Meeting Title: Welcome meeting Date: 2025-07-01 Meeting participants: Awaish Kumar, Abigail Zhao, Vishnu
WEBVTT
1 00:04:31.140 ⇒ 00:04:34.690 Vishnu: Hey? Good morning, Avesh, good morning.
2 00:04:37.590 ⇒ 00:04:38.910 Awaish Kumar: Hello! Hello!
3 00:04:39.860 ⇒ 00:04:41.050 Vishnu: Hi! Hi! Good morning!
4 00:04:42.790 ⇒ 00:04:53.830 Awaish Kumar: Welcome to brain foods. So like this is just some like welcome meeting to.
5 00:04:54.330 ⇒ 00:04:57.748 Awaish Kumar: To understand. Like to to welcome you on board, and
6 00:04:58.948 ⇒ 00:05:09.580 Awaish Kumar: make sure that you have got access to everything and then you just go over on some of the documentation we have on notion
7 00:05:10.860 ⇒ 00:05:16.380 Awaish Kumar: about the everything the company does is isn’t is maintained there.
8 00:05:16.490 ⇒ 00:05:19.949 Awaish Kumar: So always departments, updates, clients and everything.
9 00:05:20.797 ⇒ 00:05:26.580 Awaish Kumar: And I can maybe show you like where you can find it.
10 00:05:28.740 ⇒ 00:05:29.120 Vishnu: Okay.
11 00:05:29.860 ⇒ 00:05:35.440 Awaish Kumar: On the notion page, if you visit like, have you any of you visited this.
12 00:05:36.960 ⇒ 00:05:37.670 Awaish Kumar: Beach.
13 00:05:37.830 ⇒ 00:05:39.500 Abigail Zhao: Yeah, I’ve taken a look at it.
14 00:05:40.200 ⇒ 00:05:45.380 Awaish Kumar: Okay, so like, that’s the homepage. And from here you can go anywhere.
15 00:05:45.760 ⇒ 00:05:48.189 Awaish Kumar: You can learn more about company
16 00:05:48.800 ⇒ 00:05:54.430 Awaish Kumar: in terms of external mister of some clients, etcetera.
17 00:05:54.560 ⇒ 00:05:54.880 Vishnu: Okay.
18 00:05:57.410 ⇒ 00:06:02.830 Awaish Kumar: And yeah, that’s basically so far like
19 00:06:03.360 ⇒ 00:06:06.950 Awaish Kumar: today, you can get like, take your time to
20 00:06:07.380 ⇒ 00:06:12.749 Awaish Kumar: go over all of these things. And have you got access to github?
21 00:06:13.290 ⇒ 00:06:21.180 Awaish Kumar: - okay, so like, we have some of the repositories which you can look like.
22 00:06:22.065 ⇒ 00:06:26.915 Awaish Kumar: basically like it’s just getting to know the different
23 00:06:27.810 ⇒ 00:06:30.380 Awaish Kumar: like. You can, for example, like
24 00:06:30.590 ⇒ 00:06:34.450 Awaish Kumar: few few of the repositories which you can go and basically
25 00:06:35.168 ⇒ 00:06:46.830 Awaish Kumar: actually clone them and see, like what we are doing there. So it’s 1 of the repository which is which creates the data engineering pipelines.
26 00:06:47.190 ⇒ 00:06:58.460 Awaish Kumar: So most of the work we will be doing is mainly will be analytics and dashboarding, but like to give you a sense of a full end to end. Workflows like
27 00:06:59.101 ⇒ 00:07:08.150 Awaish Kumar: these pipelines are a part of that like we might have some tasks which, where you have to come into this app repository and work, and when build a pipeline
28 00:07:08.520 ⇒ 00:07:09.500 Awaish Kumar: all right.
29 00:07:09.680 ⇒ 00:07:10.220 Vishnu: Okay.
30 00:07:10.958 ⇒ 00:07:15.520 Awaish Kumar: Like. And we we do have few more
31 00:07:15.680 ⇒ 00:07:22.059 Awaish Kumar: here, which are basically some are our client repositories.
32 00:07:22.705 ⇒ 00:07:30.210 Awaish Kumar: Some are meant like for internal work, like maintained by different teams like AI team, is maintaining their platform stuff.
33 00:07:30.831 ⇒ 00:07:39.670 Awaish Kumar: And we, the the data main team, is is maintaining their stuff. So kind of the front
34 00:07:40.300 ⇒ 00:07:48.140 Awaish Kumar: repository. But yeah, like you can go in, for example, like I can. I recommended this one the extra pipelines, and then.
35 00:07:51.510 ⇒ 00:07:56.340 Awaish Kumar: okay, if we see home and commercial, this is one of the client.
36 00:07:56.980 ⇒ 00:07:58.190 Vishnu: Okay.
37 00:07:59.430 ⇒ 00:08:03.839 Awaish Kumar: So it it it it like will have mostly the
38 00:08:06.071 ⇒ 00:08:14.910 Awaish Kumar: Dbt models, so like the the kind of like we will, what we will be doing is mainly creating the Dbt models
39 00:08:15.070 ⇒ 00:08:16.380 Awaish Kumar: and then.
40 00:08:16.998 ⇒ 00:08:23.099 Awaish Kumar: maybe create it on using the snowflake as the back end. Or maybe we can use
41 00:08:23.260 ⇒ 00:08:31.639 Awaish Kumar: some other database. And then we basically connect that with some bi tool.
42 00:08:31.800 ⇒ 00:08:35.133 Awaish Kumar: And then we’ll build the dashboards. And
43 00:08:37.190 ⇒ 00:08:43.680 Awaish Kumar: so basically, just, I I just want to like these, the the repository you are seeing here only, like one of
44 00:08:43.929 ⇒ 00:09:00.374 Awaish Kumar: the Dexter pipeline is the one which you might be working in. Otherwise we will create our own repository for for the work we will be doing. And this is just the template to understand how we work, how we structure our repositories, how we create DVD models, and
45 00:09:00.890 ⇒ 00:09:05.930 Awaish Kumar: how we run it like using Github actions or and
46 00:09:06.210 ⇒ 00:09:10.556 Awaish Kumar: get a sense of like, how we do coding.
47 00:09:11.640 ⇒ 00:09:20.060 Awaish Kumar: And also, yeah, read notion, dog, if you have any questions, if you have any, even if you have any feedback
48 00:09:20.180 ⇒ 00:09:24.050 Awaish Kumar: to improve, like like in on the on the documentation side.
49 00:09:24.430 ⇒ 00:09:28.200 Awaish Kumar: Like they, they, we cannot see we are as an internal
50 00:09:28.887 ⇒ 00:09:47.640 Awaish Kumar: members. We just create those documentation. But as a newcomer like, do you find some like useful information? Or it’s just confusing for you, like whatever the feedback is just like, let us know. We we like that that can could be one of the thing like we can improve
51 00:09:47.930 ⇒ 00:09:48.700 Awaish Kumar: and
52 00:09:50.260 ⇒ 00:09:57.680 Awaish Kumar: And the 3rd thing is about probably like
53 00:09:59.177 ⇒ 00:10:04.569 Awaish Kumar: getting to know with this Dbt itself like, have any of you worked with the Dbt. Before.
54 00:10:08.080 ⇒ 00:10:10.009 Vishnu: I have used Cpt before.
55 00:10:10.570 ⇒ 00:10:16.840 Awaish Kumar: Okay. So it’s like you have on what scale we are created on projects, production scale.
56 00:10:16.840 ⇒ 00:10:25.220 Vishnu: Yeah, it was just for a a part of like a classroom, a classroom coursework. And then we built a project of it so small for class.
57 00:10:26.480 ⇒ 00:10:28.385 Awaish Kumar: Okay? Yeah.
58 00:10:30.010 ⇒ 00:10:33.329 Awaish Kumar: And like as a backend, what you were using today.
59 00:10:37.708 ⇒ 00:10:41.930 Vishnu: I’m not sure I I can. Yeah, I’ll have to like, just go back. Look at it.
60 00:10:41.930 ⇒ 00:10:44.520 Awaish Kumar: I don’t know what it’s like. We we don’t need it.
61 00:10:45.388 ⇒ 00:10:56.419 Awaish Kumar: I was just wanted to. Understand, because, like, we will be using snowflake if you already use it. That would be nice. But yeah, no worries. We we will learn along.
62 00:10:57.960 ⇒ 00:11:06.989 Awaish Kumar: so yeah, like, dbt, mostly it’s it’s as well. It’s about writing queries nothing like out of the
63 00:11:08.530 ⇒ 00:11:24.330 Awaish Kumar: like. Nothing like I can say tricky, but like it’s out of the box. Obviously it it provides some of its features. Which are great, and we will be using it. But yeah, there’s let some concepts you can go in, go to the
64 00:11:24.956 ⇒ 00:11:36.480 Awaish Kumar: Dvd website, and you can read their documentation and just understand what what it is. And and if you have any questions. Let us know.
65 00:11:38.540 ⇒ 00:11:42.203 Awaish Kumar: I’m I’m preparing to like set up meetings with different
66 00:11:43.165 ⇒ 00:11:49.809 Awaish Kumar: team members and stakeholders, so we will will be working on 2 different work streams here.
67 00:11:50.262 ⇒ 00:11:54.920 Awaish Kumar: So we will see how we are going to divide. Maybe we divide one
68 00:11:55.120 ⇒ 00:11:57.336 Awaish Kumar: like between you both like
69 00:11:57.970 ⇒ 00:12:01.750 Awaish Kumar: 1 1 work stream, or we maybe work on mixed
70 00:12:02.315 ⇒ 00:12:12.610 Awaish Kumar: project as a team, like working on 2 different projects as a team like we will overlap between projects. So we’ll see how what approach would be good. Because.
71 00:12:14.947 ⇒ 00:12:18.290 Awaish Kumar: yeah, like, we, we will see that. And
72 00:12:19.221 ⇒ 00:12:29.019 Awaish Kumar: I will be like one of our team members will be arranging the meetings between the view and the stakeholders so stay like
73 00:12:29.310 ⇒ 00:12:39.960 Awaish Kumar: like 2 different projects, into different work stream like 2 different departments kind of, and each has different stakeholders. I as a
74 00:12:40.742 ⇒ 00:12:45.577 Awaish Kumar: kind of I will be mostly here for kind of premium role.
75 00:12:46.634 ⇒ 00:12:55.835 Awaish Kumar: like driving the project along and and since, like making sure that we are doing some progress.
76 00:12:56.590 ⇒ 00:13:02.970 Awaish Kumar: but it is at the end like I I will be helping you in tickets, getting the descriptions of
77 00:13:03.460 ⇒ 00:13:22.259 Awaish Kumar: like collecting some requirements. But it’s not like 100%. What I will be doing like, I may not have I may not create tickets with 100% requirements. So they still be confusing. There might be stuff
78 00:13:22.520 ⇒ 00:13:27.050 Awaish Kumar: so like what it’s going to be, a kind of a real
79 00:13:27.570 ⇒ 00:13:36.169 Awaish Kumar: kind of a client, like a good internal work. But we will run it as a client project, because that’s what
80 00:13:36.760 ⇒ 00:13:53.089 Awaish Kumar: we want you to be trained in. So basically, you can work independently. You can get the requirements from your stakeholders, and you can then take actions on it. So basically, our stakeholders are still the part of Brainforge. But you will just
81 00:13:53.590 ⇒ 00:14:19.039 Awaish Kumar: keep them as your clients, and then you will go to them. Understand the requirements. Although I will be helping with that, like maybe creating tickets and getting the requirements from them. But the as I mentioned. If there are more questions, more things you would go to them. Ask them get full contact, get more requirements, complete the task like it. It will be a complete, your responsibility
82 00:14:19.160 ⇒ 00:14:23.340 Awaish Kumar: to build that relationship with your client.
83 00:14:24.004 ⇒ 00:14:35.029 Awaish Kumar: with with the stakeholder of those projects so like like like you. You have to directly. Make a connections with them and
84 00:14:38.628 ⇒ 00:14:52.191 Awaish Kumar: off like. So we’ll get the requirements from them. We’ll create our tickets, we will run it, run it as sprints. If you don’t know this print, maybe then it’s kind of
85 00:14:52.920 ⇒ 00:15:00.000 Awaish Kumar: one of the way to run the projects so we will like
86 00:15:01.310 ⇒ 00:15:11.020 Awaish Kumar: it’s part of a agile methodology where you like. We run our projects based on one week or 2 week sprints where we
87 00:15:11.250 ⇒ 00:15:13.929 Awaish Kumar: get the task we want to do.
88 00:15:14.500 ⇒ 00:15:21.959 Awaish Kumar: In in a 2 weeks time, and then at the end of this spring we we? We are going to see like.
89 00:15:22.080 ⇒ 00:15:37.150 Awaish Kumar: how does we achieved our targets or not? And and why not? And and we drive the projects that way. But here we will keep it one week sprints, because we’ll be working on like
90 00:15:37.781 ⇒ 00:15:41.230 Awaish Kumar: kind of short project and
91 00:15:42.400 ⇒ 00:15:52.749 Awaish Kumar: and to run it like even faster. We will keep it as one week, so we’ll every week we will plan our week. So what things we are going to work in this week.
92 00:15:52.970 ⇒ 00:15:54.370 Awaish Kumar: and like
93 00:15:56.023 ⇒ 00:16:04.430 Awaish Kumar: what it like, what? What will be the thing, and how long they will take, and everything will be like in our planning meeting. We’ll decide
94 00:16:04.700 ⇒ 00:16:12.779 Awaish Kumar: our full week workload, and then at at the end of the week, we are going to see like, if we are achieving our targets.
95 00:16:13.252 ⇒ 00:16:22.900 Awaish Kumar: On what have we have? We have decided? And if not, like, what were the blockers? Or we have, we did some wrong estimation, or whatever the reasons are.
96 00:16:23.030 ⇒ 00:16:25.540 Awaish Kumar: And then we learn from that and move along.
97 00:16:25.640 ⇒ 00:16:27.680 Awaish Kumar: So yeah, so yeah.
98 00:16:28.020 ⇒ 00:16:51.960 Awaish Kumar: just to summarize it. So just go over with the dB documentation github notion documentation. Give us your feedback and the questions I’m like, as I mentioned, I one of our team members will be arranging your meetings with the stakeholders. Yeah, okay. One thing I forgot to add, is like mentors kind of thing. So
99 00:16:52.090 ⇒ 00:16:55.360 Awaish Kumar: we will have stakeholders which are basically
100 00:16:55.799 ⇒ 00:17:06.020 Awaish Kumar: giving you the requirement and like, and you will be reporting. You will be showing kind of presentations to them on your update, like every week like. If you are.
101 00:17:06.833 ⇒ 00:17:18.810 Awaish Kumar: you don’t have to just submit the tickets like at the end of the week. We are going to have a presentation kind of thing like where you we are going to share to our client.
102 00:17:19.109 ⇒ 00:17:20.920 Awaish Kumar: That’s normally we will do
103 00:17:21.040 ⇒ 00:17:29.609 Awaish Kumar: what we do here so like, and that will. That’s what you will be doing. You will share your updates with your client like. That’s what we have done.
104 00:17:30.272 ⇒ 00:17:33.649 Awaish Kumar: We have achieved in this and this, and
105 00:17:33.800 ⇒ 00:17:39.327 Awaish Kumar: whatever the demo there. Whatever we have built and
106 00:17:40.981 ⇒ 00:17:44.950 Awaish Kumar: I believe, kind of doing the pming role most.
107 00:17:45.070 ⇒ 00:17:47.300 Awaish Kumar: although, yeah, you can ask me
108 00:17:48.205 ⇒ 00:17:57.149 Awaish Kumar: questions, clarifications. And like, I’m I’m very technical. So you can ask we we can. I can be there. But yeah.
109 00:17:57.290 ⇒ 00:18:13.210 Awaish Kumar: most of the time. I will be just driving the project, and then for I like we will be assigning 2 different people from our team. As your mentors. So we have. I think.
110 00:18:13.906 ⇒ 00:18:22.300 Awaish Kumar: Damn Ade, he’s a senior analytics engineer like that will be your
111 00:18:22.450 ⇒ 00:18:41.639 Awaish Kumar: mentor Vishnu. And then we have Annie. She is on vacation right now, but she will be back in in few days she will be your mentor, Abigail, and she’s a kind of she knows
112 00:18:41.840 ⇒ 00:18:47.909 Awaish Kumar: writing SQL and stuff. And but she’s more like data analyst senior data analyst.
113 00:18:48.730 ⇒ 00:18:56.239 Awaish Kumar: So yeah, we can. If we are working on separate projects. Then we can
114 00:18:57.980 ⇒ 00:19:05.610 Awaish Kumar: like, you can take their help in basically. And and if you think wherever there are blockers or
115 00:19:06.547 ⇒ 00:19:08.250 Awaish Kumar: like as a
116 00:19:08.912 ⇒ 00:19:28.789 Awaish Kumar: like like executing the tasks you have, are you? If you are stuck somewhere like like, you can’t find your way where. Like what to do. These are the people who we assign as your mentors. You go to them can like.
117 00:19:29.140 ⇒ 00:19:55.629 Awaish Kumar: It’s your. It’s also your responsibility to build a connection with them and get get their help right? So like although we have asked them to be your mentor but still, like like, you have to be proactive in asking help, and like convincing them to help you and then, like you, I know
118 00:19:56.130 ⇒ 00:20:01.569 Awaish Kumar: I don’t think anyone will say no like they are going, they will going to help you so.
119 00:20:02.150 ⇒ 00:20:18.840 Awaish Kumar: but not like as an implementation partner. They will not be doing any development for you. It’s it will be like guiding still be guiding process like so they will show you the path. Maybe some documentation, maybe some video tutorials links
120 00:20:19.382 ⇒ 00:20:26.480 Awaish Kumar: maybe share some room they gave themselves and share it with you to to solve. Like, let you know, like how to
121 00:20:26.630 ⇒ 00:20:31.809 Awaish Kumar: investigate it, or how to implement it, or things like that. So
122 00:20:33.260 ⇒ 00:20:38.840 Awaish Kumar: yeah, in like that, that’s all what we we will be doing in this entire
123 00:20:39.350 ⇒ 00:20:47.170 Awaish Kumar: journey, and we will at the end of the cycle. We are going to get feedback from
124 00:20:47.490 ⇒ 00:20:54.980 Awaish Kumar: everyone who who basically in any capacity, has worked with you like has
125 00:20:55.210 ⇒ 00:21:03.460 Awaish Kumar: me as a Pm. Or our reporting manager, or the mentors, or the stakeholders. They are
126 00:21:03.570 ⇒ 00:21:09.319 Awaish Kumar: all going to give you feedback on like how you did like
127 00:21:09.550 ⇒ 00:21:18.199 Awaish Kumar: in an internship, or like if we achieved our targets, we finished our projects, or whatever it is.
128 00:21:20.970 ⇒ 00:21:23.349 Awaish Kumar: so, any questions, so far.
129 00:21:26.500 ⇒ 00:21:28.420 Vishnu: Oh, nothing from my side!
130 00:21:29.400 ⇒ 00:21:29.950 Abigail Zhao: Yeah.
131 00:21:30.503 ⇒ 00:21:39.599 Abigail Zhao: I just wanted to ask cause I noticed we logged into clock. If I do, you also want us to like log our hours. Like starting today or starting
132 00:21:41.095 ⇒ 00:21:41.920 Abigail Zhao: when.
133 00:21:43.748 ⇒ 00:21:45.461 Awaish Kumar: Yes, like you can.
134 00:21:46.730 ⇒ 00:21:52.572 Awaish Kumar: you can start in today. You can see like you can log like, basically
135 00:21:54.200 ⇒ 00:21:59.440 Awaish Kumar: whatever you’re doing, like. You spend some time in meetings. You spend some time
136 00:22:00.150 ⇒ 00:22:02.790 Awaish Kumar: reading. DVD, you spend some time?
137 00:22:04.169 ⇒ 00:22:11.369 Awaish Kumar: reading documentation, and whatever and then, whenever when we have a real work, you can. We are going to
138 00:22:11.750 ⇒ 00:22:18.849 Awaish Kumar: like log like. So this task, like, I spend Xyz time of this one.
139 00:22:18.850 ⇒ 00:22:19.360 Abigail Zhao: Okay.
140 00:22:22.600 ⇒ 00:22:24.249 Abigail Zhao: Okay. Sounds. Good. Thanks.
141 00:22:24.250 ⇒ 00:22:26.969 Awaish Kumar: And mostly we like, we use this tool
142 00:22:27.960 ⇒ 00:22:35.769 Awaish Kumar: in like in the company. So everybody logs. It’s mainly we do it for kind of
143 00:22:39.140 ⇒ 00:22:44.469 Awaish Kumar: like we for our clients like we, we need to track like how much we’re spending on our clients. But
144 00:22:44.600 ⇒ 00:22:47.800 Awaish Kumar: for you. It will be like, still be internal
145 00:22:48.365 ⇒ 00:22:52.420 Awaish Kumar: company work. But yeah, inside of that. Yes, we’ll be
146 00:22:54.320 ⇒ 00:22:54.870 Awaish Kumar: Shh!
147 00:22:55.170 ⇒ 00:23:00.610 Awaish Kumar: Showing like what project and what kind of ticket you spend your time on.
148 00:23:02.290 ⇒ 00:23:02.940 Abigail Zhao: Okay.
149 00:23:04.740 ⇒ 00:23:18.169 Vishnu: Okay? Yeah, I have a question along the same thing. So from what time, like, what time do we stay available like, do we have to stay on call, let’s say, for 6 h at a stretch or
150 00:23:18.751 ⇒ 00:23:22.180 Vishnu: between a certain time slot. How does that work.
151 00:23:23.140 ⇒ 00:23:34.850 Awaish Kumar: So like we basically as a as a company, benefits don’t have any fixed rule on deciding the timing for anyone but.
152 00:23:34.850 ⇒ 00:23:35.280 Vishnu: Isn’t.
153 00:23:35.582 ⇒ 00:23:38.609 Awaish Kumar: To run the business like we we know, like there
154 00:23:39.301 ⇒ 00:23:51.439 Awaish Kumar: like everybody is available in early est hours. Eastern time zone, because every all of our clients are in Eastern time zone and our everybody’s works in Eastern time zone.
155 00:23:51.700 ⇒ 00:23:54.610 Awaish Kumar: The my leadership is in Eastern time zone.
156 00:23:55.418 ⇒ 00:24:04.625 Awaish Kumar: So we have meetings with them. We have meetings with clients. So basically, we are available in that time. Like, if you are, for example,
157 00:24:05.680 ⇒ 00:24:06.630 Awaish Kumar: what
158 00:24:06.760 ⇒ 00:24:15.969 Awaish Kumar: on some other, like some of the time when nobody’s available. And you ping someone like you’re not going to get a reply until next day. So
159 00:24:16.870 ⇒ 00:24:27.889 Awaish Kumar: it’s just it will just delay what what you’re doing like. If you ask me, for example, after 5 Pm. Eastern time, like, I will not be there to reply, right
160 00:24:28.985 ⇒ 00:24:29.810 Awaish Kumar: so
161 00:24:31.265 ⇒ 00:24:41.489 Awaish Kumar: like. And that way like we, it just gets delayed. If, like every day, you are going to only be available after everybody else logs out. So that’s
162 00:24:42.287 ⇒ 00:24:49.039 Awaish Kumar: just you have to figure out the balance right? So you have me. You will have some meetings so like
163 00:24:49.140 ⇒ 00:24:55.069 Awaish Kumar: like we would like you to be there. So like, for example, if you have your meeting with your mentor and
164 00:24:55.690 ⇒ 00:25:02.430 Awaish Kumar: you. So you have to pay for for those meetings. But you can work in any
165 00:25:02.740 ⇒ 00:25:05.539 Awaish Kumar: like at any time, like we don’t have a strict
166 00:25:07.071 ⇒ 00:25:11.419 Awaish Kumar: like the requirements. But yeah, like.
167 00:25:12.164 ⇒ 00:25:23.071 Awaish Kumar: it’s still like as I mentioned, like we, we are all available mostly because, I’m in Pakistan right now. Some of our
168 00:25:24.880 ⇒ 00:25:40.280 Awaish Kumar: team members are in Europe. And some of our team members are in us. So like Eastern time zone and the mostly the early hours of Eastern time zone is what we all
169 00:25:40.410 ⇒ 00:25:45.059 Awaish Kumar: are available, and after, like 2 Pm. Or
170 00:25:45.570 ⇒ 00:25:52.048 Awaish Kumar: one Pm. 2 pm. Eastern time zone, like people starts to log out log off like
171 00:25:52.700 ⇒ 00:26:14.950 Awaish Kumar: so you can like kind of do the same. Maybe right? Be available in the meetings be available, you know, if you have any questions or blockers, or do you want to ask something from stakeholders? You have to take your time out for those things? When everybody else is available. But after that, you know, like I have got this ticket, I have to spend 5 h on this.
172 00:26:15.020 ⇒ 00:26:26.520 Awaish Kumar: and you wanna do it on in the night, in the night. Right? So you can do that like we I mean, like, whenever, because we know, like we have assigned your ticket. I will ask. Let’s say, how it went.
173 00:26:26.790 ⇒ 00:26:30.620 Awaish Kumar: So basically, by that time you have done something. So it’s okay.
174 00:26:32.660 ⇒ 00:26:34.470 Vishnu: Got it. Okay, yeah. Makes sense.
175 00:26:34.670 ⇒ 00:26:35.480 Vishnu: Thank you.
176 00:26:40.602 ⇒ 00:26:44.699 Awaish Kumar: Yeah, that’s mostly it for this meeting.
177 00:26:45.522 ⇒ 00:26:49.660 Awaish Kumar: I hope Rico feel like
178 00:26:50.950 ⇒ 00:27:02.140 Awaish Kumar: going to get all those meetings scheduled soon, and in the meantime, I have to prepare some
179 00:27:03.053 ⇒ 00:27:10.260 Awaish Kumar: roadmap for the for this program, and I will do that today.
180 00:27:10.751 ⇒ 00:27:16.209 Awaish Kumar: So that’s why I would like you today to spend your time on on these things
181 00:27:18.075 ⇒ 00:27:25.304 Awaish Kumar: to understand. Dbt, you know. Notion, Doc. And on the all these stuff understanding
182 00:27:25.870 ⇒ 00:27:28.869 Awaish Kumar: how the how we are doing in the work.
183 00:27:29.290 ⇒ 00:27:38.430 Awaish Kumar: And maybe tomorrow, we are like going to get into the more details of the projects itself.
184 00:27:39.490 ⇒ 00:27:47.430 Awaish Kumar: And I will also make sure that you go and get access to some of the
185 00:27:48.316 ⇒ 00:27:53.840 Awaish Kumar: tools which we which we are going to use. So DVD is open source. We don’t need anything for that.
186 00:27:55.610 ⇒ 00:28:00.850 Awaish Kumar: Will be just like installing it and running it and then
187 00:28:00.980 ⇒ 00:28:05.049 Awaish Kumar: we’ll be using rail rel is a bi tool.
188 00:28:07.790 ⇒ 00:28:12.820 Awaish Kumar: So yeah, you can also look at that, how it works and how you basically
189 00:28:14.380 ⇒ 00:28:18.970 Awaish Kumar: create dashboards and real real data. It’s called
190 00:28:19.604 ⇒ 00:28:26.730 Awaish Kumar: so mostly, dbt, is central data. We will be working on and then,
191 00:28:28.650 ⇒ 00:28:36.465 Awaish Kumar: yeah, we’ll be using snowflake. And maybe
192 00:28:37.460 ⇒ 00:28:44.370 Awaish Kumar: like s, 3 for to get some data from storage. So yeah, I will make sure to get you all the access
193 00:28:44.480 ⇒ 00:28:45.870 Awaish Kumar: for these tools.
194 00:28:45.990 ⇒ 00:28:48.970 Awaish Kumar: In the meantime. Meantime, just read the
195 00:28:49.130 ⇒ 00:28:52.519 Awaish Kumar: documentation, what what these tools are and how they work.
196 00:28:53.461 ⇒ 00:28:57.380 Awaish Kumar: So, yeah, that’s all for me for for this meeting.
197 00:28:58.580 ⇒ 00:29:06.289 Awaish Kumar: Yeah, if you have any questions you can ask me within the channel, or directly via.
198 00:29:09.040 ⇒ 00:29:09.520 Vishnu: Okay.
199 00:29:11.560 ⇒ 00:29:13.350 Awaish Kumar: Okay. Thank you.
200 00:29:13.880 ⇒ 00:29:15.130 Abigail Zhao: Right. I don’t know.
201 00:29:15.860 ⇒ 00:29:16.680 Awaish Kumar: Right.
202 00:29:16.680 ⇒ 00:29:18.039 Abigail Zhao: Okay, thank you. Bye, bye.
203 00:29:18.040 ⇒ 00:29:18.460 Vishnu: A good one.