Meeting Title: Uttam <> Fern Date: 2024-01-05 Meeting participants: Fernando Reyes, Uttam Kumaran
WEBVTT
1 00:00:35.250 ⇒ 00:00:36.120 Fernando Reyes: You know.
2 00:00:55.200 ⇒ 00:00:57.820 Fernando Reyes: Stevie, like you.
3 00:01:47.980 ⇒ 00:02:07.919 Yeah.
4 00:03:17.110 ⇒ 00:03:41.499 Fernando Reyes: there are days when I make a show boy
5 00:04:48.990 ⇒ 00:04:49.720 to
6 00:04:50.220 ⇒ 00:04:51.190 Fernando Reyes: a
7 00:04:53.170 ⇒ 00:04:59.979 so
8 00:05:00.000 ⇒ 00:05:06.910 Fernando Reyes: every day I just got in his eyes.
9 00:05:07.080 ⇒ 00:05:30.480 She never made it hard for me. See, I can’t trust my ass.
10 00:05:30.480 ⇒ 00:05:38.900 Hey, smoke at me, tree! Everybody thought they knew she needed to meet Louis
11 00:06:16.730 ⇒ 00:06:37.450 put him in a graveyard
12 00:06:38.410 ⇒ 00:06:42.720 every day.
13 00:07:07.040 ⇒ 00:07:08.690 Fernando Reyes: 0
14 00:07:08.820 ⇒ 00:07:09.850 and
15 00:07:19.650 ⇒ 00:07:20.470 Fernando Reyes: the
16 00:07:20.810 ⇒ 00:07:22.810 hee! Hee!
17 00:07:24.230 ⇒ 00:07:27.309 Fernando Reyes: Hee! Hee!
18 00:07:29.390 ⇒ 00:07:33.200 I’m I
19 00:07:34.890 ⇒ 00:07:35.590 oh.
20 00:07:36.750 ⇒ 00:07:37.780 Fernando Reyes: it’s similar!
21 00:08:34.740 ⇒ 00:08:37.970 I just did it!
22 00:11:10.270 ⇒ 00:11:10.960 Fernando Reyes: Oh.
23 00:11:11.220 ⇒ 00:11:14.310 Fernando Reyes: Cody ain’t crazy!
24 00:11:27.930 ⇒ 00:11:31.299 I’m woohoo!
25 00:12:36.340 ⇒ 00:12:38.200 Fernando Reyes: I’m
26 00:14:22.990 ⇒ 00:14:27.849 Fernando Reyes: alright finally to sleep.
27 00:15:14.010 ⇒ 00:15:16.840 so they go like softer.
28 00:15:17.100 ⇒ 00:15:28.639 Fernando Reyes: so there was no and your son, and I, there’s something like got to niggers on there like
29 00:15:29.420 ⇒ 00:15:36.090 Fernando Reyes: so nigger something like me like get a light. Dummy’s on the ice cream.
30 00:15:46.130 ⇒ 00:15:48.390 Life near sites.
31 00:15:48.420 ⇒ 00:15:52.369 Fernando Reyes: so it’s like won’t run out. What if?
32 00:18:27.090 ⇒ 00:18:29.060 Uttam Kumaran: Yeah.
33 00:18:29.220 ⇒ 00:18:30.040 Fernando Reyes: Right?
34 00:18:30.620 ⇒ 00:18:46.489 Fernando Reyes: Sorry. Dude unemployment bullshit
35 00:18:47.540 ⇒ 00:18:48.680 spiral.
36 00:18:48.840 ⇒ 00:19:02.030 Fernando Reyes: But yeah, hey? So tell me what you’re doing. Tell me what you’re doing before it was. They call like, add operations out basically like a monkey turning levers
37 00:19:02.090 ⇒ 00:19:10.690 Fernando Reyes: for a really shitty add tech company, basically like it. A quasi like add network like it’s a fucking dinosaur shit co
38 00:19:10.840 ⇒ 00:19:16.659 Fernando Reyes: or I was like helping like we’re in an agency. But we work with agencies a lot
39 00:19:16.720 ⇒ 00:19:27.809 Fernando Reyes: on like the main sort of things, kind of like getting campaigns live like et M. Tagging like basically like solutions, engineer kind of shit for like really dumb
40 00:19:27.910 ⇒ 00:19:29.220 Fernando Reyes: marketing companies.
41 00:19:29.530 ⇒ 00:19:57.089 Fernando Reyes: Okay, okay, okay. Well, explain to most people like, we put, we put ads on binocular apps making a little worse place. Yeah. 2 years that shit fucking, not allowed to show, for in terms of like skill sets some kind of like fighting the full battle and trying to like upscale like a lot of I guess I should like, you’re doing honestly, analytics engineering and like, product analy.
42 00:19:57.230 ⇒ 00:19:58.290 Uttam Kumaran: So
43 00:19:58.300 ⇒ 00:20:14.849 Uttam Kumaran: yeah, are you applying for stuff like, what sort of stuff are you applying for? And then I mean, I’ll tell you a little bit about this that I’m doing. But yeah, what are you applying for like, where it are you finding any like niche that’s working?
44 00:20:15.370 ⇒ 00:20:41.319 Fernando Reyes: I started applying to a couple of roles like, to begin with, I got just like I’m doing like low state shit. Can I just like get interview reps in? But I haven’t had any like feedback yet, cause it was before, and everyone’s like off. Anyway, I’ll change within the next, like, you know, month or 2. But yeah, my, I might just do fucking contract work just to get like, what’s what are the titles you’re going for?
45 00:20:41.630 ⇒ 00:20:45.529 Any sort of like word analyst in the title that requires some like.
46 00:20:45.610 ⇒ 00:20:49.309 Fernando Reyes: you know, like, be nice for like tableau sequel.
47 00:20:49.360 ⇒ 00:21:06.309 Fernando Reyes: you know, like all 4, all 3, all 4. Kind of work. Okay, have you done like tableau looker shit before? No like. Honestly like. Most of the work that I was doing. It was an excel, because it was such small data like these are campaigns that would do like, you know, like, and most like 10 to 100,000 rows of data.
48 00:21:06.330 ⇒ 00:21:08.620 Fernando Reyes: So and I’m trying to like.
49 00:21:09.220 ⇒ 00:21:20.310 Fernando Reyes: And I, I’m like, really skeptical a lot of like mooc shit cause like, you know, like they’re all kind of like bullshit sort of really getting nice actual work. But same time, like, you know.
50 00:21:20.950 ⇒ 00:21:27.330 Fernando Reyes: I did a couple of liquor tutorials. And I was showing a nice with that Gcp, I started doing like this like.
51 00:21:27.920 ⇒ 00:21:38.120 Uttam Kumaran: it was like a template, basically like data engineering stuff to get nice with like, red shift, easy to try trying to build like pipelines. Basically, by the time I start interviewing because I actually want to be, I’ll be like, yeah, I
52 00:21:38.120 ⇒ 00:22:00.199 Uttam Kumaran: cool. So yeah, I mean, the one thing that I would recommend is just get really nice with sequel. If you just are, if you know sequel, you can do whatever you want like. I think a lot of the folks in my industry that are kind of weak is that they’re just like they’re good at, like dragging and dropping and clicking. But
53 00:22:00.200 ⇒ 00:22:26.410 Uttam Kumaran: like SQL. Is its own language. But it’s really it’s probably the easiest language to learn, because it’s almost English, and if you generally, if you’ve done a lot of work in excel, so you know how rows and columns, work of like doing stuff quicker. So that’s so. That’s what I always recommend with people. Ask me. I’ve just like, become really, really good at sequel, because the flavors may be different, but everything looks like dimensions and metrics.
54 00:22:26.450 ⇒ 00:22:42.590 Fernando Reyes: When I’m I’m I am. I do have a bit of experience with that because, like an undergrad like, I did a bunch of work in like pandas. And like II would do that and and sequel to but effect those skills have attribute to the point where, like I’m only like at with in terms of sequel, like, I’m not like
55 00:22:42.590 ⇒ 00:23:03.500 Uttam Kumaran: sub querying and like window function. Good on. So I’m I’m gonna send you this. This jank ass site run through every thing pretty often I was like in the reps. And with that shit this is. I send this everybody, and like nobody, listens to me. But just run through this. It’s so bare bones.
56 00:23:03.500 ⇒ 00:23:15.109 Uttam Kumaran: It shows you pretty much how to do everything, and at least when you get to the interview you’ll at least know how to describe. Because again, I’ve done a lot of interviews. If you’re just interviewing for like basic analysts, roles one
57 00:23:15.130 ⇒ 00:23:36.530 Uttam Kumaran: you’re interviewing, I guess a lot of people who only can do stuff in excel or like basic looker. If you’re like, yeah, I can write queries. You’re already in like a different league, so that you should just pump and just be like, Yeah, I can write queries. I can. I can actually do data work and quickly on that. And then, second, if you get a technical interview, you’ll at least be able to like.
58 00:23:36.530 ⇒ 00:23:45.759 Uttam Kumaran: get through that, or at least be able to know the like. Lingo. Get someone who’s like super SQL. Heavy the on the on the looker, tableau side.
59 00:23:46.280 ⇒ 00:24:04.970 Uttam Kumaran: I use this and this tool. You actually can get a free I would say, spin up your own like instance of this, and I use this for my clients. Now I’ll tell you some stuff that I’m doing, but like a this is like a cheaper looker, and it’s like pretty much the same product you can get.
60 00:24:05.070 ⇒ 00:24:11.259 Uttam Kumaran: they have a demo, and you can. I think you can pretty much try a demo for free.
61 00:24:11.510 ⇒ 00:24:14.419 Uttam Kumaran: So if you want to do that.
62 00:24:14.530 ⇒ 00:24:34.910 Uttam Kumaran: that’s like I would recommend that you could spend up a red Shift instance, or I would recommend doing one on snowflake. We’ll give you like a 14 day free trial, and it’s if you don’t run anything. It’s actually it’s pretty cheap. It’s probably like 20 bucks a month, or something
63 00:24:35.560 ⇒ 00:24:52.039 Fernando Reyes: as well that did entering project, and it was like, it’s like a fucking 50 50 cents a minute or an hour, and that’s like 300 bucks a month. If you think about it, I would I would just do. I would do everything on Snowflake. You can do 14 day free trial. And then
64 00:24:52.040 ⇒ 00:25:18.540 Uttam Kumaran: it’s really, really cheap. You’re not like using it. You’re not running like a ton of stuff which you won’t be, and that way you’ll at least have the bi tool. You’ll have Snowflake. And then within Snowflake, you can get data sets from their marketplace like Google has like the tutorial ones. Yeah. So so I would say, just focus on getting it nice with sequel getting and being like, Yeah, I’m I’ve done a lot on Snowflake that’ll get you really far
65 00:25:18.540 ⇒ 00:25:27.419 Uttam Kumaran: light. Dash, it’s just like Looker, another bi tool. So it’s probably just the easiest. So like kind of figure out.
66 00:25:27.700 ⇒ 00:25:45.850 Uttam Kumaran: and then, yeah, I mean, I think on the on the job side, yeah, anything like product analysts and stuff. It’s nice because data engineer and analytics engineer, you’ll get lumped in a tech organization which means you’ll get. You’ll get like helicopter interviews
67 00:25:45.850 ⇒ 00:26:10.709 Uttam Kumaran: reversing like linked lists and shit like I’ve done that shit and it no, no, no, it’s it’s the. It’s just stupid, and it’s so fucking hard and like, I don’t interview well, either. So I would say, going through the product analyst angle is good because the people you’re going against are like people that are like, excel junkies. But they can’t scale beyond that. Yeah, they’re they’re like all fucking downers. That’s the way it was like, people. Just
68 00:26:11.430 ⇒ 00:26:35.950 Uttam Kumaran: yeah. So that’s why I think, like, just like really ripping sequel and being like nice sequel on Snowflake. That’ll that. And then just make sure that’s on the resume. You’ll get calls that way for sure. Dvt, yeah, I do. So I, for all the people I’ve worked with, I do sequel. I do. Snowflake 5 train dbt,
69 00:26:35.950 ⇒ 00:26:46.980 Uttam Kumaran: and so 5 crane is like an Etl tool. It’s like a drag and drop you just pretty much put your credentials in and load data. T is also really great. It’s kind of meta. So like
70 00:26:47.290 ⇒ 00:26:57.869 Uttam Kumaran: I would, I would. I would. 1,000% run through the there’s like a get started with Dbt, or something like that and that you’re gonna need
71 00:26:58.470 ⇒ 00:27:06.610 Uttam Kumaran: you’re gonna need like so flake, anyway. So I would totally just rip that I don’t know. I don’t know what’s the.
72 00:27:06.650 ⇒ 00:27:09.440 Uttam Kumaran: I think they just have a get started guide. But
73 00:27:09.540 ⇒ 00:27:34.699 Uttam Kumaran: there’s a lot of sharing Youtube. I would try to run through Dbt. For sure. If you have. Dbt, if you have Dbt. Snowflake, and you’re good at sequel, and you have light dash. Then that’s the stack. Then you you at least won’t get nix for not having the keywords, and not having like the talking points. Yeah. So so again. And I would say, Dbt, snowflake
74 00:27:34.870 ⇒ 00:28:01.120 Uttam Kumaran: are like modern like, it’s there’s nothing like Dbt that’s really existed before, and then Snowflake is like the best data warehouse tool. Right now you’ll you’ll at least put yourself ahead on that and you’ll find me really like not too hard. Honestly. And then you should just hit me if you have any questions. So the stuff I’m doing. So I haven’t. I worked in like data engineering for a while. And then.
75 00:28:01.120 ⇒ 00:28:13.000 Uttam Kumaran: yeah, and then was like leading leading data teams doing that. And I started doing product work. And then I started. I was working for this company, and I was like one of the early employees, and I started. I was leading product, and I started beefing with the founders
76 00:28:13.000 ⇒ 00:28:35.830 Uttam Kumaran: who who used to be used to be friends of mine. And it just got weird. And that’s I just like quit and then I was like, Okay, let me go see if I can go make money and by myself. And then that’s what I’m doing now. So I started a company, and I’m just working directly for clients doing data work. So pretty much standing up snowflake. 5 train.
77 00:28:35.880 ⇒ 00:28:40.120 Uttam Kumaran: bi tools, and dbt.
78 00:28:40.380 ⇒ 00:28:44.190 Uttam Kumaran: like I’ve done. I’ve done that stack like 10 times.
79 00:28:44.250 ⇒ 00:29:06.500 Uttam Kumaran: So it’s like, really something I’m super comfortable with, and I can move really fast. II would offer you work if I had work. But II will certainly like let you know, especially like some of the stuff I’m doing is like pretty low hanging fruit. The game for me is like, if I can get more clients, then I can give out some of the stuff that’s
80 00:29:06.500 ⇒ 00:29:28.769 Uttam Kumaran: like I can get I can cause for me. It’s like I need to focus a shit ton on sales. And I’m still doing a ton of engineering work. But that’s kind of where I’m at. But I would say again, if you if you’re if you’re familiar with Snowflake, Dbt, and you’re good, and you like are good on any of the it tool, which, like light dash, is pretty much the same. You’re league and everybody’s in
81 00:29:29.140 ⇒ 00:29:36.460 Uttam Kumaran: and if you go for a product analyst, you likely will be able to avoid the technical interview. But still be like, I am a technical.
82 00:29:36.580 ⇒ 00:29:41.080 Uttam Kumaran: Yeah, yeah, yeah, it’s basically like, yeah.
83 00:29:41.160 ⇒ 00:29:44.549 Fernando Reyes: cool. Thanks. Man. Are there any kind of like
84 00:29:44.750 ⇒ 00:29:50.100 Fernando Reyes: in terms of like sourcing companies that aren’t like really shit ones? I’ve basically just been looking through like
85 00:29:50.640 ⇒ 00:30:11.979 Fernando Reyes: series like B and C companies on like a fucking crunch base, or like portfolio companies of like all the big like Sandhill road, like, you know, PC. Firms use for. You’d recommend for like finding companies that to actually that are worth working for. Yeah. So if you go so Dbt has a slack channel on here. There’s a jobs channel where people just
86 00:30:12.270 ⇒ 00:30:14.810 Uttam Kumaran: are just ripping jobs that
87 00:30:14.840 ⇒ 00:30:18.760 Uttam Kumaran: like. And they just blurry. Put the stack they’re using and everything.
88 00:30:18.960 ⇒ 00:30:33.670 Uttam Kumaran: You will get a response. If you just DM the person that posted like 1,000, so I’m gonna I’ll add, I’ll just add you to this. I’ll I’ll invite you. And then. And then there’s a couple of other data ones that I’ll invite you to like.
89 00:30:33.760 ⇒ 00:30:39.609 Uttam Kumaran: There’s an Ml. Ops one. There’s another data, one from the all of jobs channels
90 00:30:39.760 ⇒ 00:30:55.879 Uttam Kumaran: I would recommend starting there. The other thing that I did before is, there’s this, there’s this website called built in. Have you seen that so built in I’ve used before.
91 00:30:56.310 ⇒ 00:30:59.100 Uttam Kumaran: dude. I don’t know. I wouldn’t. I like
92 00:30:59.240 ⇒ 00:31:07.149 Uttam Kumaran: I wouldn’t trust going to any like rant like just because they’re Vc back doesn’t mean it’s it’s nice.
93 00:31:07.290 ⇒ 00:31:09.840 Uttam Kumaran: I was really like.
94 00:31:10.070 ⇒ 00:31:24.959 Uttam Kumaran: cause cause again, they’re just gonna even if the the bigger the mission is, the lower the pay is. So just like I would say, Try, II would recommend going somewhere more established. Because one, it’s like, Okay, if you wanna really go deeper onto data.
95 00:31:24.960 ⇒ 00:31:34.030 Uttam Kumaran: You don’t want to learn like shitty practices, which is a lot of what happens at those they’re moving. You may have a lot of benefit going
96 00:31:34.030 ⇒ 00:31:58.749 Uttam Kumaran: later stage, like Series D, or hire. Not only is is it probably more like the pay is probably better, like the jobs, probably more defined. You actually be around people that are like, really, really good and like, but at the same time move really fast like that. That’s what I would recommend if you go. If you’re a series B series A, you may be like one of 3 people, and it’s like
97 00:31:59.010 ⇒ 00:32:15.939 Uttam Kumaran: brutal, because the expectation is going to be really high, and the skills that you’ll have and the tools that you have access to or is really low. So that’s what I would recommend. This Dbt. Job board is really good. I will think of a couple
98 00:32:16.210 ⇒ 00:32:23.570 Uttam Kumaran: more that come to mind. But I would say this like that. Gb, Dbt. Job board is usually like, where.
99 00:32:23.610 ⇒ 00:32:30.260 Uttam Kumaran: like I would start and then I’ll send you a couple of other slack invites where they have job boards.
100 00:32:31.130 ⇒ 00:33:00.179 Uttam Kumaran: And then, yeah, I guess, like, look through. If anybody comes up on your linkedin that’s like at a company that I’m connected to you. Just let me know, and I’ll tell you if I’m if I can make if I can get a word in or if there’s like, if there’s any job, Rex, that you see? That you’re like, you know, suss this out like, just send it to me. I’ll I’ll totally look at it, cause II interview yeah, I mean dude I
101 00:33:00.180 ⇒ 00:33:01.930 I not only have.
102 00:33:02.570 ⇒ 00:33:13.609 Uttam Kumaran: like interviewed a ton for these types of roles, I’ve also been on the other side. I’ve hired a ton for these types of roles. So I know exactly like, if the job wreck is kind of suss, like what they’re leaving out.
103 00:33:13.690 ⇒ 00:33:32.449 Uttam Kumaran: but I would recommend again, if you’re like, okay, I really wanna lean in on this like, analyze engineering like modern data stuff go somewhere. You’ll be around like, really, really solid people, because you’ll learn really best practices. And then you can decide, okay, do I want to go like later, earlier stage, or whatever this is like
104 00:33:32.670 ⇒ 00:33:38.179 Uttam Kumaran: this game gets more technical. So you wanna be around people who can teach you like best practices like that. So
105 00:33:39.250 ⇒ 00:33:43.800 Fernando Reyes: definitely, that’s that’s I’d I’d say. that’s like the biggest like
106 00:33:45.810 ⇒ 00:33:46.990 Fernando Reyes: the
107 00:33:47.940 ⇒ 00:33:53.829 Fernando Reyes: I just want to condense to. My last company is like I got hired for, like one thing, and they kind of just like set the rug for me, and I was doing like
108 00:33:53.880 ⇒ 00:33:57.099 Fernando Reyes: bunch of bullshit like dinosaur work. I didn’t. Wanna
109 00:33:57.120 ⇒ 00:34:12.560 Uttam Kumaran: no, I think this is a good angle like going into product analyst and then moving your way into technical is a great angle. The problem with technical shit is that if you interview for technical stuff. You’re gonna get technical interview. And it’s really hard.
110 00:34:12.630 ⇒ 00:34:37.620 Uttam Kumaran: which is like. And and again, if you’re not like what people do is they just like study lead code, and they do. It’s like, it’s really tough, like, I’m not good at that. So I also weasel my way through just getting the jobs. And then I worked. But again I have the skill set clearly. So the that representative there’s just not a good way to interview. The one thing II would say is, if you get an opportunity to work for the work for the company on a contract basis to suss
111 00:34:37.620 ⇒ 00:34:51.360 Uttam Kumaran: it out. Take that, and some companies are doing that. I’ve done that. People on my team where, I’ll say, Look, I’m not good at doing technical interviews. I’m not even good at issuing the interviews. Why don’t you come work for me for a month and we’ll suss out whether it’s it’s like good or not.
112 00:34:51.360 ⇒ 00:35:20.389 Uttam Kumaran: That’s something that if you’re like, Yeah, I believe, like you believe in yourself. You’re like, if I get in there, I’ll do the job. Something I would try to propose. Interviews are really hit or miss, a lot of people will be comfortable with arrangements like that, and it’ll give you a sense of what the company is, and as long as you you like you behind the back dump that shit. Then you’d be fine. Go crazy. Yeah, go crazy. But yeah.
113 00:35:20.520 ⇒ 00:35:26.609 Fernando Reyes: okay. So thank you, man and send me whatever like again, I’m I’m like.
114 00:35:26.610 ⇒ 00:35:50.600 Uttam Kumaran: Yeah, yeah, send me a resume. Send me your linkedin I’ll look at everything I I’ve done this so many times for a bunch of people and I’ve gone to. I’ve gone a bunch of people into this like industry, so happy to help. And then I mean, like, I’m I’m tapped in with a ton of people on like the data engine and like analytics engine side. But the the interviews are gonna be really technical.
115 00:35:50.600 ⇒ 00:36:02.430 Uttam Kumaran: So that’s why I don’t want you to burn those until you’re like, okay, I can try to rip it but again, like, just line up interviews and like get after it like I think you’ll grab it. But
116 00:36:02.440 ⇒ 00:36:20.350 Uttam Kumaran: getting some of these like getting nice with Snowflake getting good with Dbt, I would say again, Snowflake is really cheap. Dbt. Is free. Just just run through some example like run through all their guides and get comfortable with using like Vs code, or wherever you’re doing your your developer
117 00:36:20.730 ⇒ 00:36:31.429 Uttam Kumaran: like you’ll you’ll be. You’ll be leagues ahead where you are today, like in just a few weeks. So like technical capability and the ability to to talk to other technical people
118 00:36:31.430 ⇒ 00:36:51.670 Uttam Kumaran: cause fucking power. Query.
119 00:36:52.710 ⇒ 00:36:58.459 Fernando Reyes: in terms of okay. So I’m trying to do like both of those things in terms of like, prep.
120 00:36:58.540 ⇒ 00:37:01.800 Fernando Reyes: yeah, I do wanna skew towards
121 00:37:01.890 ⇒ 00:37:04.269 Fernando Reyes: analytics and data engine work.
122 00:37:04.470 ⇒ 00:37:14.910 Fernando Reyes: any sorts of stuff in that? Sec. I was. This should has me using like airflow and scheduling jobs like that. Are there any kind of like, not tutorials, but like
123 00:37:15.390 ⇒ 00:37:21.859 Fernando Reyes: out of the box. Kind of shit to get nice with that while I do like le code stuff as well for.
124 00:37:22.320 ⇒ 00:37:41.199 Uttam Kumaran: Yeah, I would let me look up. One thing I would. Don’t do. Don’t do, airflow. It’s Matt. It’s like super outdated dbt has its own orchestration. I would try. This company called hex on chat.
125 00:37:41.600 ⇒ 00:37:54.840 Uttam Kumaran: They’re like, have you? If you use pandas, use like Jupiter notebooks, they’re like a modern Jupiter notebook in the cloud. you could probably get get a demo. Yeah,
126 00:37:55.520 ⇒ 00:38:00.150 Uttam Kumaran: so I would suggest fucking around with that I but again, I think
127 00:38:00.490 ⇒ 00:38:18.710 Uttam Kumaran: dbt, and then, if like 5 tram, I don’t know, there’s not much to learn. and if you want to learn, I can give you access to like I have an instance for my company. I can just give you access, and you can play around. You need like data to move. So portion of it is like building infrared to. Actually.
128 00:38:18.800 ⇒ 00:38:42.520 Uttam Kumaran: that’s what I’m saying. Yeah. So that’s I wouldn’t worry about that. I would just go on Snowflake, go on the Snowflake data marketplace download data, sets jobs on Dbc on top of that. And then I the other. The last thing I’ll say is, get really good with using github and like version control code and then get github desktop.
129 00:38:42.620 ⇒ 00:39:12.379 Uttam Kumaran: And I, even if you want me to review stuff or review code, or I again, I can share you on repos that I have for my company. Look at that. Our Dbt projects and you’ll look at you’ll be like this is like a this is like a production. Dvt instance. No, it’s tough, because this is a lot of stuff you’ll have to do is like Demo. But again, I have like production versions of like all this stuff
130 00:39:12.380 ⇒ 00:39:19.790 Uttam Kumaran: at like pretty high level. So as soon as you get familiar, if you have questions about running models, like doing like
131 00:39:19.840 ⇒ 00:39:29.039 Uttam Kumaran: whatever it is, just hit me and we can hop off on. I’m happy to share.
132 00:39:29.220 ⇒ 00:39:41.959 Fernando Reyes: Thank you. This is actually really helpful. What’s your like? Yeah, I guess. Like, what’s your situation? Are you running out of cash like? What’s your what’s your timeline like II was looking at the fucking service like I applied for employment. They still haven’t fucking hit me back.
133 00:39:42.010 ⇒ 00:39:46.500 Fernando Reyes: I paid like rent for this month, but I’m I’m honestly I’m I’m selling the car. Probably sell watch.
134 00:39:46.730 ⇒ 00:40:00.570 Fernando Reyes: and then haven’t been a runaway to at least my lease hands. But like. in the meantime, I’m going to be just like trying to do either like contract work or like service industry shit. And then like doing all this shit while I trying to interview
135 00:40:00.650 ⇒ 00:40:06.739 Fernando Reyes: it’s like a place to be, but you know, been through a lot worse, and I’ll I’ll be fine, but it fucking.
136 00:40:06.770 ⇒ 00:40:15.610 Uttam Kumaran: I think you can nail this student lean on me like. Don’t hesitate to just hit me with questions. I don’t know. I think I have your number, but I’ll just send it here.
137 00:40:16.690 ⇒ 00:40:33.100 Uttam Kumaran: Yeah, just hit me with anything. II think you’re more than qualified. But again, the gatekeeping that happens in data are these tools again, don’t use these tools until you’re in a company. So these are a couple of ways for you to kind of circumvent that.
138 00:40:33.100 ⇒ 00:40:56.949 Uttam Kumaran: And then, yeah, just line up as many fucking calls as possible like and do calls like this dude. I’m telling you, if you go if you just email people. And you’re like, Hey, I just wanna learn more about being a product analyst or whatever you know, people like wanna talk about themselves. They’re gonna they’ll hear you talk. And then they’ll be like, actually, we have an opening or something. So the tough part about Linkedin dude is like you get, especially for jobs that are
139 00:40:57.090 ⇒ 00:41:16.850 Uttam Kumaran: like as a job requirement gets wider and wider, the amount of people that apply get larger and large. So you see, shit with like, 1,000, it’s like, yeah, yeah. I mean, like, again, I put jobs on there. You’re getting like people that that just like they just spam. They have like bots that that’s so
140 00:41:17.090 ⇒ 00:41:25.980 Uttam Kumaran: the game is either to email someone directly and be like Yo, this is my background. So I’m doing. I want, can you guys give me a shot.
141 00:41:26.030 ⇒ 00:41:35.609 Uttam Kumaran: or you or you you find stuff through like the slack channels that are like off market. So again, off market is the only market II figured out, and like doing this type of shit. So
142 00:41:35.610 ⇒ 00:42:00.419 Uttam Kumaran: the only thing that Linkedin will do is get you more dissuaded cause you won’t hear back from anybody. You know what I’m doing for my company. I’m applying to positions with my resume and like my team’s resume, I’m not getting anything back. I’m like stuff I’m over qualified for. I’m telling you. It’s just gonna make you feel sad the more you can talk to people in the field, and I’m happy to connect you
143 00:42:00.420 ⇒ 00:42:06.329 Uttam Kumaran: people, too, like the more you talk to people in the field, they’ll give you these types of like ends
144 00:42:06.330 ⇒ 00:42:31.300 Uttam Kumaran: and like just work. Those angles, like anything clearly advertise is not the right angle. No, I know it’s tough, but but it’s like dude. I don’t know. I realize in life like there’s it’s always through the side door for me. Yeah, it’s kinda it’s been for me as well, man, so it’s it’s never. I’ve never gone through the front door on anything.
145 00:42:31.300 ⇒ 00:42:49.960 Uttam Kumaran: And I’m like literally my whole life now is a side door. I’m like in a side quest. So I don’t know. I think like that’s that’s the overall advice to give you is like, try a lot of these things like a lot of stuff again. No one really writes about because it’s not
146 00:42:49.960 ⇒ 00:42:59.340 Uttam Kumaran: common, and you’ll get a lot of you get a lot of Bs, and you’ll spin your wheel. So yeah, yeah.
147 00:42:59.720 ⇒ 00:43:21.629 Uttam Kumaran: thank you, man, seriously, really appreciate it. Product. I’ll send you a couple of profiles of people that
148 00:43:21.630 ⇒ 00:43:36.189 Uttam Kumaran: are in that world, and then you can tell if anything is interesting, even again, to talk to them about like what the deal is, and those conversations like you never know, like they may have a role or whatever. But again, I’ll just plug you with a couple of people
149 00:43:36.190 ⇒ 00:43:55.149 Fernando Reyes: one last thing in terms of like you’re doing like Pm, work as well. What do you like about that versus like working? I pm, work is tough because you don’t do any the actual work. Really, you’re more of like,
150 00:43:55.460 ⇒ 00:44:07.519 Uttam Kumaran: and it depends on the company you’re at like I was doing Pm, work where it’s like, you’re working between designers, engineers, and like management on like shipping product and customers. It’s a fucking hard job like.
151 00:44:07.630 ⇒ 00:44:23.150 Uttam Kumaran: And it’s really thankless. Cause. If you if the product sucks, then you take it. If the products go, then your whole team gets the credit. So you’re not, you’re not. You’re in. Your your position is like a you just like you’re grease, or you’re just supposed to grease wheels.
152 00:44:23.150 ⇒ 00:44:47.979 Uttam Kumaran: But the problem is like I was technical. And then I got to that role. So I was like Homey’s with all the engineers. And then I came home is all the designer. So like I’m like from the way I run stuff is like, I’m like someone at the I like hanging with all the people at the bottom like I don’t do management type stuff. It gave me a lot of goodwill. So cause I so I get really stuck stuff done. But a lot of my friends who are just came into product ever had any actual
153 00:44:47.980 ⇒ 00:44:55.599 Uttam Kumaran: skills except for just like charisma. Yeah, yeah, that’s usually it’s like Mba. So I don’t know. I don’t. Really.
154 00:44:55.600 ⇒ 00:45:11.610 Uttam Kumaran: I don’t really respect that role of time, even after I did it for almost 3 years, like, I, just a lot of Bs, a lot of politics, and I would rather be the builder and do that. Just do that.
155 00:45:11.610 ⇒ 00:45:26.069 Uttam Kumaran: the and and I don’t know. I have a lot of like I’m an engineer. I have a lot of respect for engineers. I think if you’re an engineer that can have good chat, then you’re golden. But there’s no a lot of people in engineering, you’ll find, are so talented. But they lack communication.
156 00:45:26.070 ⇒ 00:45:50.769 Uttam Kumaran: Yeah, exactly. And so the you know, they suck like they’re not. They’re not fun to be around and like, you know, the people that are fun to be around, or people that can do complicated stuff, but make it seem easy and boil it down and communicate it effectively. And I, the Re, and I will say, that’s my big push for data is like data. You still need to understand business concepts like
157 00:45:50.960 ⇒ 00:45:59.899 Uttam Kumaran: spend campaigns, ads advertising. But then you’re still your medium of interacting with. That is a technical software that I think is perfect because
158 00:45:59.900 ⇒ 00:46:24.840 Uttam Kumaran: you’ll get access to all these different domains. If you’re a product analyst, you may go work with marketing data sales, data data. So like, it’s if you’re interested in business, it’s a perfect feel, because you could talk to all that. And that’s what I love, because, like again, I work with clients. Now that I’m like doing real estate stuff, or I’m doing like, I’m like working on all types of shit. And I just like know enough about it. And it’s
159 00:46:24.840 ⇒ 00:46:42.189 Uttam Kumaran: it’s like, really fun.
160 00:46:42.750 ⇒ 00:46:46.989 Uttam Kumaran: It’s like, I have 0 respect for
161 00:46:47.350 ⇒ 00:46:52.410 Uttam Kumaran: it’s so like, yeah, I don’t know. I just. And I don’t know. Yeah, it’s like
162 00:47:04.540 ⇒ 00:47:11.340 Uttam Kumaran: as a product manager, a lot of these companies. All you do is you’re like.
163 00:47:11.340 ⇒ 00:47:36.119 Uttam Kumaran: Hey, team! Happy Monday. John, like, what’s your on your backlog? Okay, Sally, what’s up? You’re literally just like the facilitator with being the facilitator is they don’t understand because you created this job. The engineers are capable of walking through the fucking to do list. You created this fake job. And then you’ve now taken responsibility from. You’ve taken agency
164 00:47:36.120 ⇒ 00:47:58.359 Uttam Kumaran: from the people doing the work. It’s like an agency issue. And then it’s like again, once, if you’re a product person and you kinda get big and you get budget and you hire other product people. Because you’re like out of ego, it’s like, that’s the cycle. And that product management which was like, Oh, just have nice engineers that can talk product management to do list
165 00:47:58.510 ⇒ 00:48:14.929 Uttam Kumaran: and get the job done like, I like that. I like design. Yeah, I mean, I but I think designers the same way. Like, I think they’re just like creative. They they engineer problems and solutions. And they have workflows. They go through. So I think they’re just as talented like product.
166 00:48:15.150 ⇒ 00:48:31.369 Uttam Kumaran: I would say you need at some big companies, or if you need really complicated products where you need to be thinking about. But again, most of the product management isn’t like looking in the market doing market analysis, coming with product specs, stand ups and shit. So what’s crazy is like.
167 00:48:31.700 ⇒ 00:48:35.330 Fernando Reyes: I. What I found, too, is like the the really shit product. Managers are
168 00:48:35.360 ⇒ 00:48:39.430 Uttam Kumaran: like glorified project managers like.
169 00:48:47.080 ⇒ 00:48:53.659 Fernando Reyes: So thanks, Ben, that was actually like, really I was. It’s valid here. Can she like that to get better at understanding the way? That
170 00:48:53.840 ⇒ 00:48:58.709 Fernando Reyes: is that that was our company? Was it really shipped company? We had a product team. But they were really doing shit. So
171 00:48:58.720 ⇒ 00:49:07.989 Uttam Kumaran: I’ve I’ve yeah, I’ve just. I’ve worked for a bunch of people, and I’ve like, I don’t know this. The only thing I like data is the one thing where I’m like.
172 00:49:08.020 ⇒ 00:49:13.629 Uttam Kumaran: I feel like I’m like in the Nba. I don’t know. There’s not much else where I’m like.
173 00:49:13.910 ⇒ 00:49:32.079 Uttam Kumaran: I’m like close to the edge. But this is a field now, or I’m like, feel pretty close to the edge, and also like in terms of having the network. Just have a lot of people to lean on and get knowledge from. So again.
174 00:49:32.850 ⇒ 00:49:53.680 Uttam Kumaran: I don’t know. Do that. New Year’s is kind of a while time. So I kinda got a chill. I’m like, Fell hung over till Wednesday. Yeah, I’m just gonna chill. I might be in New York early, Fab. So I was gonna hit you up and hit some people up. Maybe it will be cold. It will be cold. Yeah.
175 00:49:53.930 ⇒ 00:49:54.970 Uttam Kumaran: I’ll let you know.
176 00:49:55.570 ⇒ 00:49:59.909 Fernando Reyes: Thanks, man, yeah. Hear me about this stuff next week. Yeah. Alright. Take care.