Meeting Title: Awaish-Garrett 1:1 Date: 2026-04-13 Meeting participants: Garrett Gibson, Awaish Kumar
WEBVTT
1 00:00:37.940 ⇒ 00:00:39.090 Garrett Gibson: Ayyo.
2 00:00:40.670 ⇒ 00:00:42.049 Awaish Kumar: Hi, Garrett, how are you?
3 00:00:42.470 ⇒ 00:00:44.229 Garrett Gibson: Good. How you doing?
4 00:00:44.230 ⇒ 00:00:45.600 Awaish Kumar: How you doing? I’m good.
5 00:00:46.540 ⇒ 00:00:52.760 Garrett Gibson: Awesome. I just wanted to, let me share my screen, actually, so I can go over with you,
6 00:00:54.160 ⇒ 00:01:00.689 Garrett Gibson: I guess it would tell him he wants to update this data sources tab, is that right? Like, from his Slack?
7 00:01:03.940 ⇒ 00:01:04.730 Awaish Kumar: Okay.
8 00:01:06.240 ⇒ 00:01:07.010 Garrett Gibson: Psycho.
9 00:01:07.010 ⇒ 00:01:08.940 Awaish Kumar: I just wanted to grab the links.
10 00:01:09.390 ⇒ 00:01:10.920 Awaish Kumar: Further sources, so…
11 00:01:12.340 ⇒ 00:01:15.990 Garrett Gibson: Oh, so do we need to just add a new column here, or something, or…
12 00:01:17.130 ⇒ 00:01:21.540 Awaish Kumar: You can just make it a hyperlink in the name, also.
13 00:01:22.890 ⇒ 00:01:25.819 Garrett Gibson: Oh, you mean added, like, new roads?
14 00:01:26.410 ⇒ 00:01:31.129 Awaish Kumar: No, no, I mean, for example, it is for immersion… So, rule number 6.
15 00:01:31.310 ⇒ 00:01:34.639 Awaish Kumar: column name. One way is you can make it a hyperlink.
16 00:01:34.920 ⇒ 00:01:39.539 Awaish Kumar: So anybody clicks on it, and it can go to the… Documentation, and…
17 00:01:39.540 ⇒ 00:01:42.520 Garrett Gibson: Oh, god, that’s what he meant, so I can go, like.
18 00:01:43.840 ⇒ 00:01:45.919 Awaish Kumar: Oh, no, no, I mean…
19 00:01:45.920 ⇒ 00:01:46.470 Garrett Gibson: True.
20 00:01:46.660 ⇒ 00:01:47.950 Awaish Kumar: Name, name…
21 00:01:50.280 ⇒ 00:01:53.599 Garrett Gibson: The… the link for the… this documentation, right?
22 00:01:54.680 ⇒ 00:01:55.329 Garrett Gibson: This one?
23 00:01:56.490 ⇒ 00:01:58.619 Awaish Kumar: No, no, no, no, no, no, this one, yeah.
24 00:01:59.610 ⇒ 00:02:02.360 Garrett Gibson: To paste the link in the spreadsheet he wants?
25 00:02:05.620 ⇒ 00:02:09.909 Awaish Kumar: Yeah, like, linking means that, right? He just wants to add link.
26 00:02:10.740 ⇒ 00:02:12.389 Garrett Gibson: So where’s Emerson?
27 00:02:12.980 ⇒ 00:02:15.269 Awaish Kumar: Yeah, this is… whole document is for Emerson.
28 00:02:16.640 ⇒ 00:02:18.679 Garrett Gibson: Oh, okay, so just put it over here.
29 00:02:19.000 ⇒ 00:02:19.670 Awaish Kumar: Yeah.
30 00:02:28.320 ⇒ 00:02:31.250 Awaish Kumar: Like, this is one way. Other ways, you can also just…
31 00:02:31.410 ⇒ 00:02:33.289 Awaish Kumar: Like, if you’re going to the left.
32 00:02:35.900 ⇒ 00:02:38.050 Awaish Kumar: If you click on Walmart.com.
33 00:02:41.040 ⇒ 00:02:44.790 Awaish Kumar: Like, like that. Like, you can also add a hyperlink like that.
34 00:02:44.790 ⇒ 00:02:47.760 Garrett Gibson: Oh, okay, I could just do it that way, it’s probably better, huh?
35 00:02:48.010 ⇒ 00:02:48.720 Garrett Gibson: Huh?
36 00:02:54.660 ⇒ 00:02:58.150 Garrett Gibson: Yeah, sorry. Still early for me.
37 00:03:01.830 ⇒ 00:03:02.750 Garrett Gibson: Okay.
38 00:03:05.040 ⇒ 00:03:09.729 Garrett Gibson: Is there any other links that we should add? Or is that kind of the main one for right now?
39 00:03:10.160 ⇒ 00:03:12.590 Awaish Kumar: Yeah, that’s the only one for now.
40 00:03:12.590 ⇒ 00:03:13.250 Garrett Gibson: Outgrow.
41 00:03:14.260 ⇒ 00:03:15.000 Garrett Gibson: Got it.
42 00:03:15.170 ⇒ 00:03:21.339 Awaish Kumar: We haven’t… Yeah, like, we created some memos for Merson, and then.
43 00:03:22.340 ⇒ 00:03:26.060 Awaish Kumar: There… there are others that… those are for tools, right?
44 00:03:27.280 ⇒ 00:03:29.829 Awaish Kumar: Then you can also do that. There are some…
45 00:03:31.280 ⇒ 00:03:37.419 Awaish Kumar: In the spreadsheet, there’s also… there should be a sheet for tools.
46 00:03:39.730 ⇒ 00:03:41.710 Garrett Gibson: Let’s see here, tools…
47 00:03:42.350 ⇒ 00:03:43.180 Awaish Kumar: Yeah, data tools.
48 00:03:43.180 ⇒ 00:03:44.410 Garrett Gibson: source…
49 00:03:44.640 ⇒ 00:03:45.260 Awaish Kumar: Yeah.
50 00:03:45.430 ⇒ 00:03:49.809 Awaish Kumar: So, there is a… there are docks in the drive.
51 00:03:50.120 ⇒ 00:03:56.819 Awaish Kumar: shared drive with element. There are memos for Snowflake, there is a memo for Polytomic.
52 00:03:57.340 ⇒ 00:03:59.470 Awaish Kumar: So, you can link those as well.
53 00:04:00.740 ⇒ 00:04:03.899 Garrett Gibson: Okay, that would be in Slack, you said? To get this?
54 00:04:04.250 ⇒ 00:04:06.280 Awaish Kumar: No, no, Drive, Drive, Google Drive.
55 00:04:06.280 ⇒ 00:04:07.939 Garrett Gibson: Oh, Google Drive, okay.
56 00:04:08.790 ⇒ 00:04:12.260 Garrett Gibson: I don’t know, I probably don’t have access to all those yet, though, right?
57 00:04:12.260 ⇒ 00:04:14.140 Awaish Kumar: Yeah, but if you go to Google Drive.
58 00:04:14.240 ⇒ 00:04:17.459 Awaish Kumar: Can you… can you look at the shared drives?
59 00:04:18.060 ⇒ 00:04:19.449 Garrett Gibson: Oh yeah, let me check if I have…
60 00:04:19.459 ⇒ 00:04:20.729 Awaish Kumar: This one, on this one.
61 00:04:22.750 ⇒ 00:04:24.010 Garrett Gibson: This one?
62 00:04:27.690 ⇒ 00:04:30.200 Awaish Kumar: Yeah, in this, you should find…
63 00:04:30.780 ⇒ 00:04:33.990 Awaish Kumar: Memos, maybe. Yeah, search for it.
64 00:04:43.680 ⇒ 00:04:45.679 Awaish Kumar: like, ETL tool assessment memo.
65 00:04:45.680 ⇒ 00:04:46.960 Garrett Gibson: Better tool metal…
66 00:04:47.460 ⇒ 00:04:50.840 Awaish Kumar: Yeah, there should be one for warehouse.
67 00:04:51.330 ⇒ 00:04:53.190 Awaish Kumar: Data warehouse, and then…
68 00:05:01.230 ⇒ 00:05:03.719 Garrett Gibson: I think they’re all up here, mostly, right?
69 00:05:07.560 ⇒ 00:05:10.520 Awaish Kumar: This is Immersand, an ETL tool, there is a…
70 00:05:14.190 ⇒ 00:05:22.100 Awaish Kumar: Omni Wholesale dash… no, no. Yeah, this… there’s a BI tool memo that you can maybe link to Omni.
71 00:05:22.370 ⇒ 00:05:24.500 Garrett Gibson: Okay, let me check this one.
72 00:05:25.190 ⇒ 00:05:26.030 Awaish Kumar: No.
73 00:05:30.530 ⇒ 00:05:33.249 Garrett Gibson: That would be… Omni, or…
74 00:05:33.720 ⇒ 00:05:35.309 Awaish Kumar: Yeah, BI tool is only…
75 00:05:35.570 ⇒ 00:05:36.080 Garrett Gibson: Duh.
76 00:05:41.920 ⇒ 00:05:42.840 Garrett Gibson: Okay.
77 00:05:43.630 ⇒ 00:05:44.470 Awaish Kumar: Yeah, sorry.
78 00:05:44.470 ⇒ 00:05:49.909 Garrett Gibson: taking a… I just started looking at this spreadsheet, like, the milestone tracker, you know, stuff like that.
79 00:05:52.590 ⇒ 00:05:54.379 Awaish Kumar: ETL tool is polyatomic.
80 00:05:54.930 ⇒ 00:05:58.140 Awaish Kumar: They should find something for Snowflake as well.
81 00:05:58.800 ⇒ 00:05:59.860 Awaish Kumar: And then…
82 00:05:59.860 ⇒ 00:06:02.749 Garrett Gibson: I think we saw ETL tool right here.
83 00:06:09.320 ⇒ 00:06:10.760 Garrett Gibson: That’d be DBT.
84 00:06:11.260 ⇒ 00:06:13.530 Awaish Kumar: No, no, it’s a polyatomic.
85 00:06:13.800 ⇒ 00:06:15.019 Garrett Gibson: the post, I don’t see.
86 00:06:17.300 ⇒ 00:06:18.260 Garrett Gibson: Okay.
87 00:06:20.440 ⇒ 00:06:25.920 Awaish Kumar: Yeah, I don’t know. There could be more documentation. I have created it, but I don’t remember all of it.
88 00:06:25.920 ⇒ 00:06:29.940 Garrett Gibson: I can… I can go through and kind of, you know, see what to add.
89 00:06:31.900 ⇒ 00:06:39.549 Garrett Gibson: Cool. Yeah, I was just kind of organizing that. I think Hutam just wants that for, you know, LMNT more.
90 00:06:39.860 ⇒ 00:06:40.420 Awaish Kumar: Okay.
91 00:06:41.940 ⇒ 00:06:49.939 Garrett Gibson: But yeah, thanks for syncing up. Now, I guess, we don’t probably need to meet later. Yeah, just wanted to, you know, introduce myself.
92 00:06:50.080 ⇒ 00:06:56.940 Garrett Gibson: Yeah, just joined the team last week, kind of as, like, a… I think I’m part of the CSO team, so that’s, like…
93 00:06:57.300 ⇒ 00:06:59.909 Garrett Gibson: You know, client services kind of team.
94 00:07:00.540 ⇒ 00:07:04.549 Garrett Gibson: And then I mainly focus on, like, element, you know, client…
95 00:07:06.550 ⇒ 00:07:11.879 Garrett Gibson: And so, one of the things I’m helping with is the, the weekly tech.
96 00:07:12.100 ⇒ 00:07:13.000 Garrett Gibson: You know that we have…
97 00:07:14.580 ⇒ 00:07:17.770 Awaish Kumar: What is the structure right now on Elevent?
98 00:07:18.750 ⇒ 00:07:24.460 Garrett Gibson: Oh yeah, mostly right now, I’m helping, kind of like, with the weekly reporting, you know, and stuff like that.
99 00:07:26.070 ⇒ 00:07:34.330 Garrett Gibson: So, like, helping update, like, all the kind of presentations and stuff, you know, we have, like, for Shivani’s weekly call.
100 00:07:35.200 ⇒ 00:07:40.259 Garrett Gibson: So I’m getting a lot of the data, like, from Slack and Linear, you know, to update these slides.
101 00:07:40.580 ⇒ 00:07:46.509 Garrett Gibson: Okay. And then also, keeping track of, kind of, like, our roadmap, you know? Like, of all the…
102 00:07:46.770 ⇒ 00:07:53.720 Garrett Gibson: Like, linear tickets, and then kind of, like, the high-level milestones that we have, you know, from the milestone tracker.
103 00:07:55.400 ⇒ 00:07:58.450 Garrett Gibson: that’s, like.
104 00:07:58.640 ⇒ 00:08:05.710 Garrett Gibson: one of the things, I’ve been focusing on, and then also a little bit, on,
105 00:08:05.950 ⇒ 00:08:14.000 Garrett Gibson: Let’s see if I have it open here to share with you. One second… I have it on,
106 00:08:16.150 ⇒ 00:08:17.020 Garrett Gibson: Damn.
107 00:08:19.050 ⇒ 00:08:21.260 Garrett Gibson: I closed it, let me check here.
108 00:08:25.750 ⇒ 00:08:28.879 Garrett Gibson: Oh, no, I have it open here, sorry. Too many tabs right now.
109 00:08:29.410 ⇒ 00:08:33.450 Garrett Gibson: Yeah, here’s, like, a Figma, kind of like a…
110 00:08:34.080 ⇒ 00:08:36.730 Garrett Gibson: Like a, org chart, you know, kind of?
111 00:08:37.000 ⇒ 00:08:40.030 Garrett Gibson: That I’m creating for Element, project.
112 00:08:40.860 ⇒ 00:08:45.089 Garrett Gibson: So this just shows, like, you know, all the team members, and…
113 00:08:45.610 ⇒ 00:08:51.390 Garrett Gibson: You know, what we do, like, operating checkpoints, You know, things like that.
114 00:08:52.340 ⇒ 00:08:56.889 Garrett Gibson: So yeah, just kind of, like, refining this, you know, sharing it with Utsom.
115 00:08:57.020 ⇒ 00:08:58.189 Garrett Gibson: And Robert also.
116 00:09:00.560 ⇒ 00:09:02.209 Garrett Gibson: Yeah, I see her name here.
117 00:09:02.340 ⇒ 00:09:03.810 Garrett Gibson: A lot.
118 00:09:05.480 ⇒ 00:09:06.170 Awaish Kumar: Yeah.
119 00:09:07.780 ⇒ 00:09:14.150 Garrett Gibson: I’m going to, yeah, just keep, updating this? Yep.
120 00:09:15.110 ⇒ 00:09:17.360 Awaish Kumar: Yeah, let’s talk about you, right?
121 00:09:17.360 ⇒ 00:09:23.639 Garrett Gibson: Yeah, absolutely. Yeah, my, so my background, I, I came from Disney recently, so I was working
122 00:09:23.820 ⇒ 00:09:27.840 Garrett Gibson: And kind of, like, the data science, like, data engineering.
123 00:09:28.110 ⇒ 00:09:29.389 Garrett Gibson: Department there?
124 00:09:30.060 ⇒ 00:09:31.139 Garrett Gibson: Fit.
125 00:09:31.140 ⇒ 00:09:32.240 Awaish Kumar: Where you were working with?
126 00:09:32.750 ⇒ 00:09:33.599 Garrett Gibson: Disney?
127 00:09:34.510 ⇒ 00:09:35.280 Awaish Kumar: Disney?
128 00:09:35.280 ⇒ 00:09:35.840 Garrett Gibson: Yeah.
129 00:09:36.490 ⇒ 00:09:39.809 Awaish Kumar: Okay, so you were working as a data…
130 00:09:40.590 ⇒ 00:09:43.539 Garrett Gibson: Kind of like a PM, like a TPM as well?
131 00:09:43.760 ⇒ 00:09:50.579 Garrett Gibson: And so working closely, like, with, you know, system architects, you know, data engineers, you know, things like that.
132 00:09:51.720 ⇒ 00:09:54.389 Awaish Kumar: How it looks… how it looks and, like,
133 00:09:55.870 ⇒ 00:09:59.020 Awaish Kumar: In terms of, like, the workload and things like that.
134 00:09:59.330 ⇒ 00:10:00.460 Awaish Kumar: In Disney.
135 00:10:01.190 ⇒ 00:10:10.230 Garrett Gibson: Yeah. Well, it was pretty much, like, a focused project, like, think, coming in, you know, assessing the current, data architecture that they had, and then…
136 00:10:10.460 ⇒ 00:10:16.540 Garrett Gibson: doing, like, a current state analysis versus, you know, future state. So I partnered
137 00:10:16.810 ⇒ 00:10:21.549 Garrett Gibson: With, like, the system architect to build a new system design for how…
138 00:10:21.710 ⇒ 00:10:25.949 Garrett Gibson: all the different, systems, like, you know, Databricks, Snowflake.
139 00:10:26.180 ⇒ 00:10:29.700 Garrett Gibson: BigQuery, how they would all interact, you know, with each other.
140 00:10:30.280 ⇒ 00:10:36.620 Garrett Gibson: And this was all data related to, like, targeted, ads, you know, for the ad sales.
141 00:10:36.770 ⇒ 00:10:38.170 Garrett Gibson: Organization?
142 00:10:39.200 ⇒ 00:10:45.809 Garrett Gibson: So kind of, you know, doing a lot of requirements, documentation, in the beginning.
143 00:10:46.280 ⇒ 00:10:53.730 Garrett Gibson: You know, building the system, the architecture, diagram, you know, schema mapping for Databricks.
144 00:10:54.070 ⇒ 00:10:55.280 Garrett Gibson: Kind of the…
145 00:10:55.800 ⇒ 00:11:05.200 Garrett Gibson: Standard operating procedures, you know, how the different teams would interact with the new data warehouse, and kind of write to the data warehouse, you know, things like that.
146 00:11:06.290 ⇒ 00:11:12.140 Garrett Gibson: And then I also did a lot of, like, weekly roadmap reporting to kind of
147 00:11:12.520 ⇒ 00:11:15.710 Garrett Gibson: You know, show leadership progress, and…
148 00:11:16.190 ⇒ 00:11:18.640 Garrett Gibson: You know, things like that, so…
149 00:11:18.800 ⇒ 00:11:23.560 Garrett Gibson: Yeah, it was good. It was a very, you know, involved kind of project, so…
150 00:11:26.700 ⇒ 00:11:34.150 Awaish Kumar: So… Disney… like, how big was the team? Like, how you compare it to Brain Forge and…
151 00:11:34.400 ⇒ 00:11:36.010 Awaish Kumar: What do you think about…
152 00:11:36.280 ⇒ 00:11:45.149 Garrett Gibson: Yeah, it was definitely a bigger scale, because it was more, you know, enterprise, so it was, you know, interfacing with a lot of, internal teams and things like that.
153 00:11:45.390 ⇒ 00:11:48.669 Garrett Gibson: So, you know, had to kind of understand their…
154 00:11:49.190 ⇒ 00:11:53.300 Garrett Gibson: Their kind of procedures, you know, that they had internally?
155 00:11:54.140 ⇒ 00:11:54.490 Awaish Kumar: Okay.
156 00:11:54.490 ⇒ 00:12:04.830 Garrett Gibson: So that was kind of like a, you know, when you’re coming into, like, an enterprise environment, that’s kind of like a learning curve, you know, when you’re first coming in as, like, a contractor, so…
157 00:12:08.680 ⇒ 00:12:13.639 Awaish Kumar: So, like, how did you find working at Brainforge versus working at Disney?
158 00:12:14.740 ⇒ 00:12:21.369 Garrett Gibson: Yeah, so far, I like, actually, the smaller kind of scale, because you get to kind of know people more, and you’re more.
159 00:12:21.370 ⇒ 00:12:23.299 Awaish Kumar: Not in terms of scale, but in terms of, like.
160 00:12:23.600 ⇒ 00:12:27.290 Awaish Kumar: How we work, the process, the…
161 00:12:27.930 ⇒ 00:12:31.009 Awaish Kumar: Collaboration, and, like, different other things.
162 00:12:31.430 ⇒ 00:12:42.669 Garrett Gibson: Yeah, no, I think, it feels, like, more faster here, like, easier to kind of collaborate and, you know, to work on things, as opposed to, like, when you’re in a bigger, company, like, it’s harder to…
163 00:12:42.880 ⇒ 00:12:46.280 Garrett Gibson: Give people’s time, you know, and things like that.
164 00:12:46.430 ⇒ 00:12:51.639 Garrett Gibson: So it’s not, you know, it’s harder to kind of make progress faster, right? So…
165 00:12:51.940 ⇒ 00:12:57.339 Garrett Gibson: I think that’s kind of one of the biggest, you know, differences that I see, so…
166 00:13:01.520 ⇒ 00:13:02.170 Awaish Kumar: Okay.
167 00:13:03.690 ⇒ 00:13:04.910 Awaish Kumar: Yeah.
168 00:13:05.560 ⇒ 00:13:08.900 Garrett Gibson: How about you? How long have you been at Brainforge?
169 00:13:09.720 ⇒ 00:13:12.619 Awaish Kumar: Yeah, I’ve been here for a year now.
170 00:13:18.550 ⇒ 00:13:23.150 Awaish Kumar: I have been for an year now, and… what I’ve been doing, like…
171 00:13:25.500 ⇒ 00:13:29.150 Awaish Kumar: Yeah, like, when I started, we were even smaller than the.
172 00:13:29.510 ⇒ 00:13:30.170 Awaish Kumar: God.
173 00:13:30.830 ⇒ 00:13:36.060 Awaish Kumar: It was more, kind of… You can see…
174 00:13:36.490 ⇒ 00:13:44.200 Awaish Kumar: faster, more, like, talk. We didn’t have, like, so many team members, no PM.
175 00:13:44.310 ⇒ 00:13:50.330 Awaish Kumar: So it was more like, Robert Utam bringing in projects, and we are working on it, and…
176 00:13:51.890 ⇒ 00:13:54.250 Awaish Kumar: It’s always, like, thank you.
177 00:13:55.050 ⇒ 00:14:00.960 Awaish Kumar: And also, like, we had small-scale clients initially, so it’s more like…
178 00:14:02.320 ⇒ 00:14:07.340 Awaish Kumar: I mean, delivering work and, like, the requirements changing very frequently with the clients as well.
179 00:14:08.450 ⇒ 00:14:09.789 Awaish Kumar: And it’s more.
180 00:14:09.790 ⇒ 00:14:15.079 Garrett Gibson: Yeah, one of the things I think I’m gonna get involved in is, like, account management, you know, too, later on.
181 00:14:15.610 ⇒ 00:14:19.760 Garrett Gibson: So, like, how do we get new clients, and, you know, things like that.
182 00:14:19.760 ⇒ 00:14:20.760 Awaish Kumar: What do I mean?
183 00:14:21.230 ⇒ 00:14:27.220 Awaish Kumar: We also went from, like, Like, from smaller to now we are trying to get more…
184 00:14:27.400 ⇒ 00:14:30.790 Awaish Kumar: Mid-level or large-scale enterprise clients, right?
185 00:14:31.140 ⇒ 00:14:31.740 Garrett Gibson: Yeah.
186 00:14:31.900 ⇒ 00:14:32.770 Garrett Gibson: Exactly.
187 00:14:32.900 ⇒ 00:14:37.140 Awaish Kumar: And with that, like, Element… Element now, like, have… we have a much more…
188 00:14:39.790 ⇒ 00:14:44.250 Awaish Kumar: Planning in terms of what the contract looks like, what are the deliverables?
189 00:14:44.620 ⇒ 00:14:52.100 Awaish Kumar: A lot more time, a lot more money, and then you can obviously have more people on it, slow down.
190 00:14:52.290 ⇒ 00:14:52.800 Awaish Kumar: Yep.
191 00:14:52.800 ⇒ 00:14:56.660 Garrett Gibson: The agreement is, like, growing, which is a positive thing, yeah.
192 00:14:57.080 ⇒ 00:15:01.019 Awaish Kumar: Like, it’s kind of different than… so it’s someone, like, you work for…
193 00:15:01.210 ⇒ 00:15:07.530 Awaish Kumar: 5K, and then every week, the requirements are changing, and we are trying to keep up with it.
194 00:15:07.790 ⇒ 00:15:09.630 Garrett Gibson: Yeah, exactly.
195 00:15:11.190 ⇒ 00:15:21.639 Garrett Gibson: No, yeah, it’s good to, at least for me as a new person, you know, in the company, to be on a more, it seems like, established, you know, kind of client. Like, you guys have worked with them for a while, so…
196 00:15:21.970 ⇒ 00:15:27.460 Garrett Gibson: It helps me to get a good foundation to how you… how you guys operate, you know, with your…
197 00:15:28.160 ⇒ 00:15:32.230 Garrett Gibson: Yeah, the different cadences and workflows, you know, things like that.
198 00:15:34.740 ⇒ 00:15:40.290 Awaish Kumar: Yeah, it has been a… kind of a tough, but now it’s… It’s getting better.
199 00:15:40.650 ⇒ 00:15:41.180 Garrett Gibson: Yep.
200 00:15:44.030 ⇒ 00:15:51.610 Awaish Kumar: And, yeah, growing, and yeah, we have learned a lot on the way, obviously. A lot of opportunities to…
201 00:15:51.860 ⇒ 00:15:56.479 Awaish Kumar: learned few different things, and… so yeah, I’m enjoying it so far.
202 00:15:56.480 ⇒ 00:15:58.159 Garrett Gibson: That’s great.
203 00:15:58.350 ⇒ 00:16:07.760 Garrett Gibson: Yeah, I just, I was digging more into Omni, so, I did the certification, you know, so I passed that, actually. I got the email, which was cool.
204 00:16:08.460 ⇒ 00:16:11.749 Garrett Gibson: So just kind of, you know, digging into, like.
205 00:16:12.100 ⇒ 00:16:16.519 Garrett Gibson: the Omni platform and what it provides, you know, to the client, you know, things like that.
206 00:16:17.540 ⇒ 00:16:18.570 Awaish Kumar: Okay.
207 00:16:18.760 ⇒ 00:16:25.739 Garrett Gibson: Yeah, I connected my, nice snowflake CLI, you know, to cursor, and then…
208 00:16:26.370 ⇒ 00:16:27.010 Awaish Kumar: Nice.
209 00:16:27.010 ⇒ 00:16:31.320 Garrett Gibson: just started asking what kind of KPIs, you know, were…
210 00:16:32.040 ⇒ 00:16:38.730 Garrett Gibson: Producing, and then I got access to the, Omni dashboards, you know, as well, that Advait works on.
211 00:16:39.470 ⇒ 00:16:44.029 Garrett Gibson: They’re just, you know, exploring… Those, you know, as well, so…
212 00:16:46.230 ⇒ 00:16:47.700 Awaish Kumar: No, that’s beautiful.
213 00:16:47.700 ⇒ 00:16:48.230 Garrett Gibson: No.
214 00:16:49.290 ⇒ 00:16:57.210 Awaish Kumar: Omni, it’s, like, it’s a new tool, for everyone at… Renford.
215 00:16:59.520 ⇒ 00:17:05.009 Garrett Gibson: Yeah, so I think it’ll be good to, get more familiar with it. I think it should’ll take me a couple weeks, but…
216 00:17:05.329 ⇒ 00:17:12.170 Garrett Gibson: Yeah, it’ll just be good to have that learning, so then, you know, when I talk to the client, with the team.
217 00:17:14.430 ⇒ 00:17:18.880 Awaish Kumar: Yeah, like, it’s a pretty cool tool, right, in terms of
218 00:17:19.520 ⇒ 00:17:27.310 Awaish Kumar: As a BI tool, it has a lot more features, capabilities, advanced capabilities that no other tool… For now.
219 00:17:27.319 ⇒ 00:17:28.099 Garrett Gibson: Exactly.
220 00:17:30.579 ⇒ 00:17:31.319 Garrett Gibson: Cool.
221 00:17:32.159 ⇒ 00:17:39.559 Garrett Gibson: Awesome. Well, yeah, I think those are kind of the main things, you know, I’m digging into right now.
222 00:17:39.789 ⇒ 00:17:47.679 Garrett Gibson: I have some linear tickets and things like that that I’m, like, working on, you know, that Robert and Utam, you know, have kind of assigned to me.
223 00:17:48.299 ⇒ 00:17:51.669 Garrett Gibson: But I’m also just trying to create, like, a,
224 00:17:52.209 ⇒ 00:17:55.529 Garrett Gibson: Like, a backlog, you know, ticket list of just things that…
225 00:17:56.139 ⇒ 00:18:00.529 Garrett Gibson: you know, like, things that come up in Slack that I can, you know, just track.
226 00:18:00.669 ⇒ 00:18:02.359 Garrett Gibson: Stuff like that, so…
227 00:18:03.040 ⇒ 00:18:03.710 Awaish Kumar: Okay.
228 00:18:04.140 ⇒ 00:18:04.670 Garrett Gibson: Yeah.
229 00:18:05.400 ⇒ 00:18:06.290 Awaish Kumar: Okay, yeah.
230 00:18:06.290 ⇒ 00:18:11.260 Garrett Gibson: I think, I think we’re on the call together, right, a little later on this morning. We have the element…
231 00:18:11.560 ⇒ 00:18:13.039 Garrett Gibson: I think, stand-up call?
232 00:18:13.630 ⇒ 00:18:14.390 Awaish Kumar: Yeah.
233 00:18:14.770 ⇒ 00:18:15.940 Garrett Gibson: Yeah, so.
234 00:18:15.940 ⇒ 00:18:19.729 Awaish Kumar: It was added by Jasmine, but I don’t know why…
235 00:18:20.870 ⇒ 00:18:24.549 Garrett Gibson: Well, I think it’s good, I think we’re just doing it to kind of.
236 00:18:24.550 ⇒ 00:18:28.170 Awaish Kumar: That’s what we used to have.
237 00:18:28.390 ⇒ 00:18:35.070 Awaish Kumar: earlier, like… Stand-ups and all, and then we end up having… spending more time on meetings.
238 00:18:35.630 ⇒ 00:18:37.690 Awaish Kumar: Right. Then, working.
239 00:18:37.990 ⇒ 00:18:38.770 Awaish Kumar: True.
240 00:18:38.770 ⇒ 00:18:43.929 Garrett Gibson: Yeah, I mean, maybe not everyone has to be on that… that stand-up call.
241 00:18:43.930 ⇒ 00:18:45.650 Awaish Kumar: I would say for…
242 00:18:45.820 ⇒ 00:18:53.750 Garrett Gibson: Yeah, I would say for me personally, the really important one is the one I set up on Wednesday, which is, like, reviewing the weekly deck as a team.
243 00:18:54.420 ⇒ 00:19:04.450 Garrett Gibson: And the reason why that one is important, so that way, when we go into the meeting on Thursday, you know, with Shivani, we have everything kind of outlined with what we’re gonna go over, and…
244 00:19:04.870 ⇒ 00:19:20.889 Garrett Gibson: we don’t have any confusion as to the flow, you know, of the meeting, because also being a new person… Yeah, let me finish. Also, being a new person, I don’t want to, you know, get caught off guard, like, if I’m presenting, you know, to the client.
245 00:19:21.950 ⇒ 00:19:25.149 Awaish Kumar: Yeah, but it is for review, like…
246 00:19:25.520 ⇒ 00:19:30.129 Awaish Kumar: then it is okay, that, okay, for 15 minutes, we are going to meet and look at the DAC,
247 00:19:30.250 ⇒ 00:19:34.160 Awaish Kumar: That is already… ready, and we can… Yeah, that’s.
248 00:19:34.160 ⇒ 00:19:41.570 Garrett Gibson: the meeting is for, so I’ll come to that meeting with the deck prepared, and then you guys will, like, review it with me, and then say, oh yeah, this looks good.
249 00:19:42.070 ⇒ 00:19:45.850 Garrett Gibson: Or, you know, maybe I’ll make changes, you know, things like that.
250 00:19:46.120 ⇒ 00:19:49.539 Awaish Kumar: Yeah, maybe, like, you can even post it beforehand, everybody looks.
251 00:19:49.540 ⇒ 00:19:50.200 Garrett Gibson: Yeah.
252 00:19:50.200 ⇒ 00:19:51.279 Awaish Kumar: Yeah, maybe, like…
253 00:19:51.280 ⇒ 00:19:54.120 Garrett Gibson: Tuesday, I’ll post it, yeah, before him.
254 00:19:54.550 ⇒ 00:19:59.150 Awaish Kumar: Yeah, maybe, before, just before meeting, so that, for example, my…
255 00:19:59.270 ⇒ 00:20:04.760 Awaish Kumar: my work teams are engaged in modeling, and if I’m good, I can review those slides and say.
256 00:20:04.760 ⇒ 00:20:05.620 Garrett Gibson: Exactly, yeah.
257 00:20:05.620 ⇒ 00:20:11.200 Awaish Kumar: I have a feedback, I can come into the meeting, but if it looks good, I can just say it looks good, I don’t have to be in the.
258 00:20:11.200 ⇒ 00:20:22.330 Garrett Gibson: Exactly. Yeah, that’s the purpose of the meeting. It’s not just to, you know, talk, it’s to review the deck and make sure it’s, you know, everyone gives the kind of thumbs up, you know, before the Thursday call with Shivani, so…
259 00:20:24.410 ⇒ 00:20:24.960 Awaish Kumar: Okay.
260 00:20:26.000 ⇒ 00:20:30.759 Garrett Gibson: Okay, sounds good. Alright. Well, I wish it’s, nice to meet you.
261 00:20:31.200 ⇒ 00:20:34.300 Garrett Gibson: And, I guess we’ll sync up later on.
262 00:20:35.060 ⇒ 00:20:38.100 Awaish Kumar: Looking forward to, yeah, work with you on that.
263 00:20:38.390 ⇒ 00:20:40.199 Garrett Gibson: You as well.
264 00:20:40.400 ⇒ 00:20:42.909 Garrett Gibson: Thank you. Alright, I’ll talk to you later. Bye-bye.