Meeting Title: DE-AE Standup Date: 2025-12-16 Meeting participants: Awaish Kumar, Gabriel Lam, Elizah Joy, Ashwini Sharma, Rico Rejoso, Mustafa Raja, Demilade Agboola


WEBVTT

1 00:03:12.850 00:03:13.690 Awaish Kumar: Lowe.

2 00:03:16.230 00:03:17.400 Gabriel Lam: Hello.

3 00:03:17.820 00:03:18.709 Awaish Kumar: How are you doing?

4 00:03:19.080 00:03:26.880 Gabriel Lam: I’m doing well. Pretty tired. I think I’m a little sick, actually, but I can… I think I can make it through the day. How about you?

5 00:03:27.640 00:03:28.930 Awaish Kumar: How many work as well.

6 00:03:29.380 00:03:29.950 Gabriel Lam: Yeah.

7 00:03:38.450 00:03:40.530 Awaish Kumar: Yeah, Gab, I don’t know if,

8 00:03:41.230 00:03:46.260 Awaish Kumar: AI team already started their separate standoffs.

9 00:03:47.940 00:03:57.350 Gabriel Lam: Yeah, it seems like they might have, I’ll maybe stick around for 5-10 minutes. If the others come on, then I’ll stay on. If not, I’ll just leave.

10 00:03:57.740 00:03:58.850 Awaish Kumar: Okay.

11 00:05:34.520 00:05:41.430 Gabriel Lam: Yeah, I think I’ll just be in the other stand-up then, and I think I see Utam will be late, but, yeah. I’ll see you guys later, bye-bye.

12 00:05:43.070 00:05:43.770 Awaish Kumar: Okay.

13 00:05:46.240 00:05:49.479 Awaish Kumar: Yeah, I don’t know if Demi’s joining, like, Reiko, how do you…

14 00:05:49.810 00:05:56.400 Awaish Kumar: Like, is there any way to see in operating that… The people who are… Out of office?

15 00:05:58.160 00:06:01.369 Rico Rejoso: Yeah, it should be in operating, I update it every week.

16 00:06:02.690 00:06:06.370 Awaish Kumar: No, I mean, like, do I have to go into individual person

17 00:06:06.520 00:06:13.280 Awaish Kumar: And check availability, or is there any centralized view, like, for this day, on this day, like, who is off?

18 00:06:15.580 00:06:21.330 Rico Rejoso: Well, we usually just put it on, on the time of, slot and operating.

19 00:06:22.040 00:06:23.350 Rico Rejoso: For everyone’s view.

20 00:06:28.900 00:06:34.050 Awaish Kumar: trying to say is this, like, I’m an operating… If I want to see…

21 00:06:34.050 00:06:35.680 Rico Rejoso: If you go to timeline.

22 00:06:36.240 00:06:36.890 Awaish Kumar: Okay.

23 00:06:38.980 00:06:41.180 Rico Rejoso: And on the time off.

24 00:06:43.030 00:06:44.160 Awaish Kumar: Is it a project?

25 00:06:45.050 00:06:46.620 Rico Rejoso: Yep, time off project.

26 00:06:46.620 00:06:47.650 Awaish Kumar: project, okay.

27 00:06:49.260 00:06:52.050 Rico Rejoso: And should have everyone that are out of office.

28 00:06:52.550 00:06:53.980 Rico Rejoso: Just Cassie for now.

29 00:06:57.210 00:06:57.960 Awaish Kumar: Okay.

30 00:07:10.380 00:07:12.019 Awaish Kumar: Our cases off today.

31 00:07:15.420 00:07:22.930 Rico Rejoso: Yeah, I guess the other AI team, AA team were also scheduled for a later stand-up.

32 00:07:23.380 00:07:24.280 Mustafa Raja: Yeah, I’m here.

33 00:07:24.830 00:07:28.000 Awaish Kumar: Okay, yeah, we can dive in.

34 00:07:31.850 00:07:34.829 Mustafa Raja: I guess I can ping Sam if you need him, yeah.

35 00:07:36.620 00:07:43.569 Awaish Kumar: Yeah, like, you don’t need to be here if you’re… if you are not working on any DE task, but if you…

36 00:07:43.960 00:07:55.039 Awaish Kumar: get any data engineering tasks to work on any client, then you can join this, and, like, you can discuss. Otherwise, you’re free to, like, join only the AI team of stand-ups.

37 00:07:55.880 00:07:56.600 Mustafa Raja: Okay.

38 00:07:59.950 00:08:03.260 Awaish Kumar: Yeah, so we can start.

39 00:08:04.530 00:08:11.419 Awaish Kumar: I’ll start with Hira, so… I have, like, cleaned up this pool a little bit.

40 00:08:11.700 00:08:20.539 Awaish Kumar: We have started a new contract with them on an hourly basis, and I’m… I’ve got a few tickets to work on.

41 00:08:20.910 00:08:23.940 Awaish Kumar: So I will start today and share some updates.

42 00:08:24.140 00:08:26.310 Awaish Kumar: Sandra has been waiting on it.

43 00:08:27.790 00:08:33.850 Awaish Kumar: So for this week, like, I’m targeting maybe to finish, like, 3-4 tickets out of these.

44 00:08:36.409 00:08:49.979 Awaish Kumar: And then… for, like… element… Yeah, we have been working on some documentation, So far, the…

45 00:08:50.120 00:08:56.620 Awaish Kumar: We have to… we do have a few meetings today with the client on… Like, to diff…

46 00:08:57.870 00:09:07.879 Awaish Kumar: just meet with… with different people and different teams in the company, and… and have some discovery calls. So as part of that, we will be meeting some…

47 00:09:08.220 00:09:19.679 Awaish Kumar: Partnerships people today, and apart from that, we have been working on documentation for, like, creating, basically, assessment documentations

48 00:09:19.850 00:09:24.820 Awaish Kumar: For figuring out which tools we should use, between, like.

49 00:09:25.080 00:09:30.850 Awaish Kumar: In ATL, for example, ATL tools, or in terms of warehouses.

50 00:09:31.050 00:09:35.140 Awaish Kumar: For this month, like, we are only targeting these two to finalize.

51 00:09:35.390 00:09:41.480 Awaish Kumar: And then maybe we’ll start with, modeling and stuff, ingestion and modeling, and then next…

52 00:09:42.150 00:09:45.790 Awaish Kumar: month, maybe we can start discussing on PI kind of stuff.

53 00:09:46.360 00:09:52.509 Awaish Kumar: Then I started creating, like, data platform documentation for this, so…

54 00:09:53.400 00:09:58.050 Awaish Kumar: We have this metric dictionary added there, and, like,

55 00:09:59.010 00:10:03.920 Awaish Kumar: So, yeah, it is already reviewed by… like, Demilare Utam.

56 00:10:05.180 00:10:14.830 Awaish Kumar: And, yeah, I’ve asked, like, Greg from analyst team to also review it, so we should have, like, some standard format, so we can just reuse it.

57 00:10:15.190 00:10:17.389 Awaish Kumar: For… for other clients.

58 00:10:18.710 00:10:25.719 Awaish Kumar: Yeah, that’s it for… element, I will do some progress on this today as well.

59 00:10:26.180 00:10:30.259 Awaish Kumar: Apart from that, we have CDA, so yeah.

60 00:10:30.380 00:10:33.569 Awaish Kumar: Ashuni, I would love to discuss what you have been…

61 00:10:33.590 00:10:35.309 Ashwini Sharma: working on for CTA.

62 00:10:35.830 00:10:41.250 Ashwini Sharma: Yeah, for CTA, I’m working on that automation of an active member report.

63 00:10:42.470 00:10:51.649 Ashwini Sharma: But today, I haven’t done anything on that. Today, the entire day went in fixing that particular bug for Catalyst thing.

64 00:10:51.880 00:10:56.319 Ashwini Sharma: Where it was not creating new columns through Daxter Pipeline.

65 00:10:56.700 00:11:03.159 Ashwini Sharma: But yeah, fortunately, I’ve been able to fix that, and now it is adding data to the push table.

66 00:11:03.670 00:11:06.399 Ashwini Sharma: And I’m working back on CTA thing.

67 00:11:06.800 00:11:15.639 Ashwini Sharma: I want to get out that report automation first, before I continue my work on, this one, Snowflake, workspace thing.

68 00:11:15.800 00:11:21.010 Ashwini Sharma: On the Snowflake… so I’ve made progress on the Snowflake workspace also, right?

69 00:11:21.340 00:11:26.510 Awaish Kumar: Yeah, but this has been sitting here for so long, I would just change the priority, so I can just close it out.

70 00:11:26.520 00:11:27.500 Ashwini Sharma: Okay.

71 00:11:28.920 00:11:31.130 Awaish Kumar: Yeah, then you can work on Snowflake.

72 00:11:31.340 00:11:37.629 Ashwini Sharma: Right, okay. Yeah, there is no story pointing in the CTA.

73 00:11:37.630 00:11:40.890 Awaish Kumar: Yeah, I will… I will just add it.

74 00:11:49.130 00:11:50.790 Awaish Kumar: It should be there now.

75 00:11:50.790 00:11:52.749 Ashwini Sharma: Okay. Cool. Alright.

76 00:11:53.860 00:11:58.400 Awaish Kumar: Yeah. What do you need to sign here? How many hours do you have been working on this?

77 00:11:58.400 00:12:05.069 Ashwini Sharma: It will take 7 points, and I’ve been working more than that, but yeah, there is no way to…

78 00:12:05.560 00:12:06.270 Awaish Kumar: Great.

79 00:12:06.270 00:12:06.765 Ashwini Sharma: Oh…

80 00:12:07.650 00:12:13.650 Awaish Kumar: Yeah, if something is that big or something like that, maybe we can split it out in different…

81 00:12:13.970 00:12:18.890 Awaish Kumar: Ticket, so we know at least, like, what chunk has been finished, and where we are.

82 00:12:18.890 00:12:20.370 Ashwini Sharma: Yep.

83 00:12:21.320 00:12:22.520 Awaish Kumar: Yeah, for this…

84 00:12:23.680 00:12:29.329 Ashwini Sharma: For this, so there are, like, two aspects to this thing, right? One is…

85 00:12:29.440 00:12:34.769 Ashwini Sharma: Simply running the dbt from Snowflake workspace, which is working. I’ve tested it, right?

86 00:12:34.880 00:12:38.440 Ashwini Sharma: The other thing is, like, when somebody pushes a PR, right.

87 00:12:38.660 00:12:45.269 Ashwini Sharma: How do we invoke that from, from where the PR is merged into Snowflake?

88 00:12:45.270 00:12:52.890 Awaish Kumar: There are, like, a few things, right? So, not just, like, run dbt from, sort of, like, workspaces, it’s…

89 00:12:52.890 00:12:54.930 Ashwini Sharma: CICD, yeah, CICD for…

90 00:12:54.930 00:12:59.720 Awaish Kumar: three things. Number one is just setting up dbt project.

91 00:13:08.540 00:13:09.700 Awaish Kumar: Snowflake?

92 00:13:11.190 00:13:15.939 Awaish Kumar: Right? And then, like, CICD for, like.

93 00:13:22.920 00:13:24.869 Awaish Kumar: This is number 2.

94 00:13:25.150 00:13:30.009 Awaish Kumar: The third thing would be, like, how we are going to run the…

95 00:13:30.840 00:13:34.350 Awaish Kumar: Like, the… run it in production, like, you…

96 00:13:34.490 00:13:45.360 Awaish Kumar: You mentioned a few things we can do on Snowflake, maybe to add some tasks or something like that, but that needs to be separate, like, how we are going to run in production.

97 00:13:46.740 00:13:48.709 Ashwini Sharma: Yeah, so.

98 00:13:49.680 00:13:57.800 Awaish Kumar: So, yeah, but, like, if you’ve already worked on it, no problem. I’m just trying to, like, split this project into few separate tasks.

99 00:13:57.990 00:14:03.630 Ashwini Sharma: Right, so only the 13 is sort of done, right? Setting up… the project is set up for Snowflake.

100 00:14:03.810 00:14:07.220 Ashwini Sharma: Now, what remains is…

101 00:14:07.960 00:14:15.649 Ashwini Sharma: You know, like, it runs also, it runs from, this one, setting up project in… this is also 7.

102 00:14:15.650 00:14:16.370 Awaish Kumar: Like, runs…

103 00:14:16.370 00:14:17.030 Ashwini Sharma: Amanda.

104 00:14:17.750 00:14:18.630 Awaish Kumar: Okay.

105 00:14:18.630 00:14:25.810 Ashwini Sharma: So, running setting up dbt Project in Snowflake workspace, I think, let’s mention that, right?

106 00:14:27.530 00:14:34.170 Awaish Kumar: But, like, what do you mean by running? Like, you are only… Running, like, you…

107 00:14:34.170 00:14:35.720 Ashwini Sharma: You have to click run.

108 00:14:35.720 00:14:36.609 Awaish Kumar: Annually, right?

109 00:14:36.610 00:14:37.720 Ashwini Sharma: Yeah, yeah, manually, right.

110 00:14:37.720 00:14:40.519 Awaish Kumar: That’s just in the setting up thing.

111 00:14:41.000 00:14:50.450 Ashwini Sharma: Yeah, that will be part of setting up thing. What, we need to modify that CTA15 a little bit, so that,

112 00:14:52.070 00:14:59.380 Ashwini Sharma: Because that manual run is not going to work in production, right? So, in production, it has to be through a task.

113 00:14:59.690 00:15:04.079 Awaish Kumar: Yeah, that’s why it’s a separate task. I don’t want to count that in that, so…

114 00:15:04.430 00:15:16.120 Awaish Kumar: We just set it up, it’s working, with your manual clicks, that’s okay. Now, how to run in production, so it runs on a schedule, then how to run in a CI-CD? So, these are two separate things.

115 00:15:16.460 00:15:17.930 Ashwini Sharma: Right, right, yeah.

116 00:15:20.750 00:15:21.810 Awaish Kumar: Anything else?

117 00:15:22.710 00:15:30.439 Ashwini Sharma: We can close that CTA too, and I think it’s open since a long time. We have explored some of… some amount of data.

118 00:15:30.730 00:15:34.969 Ashwini Sharma: It doesn’t have a clear goal, I mean, what do you mean by exploring, right?

119 00:15:35.380 00:15:36.849 Ashwini Sharma: So maybe let’s close that.

120 00:15:36.850 00:15:42.940 Awaish Kumar: Yeah, you have been working on this, I just created a placeholder for you to add description.

121 00:15:43.980 00:15:52.810 Ashwini Sharma: Yeah, so I’ve been working on that report creation, which involves exploring this data to a certain extent, not the entire dataset.

122 00:15:53.110 00:15:59.650 Ashwini Sharma: And maybe exploring the entire dataset might not even be feasible, right? Until we start modeling it, and then…

123 00:15:59.860 00:16:01.780 Ashwini Sharma: Targeting specific datasets.

124 00:16:02.180 00:16:10.890 Awaish Kumar: I created two separate tickets to… to… to, like, basically split that thing also, like, first of all.

125 00:16:11.020 00:16:25.579 Awaish Kumar: how you are going to automate it if you don’t know where the data lives? So that’s the discovery or exploration. That is the part of this thick, and, like, if you spend, for example, an hour or two figuring out things, curing, learning about tables and things.

126 00:16:25.920 00:16:30.000 Awaish Kumar: That’s part of this ticket, and then you started building. That’s…

127 00:16:30.900 00:16:32.599 Ashwini Sharma: Then, in that case, we can close this.

128 00:16:33.020 00:16:34.190 Awaish Kumar: Yeah, okay.

129 00:16:35.310 00:16:38.290 Ashwini Sharma: I haven’t worked on the Gantt chart yet.

130 00:16:39.010 00:16:39.670 Awaish Kumar: Okay.

131 00:16:42.710 00:16:47.539 Awaish Kumar: Okay, yeah, we can move on to… I think we don’t… I don’t think we have anything on…

132 00:16:48.080 00:16:50.080 Awaish Kumar: Urban stems, or anything?

133 00:16:51.800 00:16:54.659 Awaish Kumar: We can then move on to default.

134 00:16:57.080 00:17:03.139 Awaish Kumar: So far, we don’t have any… yet any updates on, When the magic…

135 00:17:04.060 00:17:09.029 Awaish Kumar: Spoon will be starting, but we can discuss default, never loud,

136 00:17:09.390 00:17:11.229 Awaish Kumar: If you want to go ahead.

137 00:17:18.780 00:17:19.849 Demilade Agboola: Can you hear me now?

138 00:17:20.150 00:17:21.230 Awaish Kumar: Yeah, we can now.

139 00:17:21.440 00:17:26.849 Demilade Agboola: Oh, okay. Sorry, my microphone was off. Yeah, so for default, the…

140 00:17:28.140 00:17:30.109 Demilade Agboola: I have started cleaning up the topics.

141 00:17:30.860 00:17:40.029 Demilade Agboola: And I’m… the idea today is to finish up, to create another new topic, as well as, clean up the current topic that exists.

142 00:17:40.270 00:17:45.089 Demilade Agboola: But that’s also had me going down, like, some holes and discovering that, like.

143 00:17:45.560 00:18:03.980 Demilade Agboola: teams and the enriched teams datasets are not the same number, so there are some missing values in the enriched teams that are not… that are present in the raw team. I’m trying to figure out, like, okay, so how was that… how was the Teams… Enriched Teams datasets gotten? All of that, so I’m currently working for that part.

144 00:18:03.980 00:18:17.200 Mustafa Raja: I could answer that. Okay. So, the way this, this was set up is, they provide this data monthly, right? And last month, when they, when they gave us data.

145 00:18:17.300 00:18:27.830 Mustafa Raja: new data for teams and all. We did not enrich that. So that is why, you would see a difference between those two tables.

146 00:18:28.770 00:18:29.929 Demilade Agboola: Okay, alright.

147 00:18:29.930 00:18:36.519 Mustafa Raja: Yeah, so we are… yeah, we are actually manually enriching, the Teams table.

148 00:18:38.030 00:18:42.380 Demilade Agboola: Okay, so, again, what’s the process to enrich it? Like, if I was going to enrich all the teams.

149 00:18:42.380 00:18:46.649 Mustafa Raja: Yeah, so it’s a… it’s a clay table that enriches

150 00:18:46.830 00:18:54.260 Mustafa Raja: So, yeah, just let me know. I could, I could… we could work, walk, walk it through together, so…

151 00:18:54.260 00:18:54.600 Demilade Agboola: Mars.

152 00:18:54.600 00:18:55.450 Mustafa Raja: Seekinden?

153 00:18:56.300 00:19:03.020 Demilade Agboola: Okay, alright. Yeah, so basically, I’m just… I’m modeling different things and different aspects of the business.

154 00:19:05.860 00:19:12.039 Awaish Kumar: So, like, the things you have been working on on OmniTopic, what are they part of? What ticket?

155 00:19:14.490 00:19:20.400 Demilade Agboola: The default is data modeling, so that would be… I’ll figure that…

156 00:19:21.850 00:19:22.640 Awaish Kumar: Yeah.

157 00:19:24.400 00:19:27.909 Awaish Kumar: Like, you’re building a topic for… For what?

158 00:19:28.650 00:19:29.530 Demilade Agboola: Oh, yeah.

159 00:19:30.580 00:19:32.139 Demilade Agboola: So it’s the…

160 00:19:35.670 00:19:42.619 Demilade Agboola: So, okay, it’s actually not… there’s actually no ticket for it right now, but it’s basically the… it’s basically a data modeling task.

161 00:19:43.330 00:19:44.210 Awaish Kumar: Yeah, so…

162 00:19:44.210 00:19:45.799 Demilade Agboola: Clean up, clean up these models.

163 00:19:47.160 00:19:51.419 Awaish Kumar: Yeah, create a data model for… for what this… Yeah, it’s funny.

164 00:19:51.420 00:19:56.429 Demilade Agboola: It’s cleaning up data… it’s cleaning up the topics, like, data models, as well as,

165 00:19:58.220 00:20:06.550 Demilade Agboola: was the… creating one for their… there’s a marketing topic that they want to look at as well, so I’m creating that as well.

166 00:20:11.530 00:20:12.920 Awaish Kumar: Yeah, like…

167 00:20:13.570 00:20:20.619 Awaish Kumar: Okay, I will just create a placeholder, if you can just add a few disc… like, a little bit of description, what… what does it mean?

168 00:20:21.310 00:20:23.220 Demilade Agboola: Okay. Sounds good.

169 00:20:26.710 00:20:27.350 Awaish Kumar: Okay.

170 00:20:28.170 00:20:31.030 Awaish Kumar: Maybe I can move it to in progress, also?

171 00:20:31.030 00:20:32.590 Demilade Agboola: Yes, in progress.

172 00:20:33.740 00:20:37.789 Awaish Kumar: Okay, yeah, we have done quite a, like, two tasks in progress for you.

173 00:20:41.280 00:20:41.950 Demilade Agboola: Yes.

174 00:20:42.090 00:20:49.849 Demilade Agboola: those are the two tasks, basically. So I’m trying to create that, as well as the integration. So for the dashboard,

175 00:20:50.860 00:20:54.690 Demilade Agboola: I started creating, like, putting everything together,

176 00:20:55.330 00:21:04.249 Demilade Agboola: And I will reach out to Caitlin today to see if, like, if she can give a one-time view on what else she will want to see in the products integration dashboard.

177 00:21:05.990 00:21:11.830 Awaish Kumar: Okay, so what you are working on, basically, right now in 1999,

178 00:21:12.360 00:21:16.400 Awaish Kumar: Is going to, like, fuel this 191?

179 00:21:19.590 00:21:27.779 Demilade Agboola: Yes, so if once I clean up the products aspect of it, we would have the full data that allow us to see, like, more of

180 00:21:28.220 00:21:30.439 Demilade Agboola: What we currently have.

181 00:21:33.220 00:21:33.920 Awaish Kumar: Okay.

182 00:21:36.410 00:21:37.820 Awaish Kumar: And, yeah.

183 00:21:39.180 00:21:46.919 Awaish Kumar: So, kind of, this is not a starter then yet. Like, you are still building the prim… like, preliminary things, modeling, cleaning up things.

184 00:21:47.510 00:21:53.740 Demilade Agboola: So, because we already have… we already have a products board, and we also have an integration board.

185 00:21:54.950 00:22:03.010 Demilade Agboola: merge some of them together, but I also, in the process of building out, like, the integration board, I noticed some irregularities with the data.

186 00:22:03.010 00:22:16.959 Awaish Kumar: Which is why I’m cleaning it and trying to ensure that… Yeah, I get it. I’m just saying that, like, you’re working on, like, cleaning up and data modeling part now. Once that’s done, you will start actually building a dashboard, right?

187 00:22:19.080 00:22:23.939 Demilade Agboola: Yes, if… I mean, it does exist… parts of it already exists.

188 00:22:24.070 00:22:25.880 Demilade Agboola: He’s just putting it together, I guess.

189 00:22:25.880 00:22:30.340 Awaish Kumar: Yes. It just exists, but right now it’s not in progress. It can…

190 00:22:30.820 00:22:35.729 Awaish Kumar: Be in progress, and, like, maybe after you clean up data, you can move it to in progress.

191 00:22:36.200 00:22:37.200 Demilade Agboola: Okay, sure.

192 00:22:43.570 00:22:44.800 Awaish Kumar: Yeah, okay.

193 00:22:45.330 00:22:49.920 Awaish Kumar: Is there anything else? I mean, how, how… How long?

194 00:22:50.180 00:22:50.950 Awaish Kumar: Do you think it is?

195 00:22:50.950 00:22:53.150 Demilade Agboola: This should be… this should be done today. This should be done today.

196 00:22:53.150 00:22:54.539 Awaish Kumar: No, I mean, like, in terms of…

197 00:22:54.540 00:22:57.440 Demilade Agboola: point. It’s like a two-point theme.

198 00:22:57.870 00:22:58.540 Awaish Kumar: Okay.

199 00:23:02.040 00:23:06.479 Awaish Kumar: Is there anything else on… like, was this done? I think so.

200 00:23:06.480 00:23:11.280 Demilade Agboola: The office hours is today, by 1PM EST, so I would have a…

201 00:23:11.780 00:23:21.449 Demilade Agboola: the office hours with the team, and then anyone can come in and, you know, if they have any issues, or if they have any guidance, I would help them with that. So it’s today by 1pm.

202 00:23:21.830 00:23:22.760 Demilade Agboola: EST.

203 00:23:24.080 00:23:26.050 Awaish Kumar: Okay, it’s like…

204 00:23:34.720 00:23:38.079 Awaish Kumar: Yeah, that’s okay, I just haven’t had a placeholder for you.

205 00:23:42.170 00:23:44.840 Awaish Kumar: Yeah, what’s far, like, is this done?

206 00:23:46.060 00:23:51.569 Mustafa Raja: No, I was mostly working on ABC yesterday. I’ll have… I’ll have this done today.

207 00:23:54.040 00:24:01.770 Awaish Kumar: Okay, so we basically… Okay, what… so, like, okay, so…

208 00:24:03.090 00:24:07.469 Awaish Kumar: what are we trying to achieve with this? Like, everything, like, the topics and stuff.

209 00:24:07.650 00:24:09.720 Awaish Kumar: are going to be in GitHub, like, is that…

210 00:24:09.720 00:24:16.680 Mustafa Raja: Yeah, yeah, this is pretty much this, yeah. We want all the modeling files in there.

211 00:24:16.960 00:24:20.099 Mustafa Raja: And… and the topics, whatever we can put in there.

212 00:24:20.510 00:24:24.169 Awaish Kumar: Yeah, like, omni modeling, because we don’t have dbt anymore.

213 00:24:24.170 00:24:25.350 Mustafa Raja: Yes, yeah.

214 00:24:33.470 00:24:38.329 Awaish Kumar: Okay, that’s good. Then… Maybe we can,

215 00:24:38.860 00:24:41.609 Awaish Kumar: discuss a little bit about Eden. I…

216 00:24:41.940 00:24:45.400 Awaish Kumar: I don’t have anything on my plate on agent, so…

217 00:24:45.690 00:24:48.309 Awaish Kumar: Damilade, did you want to give any updates?

218 00:24:49.060 00:24:53.249 Demilade Agboola: Yeah, for the store art splits, I have sent the PR in.

219 00:24:53.400 00:25:00.870 Demilade Agboola: So once that’s merged, I can… once that’s reviewed, I can merge it, and that’ll be…

220 00:25:00.870 00:25:02.500 Awaish Kumar: Is it for me, or, like…

221 00:25:03.460 00:25:06.779 Demilade Agboola: I mean, you could review it, I just put it in.

222 00:25:06.780 00:25:07.210 Awaish Kumar: Okay.

223 00:25:07.460 00:25:10.660 Demilade Agboola: So the idea is anything that is not GLP,

224 00:25:10.920 00:25:18.779 Demilade Agboola: So, anything that is GLP and is not specific to either SEMA or terzeposide is the very, very new split amongst those two.

225 00:25:19.690 00:25:20.710 Demilade Agboola: That’s it.

226 00:25:21.990 00:25:24.310 Awaish Kumar: Okay, I will review it then, we can just close it.

227 00:25:24.550 00:25:25.360 Demilade Agboola: Alright, then.

228 00:25:25.720 00:25:28.900 Awaish Kumar: Okay, yeah, Ashwani, you can go ahead.

229 00:25:30.340 00:25:33.409 Ashwini Sharma: Yeah, how about… Sorry, sorry, go ahead, Debbie.

230 00:25:33.410 00:25:38.339 Demilade Agboola: I was gonna say, for the Zach Bask, I’ll send a message in, so that’ll be… I can close that by tomorrow.

231 00:25:39.480 00:25:40.110 Awaish Kumar: Okay.

232 00:25:43.260 00:25:44.470 Awaish Kumar: Yeah, actually.

233 00:25:44.470 00:25:50.710 Ashwini Sharma: So, on Aiden’s side, I had to rework on that, catalyst thing.

234 00:25:51.410 00:25:56.239 Ashwini Sharma: bug fix for the Daxter pipeline, I don’t have.

235 00:25:56.240 00:25:56.890 Awaish Kumar: Dude, good.

236 00:25:56.890 00:25:58.089 Ashwini Sharma: For that, yeah.

237 00:25:58.730 00:26:01.500 Ashwini Sharma: Or I’ll create a ticket for that, which I’ve already done.

238 00:26:01.680 00:26:06.599 Ashwini Sharma: And then, I’m gonna work on the…

239 00:26:07.730 00:26:10.190 Ashwini Sharma: Business days calculation in order summary.

240 00:26:10.670 00:26:11.710 Awaish Kumar: So, like…

241 00:26:11.710 00:26:16.529 Ashwini Sharma: Sorry, no, no, I’ll have to work on the other two tickets, which are higher priority.

242 00:26:17.190 00:26:20.350 Awaish Kumar: So, they are not part of current cycle, right? This…

243 00:26:20.350 00:26:22.650 Ashwini Sharma: Which one?

244 00:26:23.460 00:26:31.179 Ashwini Sharma: No, it was a high-priority ticket from Zora, and that’s why I started working on those. This is already done, MetaCap.

245 00:26:31.180 00:26:36.090 Awaish Kumar: Yeah, this is done, I’m just asking… this was, like, in the last week, right?

246 00:26:36.260 00:26:36.820 Ashwini Sharma: Yeah.

247 00:26:39.310 00:26:41.260 Awaish Kumar: This was done in last week itself.

248 00:26:41.670 00:26:45.410 Awaish Kumar: Or to move it back to cycle 27, right?

249 00:26:47.460 00:26:48.340 Awaish Kumar: Okay.

250 00:26:52.300 00:26:54.739 Awaish Kumar: For this week, we have these, like.

251 00:26:54.930 00:26:58.249 Awaish Kumar: Three tickets, and then you can add whatever you worked on today.

252 00:26:58.590 00:27:00.400 Ashwini Sharma: Yeah, I’ll add that.

253 00:27:01.140 00:27:09.240 Ashwini Sharma: But I’ll have to work on 1268 and 1266, which are… Which are targeted

254 00:27:09.360 00:27:12.520 Ashwini Sharma: I mean, strictly targeted for this week, as per Zoran.

255 00:27:13.000 00:27:16.930 Awaish Kumar: Yeah, but we, like… We want to achieve all of this.

256 00:27:16.930 00:27:21.379 Ashwini Sharma: Yeah, yeah, yeah. It’s just the order in which I need to do it.

257 00:27:22.340 00:27:26.490 Awaish Kumar: Yeah, that’s okay. I don’t think so.

258 00:27:26.810 00:27:28.250 Ashwini Sharma: We can’t change that.

259 00:27:28.250 00:27:32.880 Awaish Kumar: This is okay, like… Outdo…

260 00:27:34.680 00:27:39.309 Awaish Kumar: This is low, anyway, so we… I can just…

261 00:27:39.310 00:27:41.290 Ashwini Sharma: This is… this has to be high.

262 00:27:43.690 00:27:45.919 Awaish Kumar: Oh, yeah, I said, okay.

263 00:27:50.990 00:27:51.800 Awaish Kumar: Okay.

264 00:27:56.050 00:28:01.889 Awaish Kumar: Okay, you can work on those, because this one, I don’t think, like, Henry’s pushing you…

265 00:28:02.090 00:28:04.090 Awaish Kumar: To finish it quickly, so…

266 00:28:04.270 00:28:09.859 Awaish Kumar: You can work on it at the end, but the target for this week is that we want to close all of this, because…

267 00:28:09.860 00:28:10.470 Ashwini Sharma: Yep.

268 00:28:10.470 00:28:14.709 Awaish Kumar: Maybe we… This is also from last week, right, Devladeh?

269 00:28:18.820 00:28:20.350 Demilade Agboola: Yes, this is from last week.

270 00:28:21.450 00:28:29.250 Awaish Kumar: So, like, we are only at, like, on AI side, we are only, like, Maybe…

271 00:28:29.980 00:28:34.199 Awaish Kumar: 6 to 8 points now, so we can just close all of this.

272 00:28:36.880 00:28:43.040 Awaish Kumar: Yeah, TED is our target, like, between all of us, like, we just want to spend 10 hours

273 00:28:44.370 00:28:46.210 Awaish Kumar: for the AET work.

274 00:28:47.830 00:28:48.979 Ashwini Sharma: Between all of us?

275 00:28:49.940 00:28:53.349 Awaish Kumar: Yeah, between all of us, but mainly you are working on it.

276 00:28:53.590 00:28:56.980 Awaish Kumar: A little bit dominante. I’m mostly…

277 00:28:58.790 00:29:05.249 Awaish Kumar: just maybe sometimes looking at the tickets, but I’m not actually implementing anything for ATM.

278 00:29:05.820 00:29:06.430 Ashwini Sharma: Okay.

279 00:29:12.710 00:29:21.000 Awaish Kumar: Yeah, well, yeah, but these, like, these tickets reflect the correct story points, so you, like, you have a lot more…

280 00:29:21.540 00:29:26.879 Awaish Kumar: a work on Eden, and then a little bit on Demilar’s blade, and that’s all.

281 00:29:29.450 00:29:30.250 Ashwini Sharma: Okay.

282 00:29:34.040 00:29:36.090 Awaish Kumar: Yeah, I think that we are good.

283 00:29:36.280 00:29:39.670 Awaish Kumar: Is there anything else I missed?

284 00:29:39.960 00:29:41.500 Awaish Kumar: On any of the clients?

285 00:29:48.560 00:29:51.409 Awaish Kumar: Okay, for, I think,

286 00:29:56.500 00:29:58.770 Awaish Kumar: Okay, yeah, we are good, like…

287 00:29:59.920 00:30:08.930 Awaish Kumar: on this, like, CTA stuff, we are… we are trying to cross this one. So, is this the plan for this week, or is this…

288 00:30:08.930 00:30:13.189 Ashwini Sharma: No, it’s a plan for today, I want to do it today itself.

289 00:30:13.440 00:30:18.599 Awaish Kumar: Okay. So let’s clean up, like, also, like, what is the plan for this week?

290 00:30:19.070 00:30:24.830 Ashwini Sharma: This week would be, CTA3, CTA 15, and 14.

291 00:30:26.470 00:30:28.940 Awaish Kumar: this, then I can move it to next week.

292 00:30:29.230 00:30:35.620 Ashwini Sharma: Yeah, I don’t know, I’ll have to sit with Rico and understand, like, what exactly we do in this.

293 00:30:37.020 00:30:40.009 Awaish Kumar: And what about these tickets? So, I can move all.

294 00:30:40.010 00:30:45.419 Ashwini Sharma: These would be in next cycles.

295 00:30:48.440 00:30:49.429 Awaish Kumar: They’re not happening.

296 00:30:49.430 00:30:53.090 Ashwini Sharma: No, no, no, no, no, no way.

297 00:30:58.180 00:31:02.119 Ashwini Sharma: Scoping document, yes, I think that we can keep.

298 00:31:02.700 00:31:07.929 Ashwini Sharma: This is not assigned to me, it’s assigned to Sam.

299 00:31:08.780 00:31:09.640 Awaish Kumar: Oh, okay.

300 00:31:13.040 00:31:15.060 Ashwini Sharma: ingestion, remember.

301 00:31:15.430 00:31:20.440 Ashwini Sharma: Remember, data is already there, I don’t think we need to ingest it again.

302 00:31:20.630 00:31:26.129 Ashwini Sharma: We’ll talk with Catherine, and then figure out if we need to ingest, because…

303 00:31:26.450 00:31:32.170 Ashwini Sharma: the data is already there in Snowflake, maybe, like, we want to save it somehow.

304 00:31:32.410 00:31:34.500 Ashwini Sharma: I think that that’s totally okay.

305 00:31:35.790 00:31:37.729 Awaish Kumar: Okay, I’ll just keep it…

306 00:31:38.070 00:31:46.890 Awaish Kumar: to finalize it, like, whatever you want to discuss, you can discuss. What are your comments and final conclusion on this?

307 00:31:47.070 00:31:47.660 Ashwini Sharma: Sure.

308 00:31:50.160 00:31:52.560 Awaish Kumar: Okay, so can it happen this week?

309 00:31:53.640 00:31:56.450 Ashwini Sharma: Yes, I think we can do it this week.

310 00:31:58.040 00:31:58.750 Awaish Kumar: Okay.

311 00:31:58.750 00:32:10.280 Ashwini Sharma: And this way… when I say this week, we can finalize whether we need to ingest or not ingest in this week. If we have to ingest it, then it becomes setting up a different pipeline, a different task, right?

312 00:32:10.540 00:32:13.020 Ashwini Sharma: Just the decision, like, what you want. Yeah, yeah, yeah.

313 00:32:14.530 00:32:15.260 Awaish Kumar: Okay.

314 00:32:15.730 00:32:23.430 Awaish Kumar: Great, thank you, everyone. I don’t have anything else, so… See you in next meetings.

315 00:32:25.150 00:32:26.120 Awaish Kumar: Right?

316 00:32:26.120 00:32:27.739 Demilade Agboola: Thank you, see you.

317 00:32:30.080 00:32:30.840 Mustafa Raja: Thank you.