Meeting Title: Brainforge Interview - Humza __ Nicolas Date: 2024-10-31 Meeting participants: Nicolas Sucari, Humza Tariq
WEBVTT
1 00:01:12.630 ⇒ 00:01:13.650 Nicolas Sucari: Hi! Whom? Sir?
2 00:01:13.870 ⇒ 00:01:15.079 Humza Tariq: Hi! How are you?
3 00:01:16.000 ⇒ 00:01:18.610 Nicolas Sucari: I’m good. Thank you. How are you?
4 00:01:18.910 ⇒ 00:01:20.210 Humza Tariq: I’m good, too.
5 00:01:20.670 ⇒ 00:01:27.129 Nicolas Sucari: Can you hear me? Well, just give me a second, because my earphones I don’t know why they are not working.
6 00:01:28.270 ⇒ 00:01:29.219 Humza Tariq: Okay? No. Problem.
7 00:01:31.430 ⇒ 00:01:34.370 Nicolas Sucari: Excellent. Now, yeah, perfect. I can hear you now.
8 00:01:34.570 ⇒ 00:01:35.074 Nicolas Sucari: Cool.
9 00:01:35.940 ⇒ 00:01:36.700 Humza Tariq: Perfect.
10 00:01:37.670 ⇒ 00:01:45.730 Nicolas Sucari: Okay, hey? Nice to meet you. Thank you for for joining. Thank you for being here this time. I don’t know. Where. Where are you based.
11 00:01:46.330 ⇒ 00:01:48.359 Humza Tariq: I’m based in Calgary.
12 00:01:48.650 ⇒ 00:01:50.229 Humza Tariq: So it’s in Canada.
13 00:01:50.430 ⇒ 00:01:51.020 Humza Tariq: Alright.
14 00:01:51.020 ⇒ 00:01:54.270 Nicolas Sucari: Nice. Okay. So what time is is right now, there.
15 00:01:54.720 ⇒ 00:01:57.610 Humza Tariq: It’s 2 Pm.
16 00:01:58.050 ⇒ 00:02:02.610 Nicolas Sucari: 2 pm, okay, so I’m 3 h ahead of you. I’m in Buenos Aires, Argentina.
17 00:02:02.940 ⇒ 00:02:04.659 Humza Tariq: Okay. So you’re at 5.
18 00:02:04.660 ⇒ 00:02:05.419 Nicolas Sucari: So, yeah.
19 00:02:05.680 ⇒ 00:02:07.620 Nicolas Sucari: yeah, it’s 5 pm, here.
20 00:02:07.920 ⇒ 00:02:09.250 Nicolas Sucari: cool, are you? Okay?
21 00:02:09.250 ⇒ 00:02:16.079 Humza Tariq: Finishing your day, or is it? Do you work, Argentina time, or do you work more of us, or.
22 00:02:16.810 ⇒ 00:02:29.660 Nicolas Sucari: So we we kind of I’m gonna explain this now. But yeah, we kind of work kind of in our own time. Zones most of the time. But as I’m working directly with
23 00:02:29.700 ⇒ 00:02:41.130 Nicolas Sucari: that is in the Us. In Texas, I’m 2 h ahead of him, so sometimes I kind of keep working a little bit more until late
24 00:02:41.758 ⇒ 00:02:44.200 Nicolas Sucari: late afternoon, so that I
25 00:02:44.330 ⇒ 00:02:48.790 Nicolas Sucari: spend more time with like at the same time that everyone as everyone else.
26 00:02:49.910 ⇒ 00:02:54.660 Nicolas Sucari: But yeah, I mean, it depends depends on the day depends on the meetings that we have. Each of us has
27 00:02:55.114 ⇒ 00:02:59.019 Nicolas Sucari: and depend on the tasks that we need to do right?
28 00:03:00.640 ⇒ 00:03:07.170 Nicolas Sucari: okay, so I’m I’m like the interview is, gonna go you? You haven’t. You didn’t talk with anyone on break for Gs, right?
29 00:03:07.870 ⇒ 00:03:08.880 Humza Tariq: No.
30 00:03:09.580 ⇒ 00:03:10.280 Nicolas Sucari: Okay.
31 00:03:11.150 ⇒ 00:03:24.909 Nicolas Sucari: excellent. Okay. So I’m going to introduce a little bit of me and a little bit of what we are doing at Brainforge. And then the idea is that you can introduce yourself. I’m gonna tell you a little bit about the projects that we have and what are we looking for.
32 00:03:24.920 ⇒ 00:03:49.429 Nicolas Sucari: So that’s how the interview will go. So I’m going to start introducing myself. Well, as you’ve seen, my name is Nicolas. I’m in Argentina. I’m 31 years old. I’m the lead project manager in Brainforge, and also the head of that practice. Now, we are kind of. We are a data consultant agency. We provide
33 00:03:49.680 ⇒ 00:04:06.749 Nicolas Sucari: insights for, or we help businesses to get insights to boost revenue, reduce costs and make better decisions from their data. We kind of partner with clients, try to integrate with their data sources and
34 00:04:06.770 ⇒ 00:04:08.700 Nicolas Sucari: do all of our work
35 00:04:08.780 ⇒ 00:04:16.720 Nicolas Sucari: workflow until we create those dashboards, reports and help them make those better decisions. Right?
36 00:04:17.459 ⇒ 00:04:20.570 Nicolas Sucari: right? Now, we are, yeah, small team.
37 00:04:20.600 ⇒ 00:04:24.500 Nicolas Sucari: I joined Brainforge like, 5 months ago.
38 00:04:25.045 ⇒ 00:04:30.609 Nicolas Sucari: And yeah, we’re still a small team around 1012 people.
39 00:04:31.470 ⇒ 00:04:39.740 Nicolas Sucari: that is, that are working with Brainforge. Some of them are kind of full time. Some of them are part time
40 00:04:40.236 ⇒ 00:04:56.499 Nicolas Sucari: we’ve got people in the us people in Philippines. I’m in Argentina. And yeah, all around the world. We work mostly. Yeah, obviously remote. But yeah, mostly us hours. We try to. As I said before, kind of
41 00:04:56.650 ⇒ 00:04:58.970 Nicolas Sucari: work together at some
42 00:04:59.010 ⇒ 00:05:03.389 Nicolas Sucari: point out of the day. We have some meetings, but we are not spending, like
43 00:05:03.892 ⇒ 00:05:19.980 Nicolas Sucari: most of the time on meetings. We try to work most most of it asynchronously and just talk through slack or other tools. And yeah, that’s kind of Brainforge. We are really flexible. And we really like to
44 00:05:20.090 ⇒ 00:05:30.020 Nicolas Sucari: innovate and try new stuff. We are kind of getting different clients with different requirements from. And our clients do
45 00:05:30.460 ⇒ 00:05:34.439 Nicolas Sucari: super different things each other. So we kind of
46 00:05:34.530 ⇒ 00:05:42.410 Nicolas Sucari: listen what they need, and try to do our our pro, our process as fast as we can, and as
47 00:05:42.470 ⇒ 00:05:46.790 Nicolas Sucari: better as we can, so that we can deliver great results for them. Okay.
48 00:05:47.242 ⇒ 00:05:52.969 Nicolas Sucari: so yeah. So that’s that’s me. That’s a little bit on Braiforge. I’d like to hear a little bit about you.
49 00:05:53.520 ⇒ 00:05:54.832 Humza Tariq: Yeah, for sure.
50 00:05:55.400 ⇒ 00:06:09.729 Humza Tariq: so I guess I can. I can start the whole story with with 2017. And that’s when I did my chemical engineering, thinking I will be a chemical engineer. So I went to a company which is a paper company, a pulp and paper company called International paper.
51 00:06:09.830 ⇒ 00:06:15.880 Humza Tariq: and there my position was more of a process improvement engineer. So what I’m doing is basically looking for
52 00:06:16.190 ⇒ 00:06:24.989 Humza Tariq: things in process that can be improved. And and 1st it was completely like chemical process. Then slowly, as I become more senior, I’m more looking into
53 00:06:25.090 ⇒ 00:06:29.669 Humza Tariq: people’s process and manufacturing and and different type, like they are not
54 00:06:30.490 ⇒ 00:06:35.690 Humza Tariq: chemically driven processes. Yeah. And in the end the idea was.
55 00:06:35.770 ⇒ 00:06:49.650 Humza Tariq: there’s optimization we can do. There’s cost, we can save. There we can we increase revenue and all that. And and I, I keep on going on that journey to the point where I was operational lead, like, I have like 12 people operations reporting to me.
56 00:06:50.380 ⇒ 00:06:59.110 Humza Tariq: But I was also getting very, very interested in data. And so I said, Okay, let’s go and do a do a data science certificate from
57 00:06:59.390 ⇒ 00:07:11.328 Humza Tariq: Edx for Harvard. So I did that. And I was like, Okay, I know all this. Can I use it somehow in my company? And so I started doing a machine learning project
58 00:07:11.840 ⇒ 00:07:17.199 Humza Tariq: But the problem was, the data quality wasn’t there. And machinery needs a lot of data.
59 00:07:17.850 ⇒ 00:07:20.379 Humza Tariq: Yeah, that’s how I got interested in data engineering.
60 00:07:21.110 ⇒ 00:07:25.509 Humza Tariq: And I started learning it to the point that I went on a boot camp and did data engineering.
61 00:07:25.740 ⇒ 00:07:44.240 Humza Tariq: And there I saw that the tools that we are using are pretty archive, like, it’s pretty old tools. There’s so much new stuff that’s around there that makes life easier. Make analysis better. So I was like, Okay, let’s work for a company where I can use all that and solve problems. And that’s where I joined properly, which is real estate, startup.
62 00:07:45.040 ⇒ 00:07:53.679 Humza Tariq: real estate startup. And there it’s a startup. You go and you work wherever you find there are multiple decisions to make because you’re trying to survive
63 00:07:54.060 ⇒ 00:08:10.110 Humza Tariq: all the time. So so did work with finance, customer, support, customer experience revenue operations like you just keep on going and and figuring out things that you do there. The data stack that we used was stitch and and we were just
64 00:08:10.310 ⇒ 00:08:16.149 Humza Tariq: pretty small team. So get into stage. Get all the Dbt and Snowflake done get to looker, make reports.
65 00:08:16.610 ⇒ 00:08:17.919 Humza Tariq: make decisions.
66 00:08:18.620 ⇒ 00:08:23.240 Humza Tariq: With with the with the current interest environment. The startup got
67 00:08:24.110 ⇒ 00:08:49.340 Humza Tariq: like they changed their direction got sold. I got laid off a big amount of people got laid off, and then I started in 2 cows, which is publicly traded company. So it’s pretty big company. But big data problems. Also because there’s a lot of data moving. And here I focus because I’m a senior analytics engineer. I focus more on Dbt snowflake optimization. But again, in the end, it’s all decisions helping make decisions
68 00:08:49.340 ⇒ 00:09:00.660 Humza Tariq: and making sure that people can get to those decisions as fast as possible, as well as also looking into tasks like Snowflake optimization. How to save calls there and all that stuff
69 00:09:01.660 ⇒ 00:09:11.470 Humza Tariq: other than that. I did a lot of others like I started teaching that boot camp that I came from. Sorry. So I’m a instructor there. Then I also have a
70 00:09:11.690 ⇒ 00:09:13.540 Humza Tariq: started a small startup
71 00:09:14.240 ⇒ 00:09:16.140 Humza Tariq: around Gen. AI.
72 00:09:16.140 ⇒ 00:09:16.530 Nicolas Sucari: Cool.
73 00:09:16.530 ⇒ 00:09:17.240 Humza Tariq: So
74 00:09:17.460 ⇒ 00:09:19.110 Humza Tariq: so, yeah, so that’s me.
75 00:09:20.020 ⇒ 00:09:34.719 Nicolas Sucari: Excellent. Well, thank you very much. That’s really cool, really cool experience that you’ve got all of these years. I didn’t tell you. But I don’t have like a software background, too. I mean, I’m a business administration degree. I have.
76 00:09:34.760 ⇒ 00:09:55.060 Nicolas Sucari: Yeah, here in Argentina. And I started working near software and software development. Like, 8 years ago, I worked, I worked in a bank. I was kind of a product owner project manager there and then. I started like really working closely into the digital stuff of the bank. And that’s how I
77 00:09:55.060 ⇒ 00:10:14.869 Nicolas Sucari: I kind of started my career near more of these kind of technical places. I worked in 2 software development companies. And that’s how I I can participate in different discussions about technical stuff. But if you give me a piece of code. And you tell me, okay, code, something. I’m not able to do it.
78 00:10:14.870 ⇒ 00:10:15.464 Humza Tariq: Yes.
79 00:10:16.340 ⇒ 00:10:37.250 Nicolas Sucari: Thankfully for now exist, Chatgpt. And these kind of great tools that will help me code anything. But yeah, I mean, my background is not so technical. So so yeah, I mean, I always was more into leading the teams into managing people and trying to get things done with the teams. So, yeah, I think
80 00:10:37.440 ⇒ 00:10:40.669 Nicolas Sucari: different approaches to to the data side of things.
81 00:10:40.670 ⇒ 00:10:41.610 Humza Tariq: And so forth, and.
82 00:10:41.610 ⇒ 00:10:48.279 Nicolas Sucari: Yeah, both both of them are super valid. And and it’s great to have like different points of view from
83 00:10:48.430 ⇒ 00:10:50.739 Nicolas Sucari: from all of us cool.
84 00:10:51.260 ⇒ 00:10:54.569 Nicolas Sucari: hey? And I was one I was wanting to ask you
85 00:10:54.790 ⇒ 00:11:08.289 Nicolas Sucari: like you. You’ve been in all the roles. It seems like that engineer and analytics engineer, you build like visual stuff using different tools. What is the the thing of that? All of that process that you like the most.
86 00:11:10.630 ⇒ 00:11:13.370 Humza Tariq: So the thing that I like the most. And
87 00:11:13.530 ⇒ 00:11:16.410 Humza Tariq: and that’s what I’m doing right now is is analytic
88 00:11:17.030 ⇒ 00:11:26.140 Humza Tariq: about technical stuff, analytics, engineering. The reason why I like it more is, there were points in my career as an analyst where I thought
89 00:11:26.200 ⇒ 00:11:28.450 Humza Tariq: that my business domain knowledge
90 00:11:28.520 ⇒ 00:11:35.050 Humza Tariq: is not that much as somebody who’s my stakeholder. And that’s where I’m like. Why don’t I just help him
91 00:11:36.090 ⇒ 00:11:47.409 Humza Tariq: get to decisions, make tools easier for him so that he can easily do what he wants to do. And that’s why analytics engineer. Just build that platform for him and guide him through it, so that if he wakes up at
92 00:11:47.930 ⇒ 00:11:52.299 Humza Tariq: 4 Am. At night, he can make his decision rather than me waiting for me to go there. So yeah.
93 00:11:53.560 ⇒ 00:12:01.939 Nicolas Sucari: So analytics. Engineering is the part that you prefer the most. And what what about that engineering stuff, like all of the 1st steps that you need to to do
94 00:12:01.970 ⇒ 00:12:06.510 Nicolas Sucari: when you’re like trying to get a new data source or working with a new client.
95 00:12:07.674 ⇒ 00:12:24.969 Humza Tariq: So so I would say that that would be the second part that I like the most analytics. Engineering is definitely the 1st part data engineering definitely like for me in the end, it’s all about solving a business problem. Right? So anything you do there is is like you can do data engineering. But
96 00:12:25.281 ⇒ 00:12:31.120 Humza Tariq: but I enjoy analytics engineering more. But I have done data engineering in terms of bringing in sources, cleaning it.
97 00:12:31.260 ⇒ 00:12:32.319 Humza Tariq: And things like that.
98 00:12:33.040 ⇒ 00:12:39.089 Nicolas Sucari: The. The only thing I’m just like telling you this or asking you these questions is because sometimes in this kind of
99 00:12:39.100 ⇒ 00:12:45.959 Nicolas Sucari: projects or this kind of world. That world, like things got mixed up right like sometimes we need obviously like
100 00:12:46.420 ⇒ 00:12:53.449 Nicolas Sucari: getting only task for analytics engineering in a small project, or in 3 or 4 different small projects. It’s kind of
101 00:12:53.510 ⇒ 00:12:56.280 Nicolas Sucari: impossible, like. Sometimes you’ll need to
102 00:12:56.290 ⇒ 00:13:19.260 Nicolas Sucari: work on ingesting a new data source through. I don’t know. Snowflake, Dbt, creating new pipelines. And it’s it’s okay if you don’t like to do it, and you don’t know how to do it. But at some point we will all need to learn. I’m learning to create visualization tools, dashboards, and stuff, and I’ve never done that before. I never wrote a pull request in my life, and I’ve been doing it now for 5 months.
103 00:13:19.460 ⇒ 00:13:20.220 Nicolas Sucari: So.
104 00:13:20.220 ⇒ 00:13:24.219 Humza Tariq: That that makes sense. And and again, I’ve I’ve worked in the startup, and I’m
105 00:13:24.290 ⇒ 00:13:31.219 Humza Tariq: I’m kind of leading a startup, and it’s like like there were a few days ago I was doing I was doing web development
106 00:13:31.410 ⇒ 00:13:35.719 Humza Tariq: because you have to. There’s just no way you. It’s not like that I am good at it.
107 00:13:35.740 ⇒ 00:13:38.280 Humza Tariq: I just have to figure it out. So that’s all.
108 00:13:38.280 ⇒ 00:13:39.130 Nicolas Sucari: Exactly.
109 00:13:39.330 ⇒ 00:14:04.219 Nicolas Sucari: Yeah, okay, love that because, yeah, we are also a startup. And we are starting to, we want to grow. We are getting more clients. And we need to work on some processes internally that we are doing. We are kind of trying to leverage all of our processes with AI obviously trying to automate everything, every process that we can that we know that it’s working and that we can automate. We can build an automation for it. We’re trying to go for it.
110 00:14:04.560 ⇒ 00:14:18.190 Nicolas Sucari: We’re all. We’re always trying to use new tools that appear in the market, so that we stay sharp on what is the latest things that are around there, and how we can help improve the products that our clients
111 00:14:18.200 ⇒ 00:14:20.410 Nicolas Sucari: have and how we can help them
112 00:14:20.480 ⇒ 00:14:39.500 Nicolas Sucari: get to that better decisions. So yeah, I mean, we are kind of looking for building this team with proactive people, with people who love communication. As I said, we work in different time zones, and sometimes it’s kind of difficult to be all of us in the same meeting. So communication is is really important through
113 00:14:39.510 ⇒ 00:14:45.100 Nicolas Sucari: through slack. I mean, we use slack a lot to communicate. And and yeah, I mean.
114 00:14:45.380 ⇒ 00:15:10.120 Nicolas Sucari: it’s really interesting how fast things move in a startup. And and in this world. There are always new tools appearing, and we are kind of trying to use them to understand what is the best tool that we can use for different things and building stuff for us internally, so that we can speed up processes and just focus on delivering better things for the clients. Right?
115 00:15:10.540 ⇒ 00:15:13.510 Nicolas Sucari: So yeah, I think you are kind of
116 00:15:13.580 ⇒ 00:15:20.180 Nicolas Sucari: in in that same stuff if you are building your own startup. But yeah, that’s that’s really cool.
117 00:15:21.810 ⇒ 00:15:28.319 Nicolas Sucari: Excellent. So do you have any question about Brainforge, about the projects, about anything we are doing, just shoot if you have.
118 00:15:28.590 ⇒ 00:15:30.509 Humza Tariq: Yeah, yeah. So so I guess.
119 00:15:30.560 ⇒ 00:15:33.280 Humza Tariq: first, st understanding, because I still work
120 00:15:33.970 ⇒ 00:15:35.209 Humza Tariq: in the morning.
121 00:15:35.830 ⇒ 00:15:36.420 Nicolas Sucari: Yeah.
122 00:15:36.640 ⇒ 00:15:41.109 Humza Tariq: So. And and this is strictly part time is, I’m hoping that’s the understanding
123 00:15:41.150 ⇒ 00:15:48.410 Humza Tariq: with you guys as well like in terms of that. And I know against a startup. Some days it would be higher. Some days it would be lower. But
124 00:15:49.210 ⇒ 00:15:53.779 Humza Tariq: but my my main job stays my main priority, and hopefully, that’s fine.
125 00:15:54.740 ⇒ 00:16:21.369 Nicolas Sucari: Yeah, yeah, I mean, we we don’t have like a hard we. We are not saying it’s gonna be full time or part time we’re just looking and trying to see, for we’re trying to look for the best team, and then we can have work around on how we are. Gonna manage all of that, I think. It will depend on the projects that we have, and if you only have part time, and we want you to be in the team. Obviously, we can work towards that. That’s totally fine. So yeah.
126 00:16:21.820 ⇒ 00:16:23.342 Humza Tariq: Okay? And then,
127 00:16:24.930 ⇒ 00:16:26.410 Humza Tariq: tell me, like.
128 00:16:26.640 ⇒ 00:16:33.219 Humza Tariq: so I have read your block. And this is some of the projects I have read about. But what does
129 00:16:33.610 ⇒ 00:16:36.200 Humza Tariq: like, what type of projects are you guys getting?
130 00:16:36.610 ⇒ 00:16:37.250 Humza Tariq: So give.
131 00:16:37.250 ⇒ 00:16:37.850 Nicolas Sucari: So.
132 00:16:37.850 ⇒ 00:16:39.030 Humza Tariq: That you’re working on some.
133 00:16:39.030 ⇒ 00:16:46.230 Nicolas Sucari: Yeah, we’re we’re getting different kind of projects on the data side. We are kind of working, for example, with
134 00:16:46.800 ⇒ 00:17:00.590 Nicolas Sucari: a client that sells pool parts along the Us. It’s called pool parts to go. They are a big e-commerce company. They sell online on Amazon shopify. We work with them with all of the
135 00:17:00.590 ⇒ 00:17:24.480 Nicolas Sucari: data stuff that we are their data team. As as like it works, we integrate all of their data into snowflake. Using Fivetran, we model using Dbt, and we create dashboards in real evidence or metabase. I know, depending on what the client needs. We kind of used to create dashboards. We do that for this client, and we help them
136 00:17:24.480 ⇒ 00:17:32.690 Nicolas Sucari: with all of their different areas in the business, shipping, marketing orders, sellings, and everything.
137 00:17:32.830 ⇒ 00:17:37.490 Nicolas Sucari: Okay? So that’s kind of one type of products that or projects that we have.
138 00:17:37.500 ⇒ 00:17:51.889 Nicolas Sucari: Other type of project is, for example, we are working with another brand that sells water in target stores like a cardboard water bottle in target stores, and they were needing to
139 00:17:51.910 ⇒ 00:17:58.839 Nicolas Sucari: identify in which target stores in the Us. They were running out of stock running out of stock. Yeah.
140 00:17:58.990 ⇒ 00:18:25.060 Nicolas Sucari: And we created an automated scrapping bot, using AI that goes in all of the stores of target in the Us and looks for that product, and in an hour we had, like a report on all of the stores that we are running out of stock, for example, and they were doing that manually. So it will depend on what are different projects. We are working also with another brand that sells coffee, concentrate
141 00:18:25.110 ⇒ 00:18:33.720 Nicolas Sucari: products in along the Us. We are building for them also different kind of dashboards. We are integrating different data sources.
142 00:18:33.750 ⇒ 00:18:54.180 Nicolas Sucari: For example, I don’t know. Always they are all selling in Amazon shopify. But but then we are also using information from Zendesk, gorgeous Okendo, different tools that they have information there, and we are kind of managing also being kind of their data team. So that’s kind of the 2 different things that we can work on. We are
143 00:18:54.180 ⇒ 00:19:19.440 Nicolas Sucari: most of it doing data projects with clients. That’s the thing that we are kind of used to. And now we are kind of trying new things in the AI side. We have like great people in the team that knows a lot on creating these agents with different tools. And we are using all of the tools that are in the market and trying to develop solutions for different problems for clients. So yeah, those are kind of the projects that we have.
144 00:19:19.890 ⇒ 00:19:22.716 Humza Tariq: Okay, that that makes sense. And then
145 00:19:23.200 ⇒ 00:19:30.739 Humza Tariq: so I’m guessing a project comes through you. You are a project manager. So then you are like, okay, let’s do this task, this task and.
146 00:19:30.740 ⇒ 00:19:31.130 Nicolas Sucari: Yeah.
147 00:19:31.130 ⇒ 00:19:35.219 Humza Tariq: I think you’re using something like Github or Jira, where you
148 00:19:35.770 ⇒ 00:19:42.419 Humza Tariq: what to do. And then somebody picks a task, and then there is like deadlines attached to it, and things like that, and then then you just go.
149 00:19:42.420 ⇒ 00:20:03.110 Nicolas Sucari: Exactly. Yeah, exactly. I mean, we use kind of a work. I’m used to working on different methodologies. I’ve been working with Scrum Kanban all of these agile methodologies. As the team is now pretty small, and it depends on the client what we need. We are kind of really flexible. We are using notion as our like documentation
150 00:20:03.110 ⇒ 00:20:14.630 Nicolas Sucari: tool, where we have all of the information for the client. For us. Internally, too, we are creating boards. There. We are using Github to manage all of the repositories.
151 00:20:14.630 ⇒ 00:20:31.109 Nicolas Sucari: We use Snowflake as our data warehouse 5 tram to integrate all of the data sources with the connectors that they have. But yeah, I mean, it’s kind of pretty normal that that way. And the only difference is, maybe we are not using scrum as we are not meeting like in a daily basis, right?
152 00:20:31.110 ⇒ 00:20:31.480 Humza Tariq: Yes.
153 00:20:31.480 ⇒ 00:20:40.669 Nicolas Sucari: Maybe we have, like a weekly meeting with the team and the client where we share what we’ve been doing. We gather new requests, we share, we try to
154 00:20:40.940 ⇒ 00:20:48.639 Nicolas Sucari: set priorities and then keep working. But yeah, we are talking a lot through slack. And yeah, that’s kind of our normal process.
155 00:20:48.640 ⇒ 00:20:53.909 Humza Tariq: Okay, that makes sense and then salary. So how does that work.
156 00:20:54.930 ⇒ 00:21:20.149 Nicolas Sucari: So it will depend. I think, that you’ll be discussing it with Utam in probably the next meeting. But yeah, it depends on. If you’re working on a part-time basis or per hour, or if you are full time, obviously. But yeah, it will depend. If it is like per hour, it will. We will set like a fair per hour, and you will receive. We track the hours using a tool called Clockify. I don’t know if you know it.
157 00:21:20.150 ⇒ 00:21:36.120 Nicolas Sucari: But yeah, it’s just self-managed. I mean, if you, we kind of trust the team, and we know when someone is like working 10 h, or it’s working 15 h right? Like, we kind of understand the processes. And what is the deliverance that we need to do? And we
158 00:21:36.190 ⇒ 00:21:42.839 Nicolas Sucari: kind of know if someone is working 2 h, or we need to work 20 h on a task. Right?
159 00:21:43.210 ⇒ 00:22:01.629 Nicolas Sucari: But yeah, the team is is pretty used to it. We track hours when when we are in an hour basis with an hour basis client where we? Yeah, we we charge by the hour. And and if not, yeah, it’s it’s just like that. If you’re part time, we set up a rate part time or a full time rate. So that’s it.
160 00:22:02.220 ⇒ 00:22:07.039 Humza Tariq: Okay, okay, that makes sense. Yep, no, that’s that’s all the question I have.
161 00:22:07.880 ⇒ 00:22:15.010 Nicolas Sucari: Excellent. Okay. Well, Humsa, really nice to to meet you. I think you have like a lot of experience. And
162 00:22:15.110 ⇒ 00:22:21.649 Nicolas Sucari: if you are really into investigating, trying new things, being proactive and communicative, on.
163 00:22:21.740 ⇒ 00:22:39.550 Nicolas Sucari: on, on the things you will do and you’ll be. You’ll be trying to to accomplish with us. I think it’s it’s gonna be great. I’m gonna send my feedback to Utam, and he will be reaching out to you, maybe, so that we can schedule. Maybe a next call with him or someone a little bit more technical, and that’s
164 00:22:39.720 ⇒ 00:22:46.460 Nicolas Sucari: may be the next step. But yeah, we will be reaching out. And yeah, thank you very much for your time. Pleasure to meet you.
165 00:22:46.460 ⇒ 00:22:49.589 Humza Tariq: Yeah, thank you very much for your time as well. And yeah.
166 00:22:50.020 ⇒ 00:22:51.170 Humza Tariq: talk to you. Thank you.
167 00:22:51.700 ⇒ 00:22:53.569 Nicolas Sucari: Have a great end of week. Bye-bye.
168 00:22:53.570 ⇒ 00:22:54.200 Humza Tariq: But.