Meeting Title: Data Service Standup Date: 2026-02-11 Meeting participants: Mustafa Raja, Awaish Kumar, Demilade Agboola, Ashwini Sharma


WEBVTT

1 00:01:45.520 00:01:46.390 Ashwini Sharma: Hello.

2 00:01:50.390 00:01:51.040 Mustafa Raja: Hmm.

3 00:01:53.220 00:01:59.720 Awaish Kumar: Bye, yeah, Musa, can you please show linear boat to it?

4 00:02:00.970 00:02:01.770 Mustafa Raja: Yes.

5 00:02:03.050 00:02:04.399 Mustafa Raja: Let me share my screen.

6 00:02:08.310 00:02:11.759 Mustafa Raja: Okay, should we start with Element?

7 00:02:12.810 00:02:14.720 Awaish Kumar: Yeah, we can start with that event.

8 00:02:15.450 00:02:25.780 Awaish Kumar: Yeah, so… For Element, actually, we… delivered on… Wholesale reporting, and…

9 00:02:26.120 00:02:29.100 Awaish Kumar: And we are continuing to work on the retail one.

10 00:02:29.540 00:02:43.490 Awaish Kumar: And yeah, I’m helping Amber with… on modeling side, but, overall, we are good with the client, and good on… in terms of what we are going to deliver this week.

11 00:02:44.830 00:02:50.209 Awaish Kumar: So, all good here. We can move on to… Cta?

12 00:02:52.880 00:02:55.709 Awaish Kumar: For the CTA, Ashwini, you can go up.

13 00:02:56.190 00:03:01.780 Ashwini Sharma: Yeah, CTA, I’ve dragged the issues in this one, Asana to,

14 00:03:02.140 00:03:10.969 Ashwini Sharma: linear, so you’ll see a bunch of different issues created. In to-do cycle, I have one in the to-do cycle. I’ve closed a couple of them, which are there in the done.

15 00:03:11.130 00:03:17.460 Ashwini Sharma: And a few of them are in the PR review mode. Since yesterday, I think they have changed some settings, so…

16 00:03:17.620 00:03:21.629 Ashwini Sharma: directly merged is kind of blocked right now. Somebody has to review it.

17 00:03:22.570 00:03:23.150 Awaish Kumar: Okay.

18 00:03:23.150 00:03:32.960 Ashwini Sharma: So, yeah, that’s the current status. There are a few tickets which are not yet assigned to anyone, and there are a bunch of other tickets in backlog which are not yet pulled into the cycle.

19 00:03:33.280 00:03:34.619 Ashwini Sharma: So, maybe, like…

20 00:03:34.620 00:03:37.490 Awaish Kumar: So, we are on track, right, on this client?

21 00:03:38.090 00:03:39.360 Ashwini Sharma: Yeah, we are on track here.

22 00:03:40.100 00:03:42.530 Awaish Kumar: Is there any blockers?

23 00:03:43.580 00:03:52.290 Ashwini Sharma: I think, in terms of block, not exactly blocker, but the most high priority item might be the identity stitching resolution thing.

24 00:03:52.630 00:03:53.620 Ashwini Sharma: Right, so…

25 00:03:53.620 00:03:58.250 Awaish Kumar: We had our meeting with Utam today, and we are going to… Discuss on that.

26 00:03:58.250 00:04:03.830 Ashwini Sharma: I will be working on that already. Yeah, there’s no blocker as such for CTA.

27 00:04:03.830 00:04:06.939 Awaish Kumar: Okay, moving on to Magic Spoon.

28 00:04:08.190 00:04:11.329 Awaish Kumar: Demi, you can go.

29 00:04:14.040 00:04:21.289 Demilade Agboola: For Magic Spoon, things seem to be fine. We’re making progress with, what we’re doing.

30 00:04:21.579 00:04:27.239 Demilade Agboola: We’ve been able to QA some things with the clients, and make progress with that.

31 00:04:27.690 00:04:34.070 Demilade Agboola: We’ve sent some feedback to Spins directly about, some issues we’re having with their data.

32 00:04:34.730 00:04:37.139 Demilade Agboola: But, yeah, in the end, like…

33 00:04:37.560 00:04:48.500 Demilade Agboola: Yeah, that we have with your data. So, right now, we’ve been able to get closer to what we want to get to, but there’s still some, like, small holes here and there that we want to figure out why they exist.

34 00:04:48.500 00:04:49.390 Awaish Kumar: all places.

35 00:04:50.140 00:05:00.859 Demilade Agboola: And then, finally, we’re just modeling some of the Spain’s data into, everything that exists right now. So we modeled some data before, but we’re just modeling more now.

36 00:05:01.040 00:05:04.790 Demilade Agboola: And then we have a call with them today to kind of show them what we’ve done this week.

37 00:05:05.490 00:05:09.570 Demilade Agboola: And just get their feedback, so that we can tidy things up for Friday.

38 00:05:09.780 00:05:18.369 Demilade Agboola: Because the plan with, UTAM is just, hey, we’re trying to… if we don’t get to get the contract signed by Friday, we should kind of just, like, get things…

39 00:05:18.520 00:05:21.969 Demilade Agboola: We should just hand over things to them, so we want to just tidy things up.

40 00:05:22.110 00:05:23.189 Demilade Agboola: Before Friday.

41 00:05:23.190 00:05:31.080 Awaish Kumar: Okay, so is there anything, yeah, it’s a question more for Ashwani. Is there anything in… to do, like, for today and tomorrow?

42 00:05:31.600 00:05:34.020 Ashwini Sharma: No, I don’t have anything in Todo.

43 00:05:34.260 00:05:51.330 Ashwini Sharma: The last update was I sent out that report to Ugo. He needs to respond to it, because, like, right now… yesterday also, I sat with Michael for about an hour, just discussing how we can calculate GDP and ECV, and it wasn’t clear from the numbers that we have.

44 00:05:51.590 00:05:52.290 Ashwini Sharma: Right?

45 00:05:52.490 00:05:53.360 Ashwini Sharma: So…

46 00:05:53.680 00:06:00.020 Awaish Kumar: Okay, is the space ingestion done, like, for all the historical… For dates? No.

47 00:06:00.020 00:06:06.539 Ashwini Sharma: No, no, it is not done. He said, you know, I should wait until we are clear on what filters we need to use for.

48 00:06:06.540 00:06:08.969 Awaish Kumar: Or getting a historical extract, so…

49 00:06:09.170 00:06:10.730 Ashwini Sharma: I didn’t proceed on that.

50 00:06:12.080 00:06:15.239 Awaish Kumar: Okay, and who… who are we waiting on?

51 00:06:15.950 00:06:21.360 Ashwini Sharma: I think we’re waiting on Ugo, mainly, for the TDP, ACV values.

52 00:06:21.550 00:06:22.630 Ashwini Sharma: And.

53 00:06:22.630 00:06:25.880 Awaish Kumar: Someone have, spins, or magic spawn?

54 00:06:26.130 00:06:28.119 Ashwini Sharma: It’s… it’s from Spins, not from Magic Spoon.

55 00:06:28.120 00:06:29.770 Awaish Kumar: Okay. Okay.

56 00:06:30.690 00:06:35.459 Awaish Kumar: Okay, that’s kind of a blocker for this task, so…

57 00:06:36.680 00:06:40.530 Ashwini Sharma: Yeah, in a way, it can be considered as a blocker.

58 00:06:40.530 00:06:46.149 Awaish Kumar: And maybe in today’s meeting, we can discuss about the filters that we want to use for.

59 00:06:46.600 00:06:50.869 Ashwini Sharma: For historical extract, we can decide the timelines, and then,

60 00:06:51.020 00:06:54.440 Ashwini Sharma: When I say timelines, this means, like, till… till from where…

61 00:06:55.010 00:07:06.759 Ashwini Sharma: from when till where to extract the data, and I think we should be… once I have that information, I can start refactoring the pipeline to do a historical extract.

62 00:07:07.710 00:07:17.629 Awaish Kumar: Okay, so, like, I just want to say, like, is there anywhere we are putting this thing, highlighting that we are blocked on this thing, or we are waiting?

63 00:07:18.160 00:07:21.840 Awaish Kumar: Or on some answers from SPINs before moving on.

64 00:07:22.280 00:07:30.799 Ashwini Sharma: It’s only in the… yeah, I put this message on the channel, right? Other than that, I have not put it anywhere else. Do you want me to put it somewhere?

65 00:07:31.950 00:07:37.229 Awaish Kumar: I don’t know, when you meet with clients, how do you normally convey these things? In the slides, or…

66 00:07:37.230 00:07:40.420 Ashwini Sharma: We put it in the slides, yeah, we put it in the slides, mainly.

67 00:07:41.180 00:07:42.000 Awaish Kumar: Okay.

68 00:07:44.400 00:07:46.769 Awaish Kumar: Okay, all good here then,

69 00:07:46.980 00:07:49.940 Awaish Kumar: I see, yeah, let’s see how it goes.

70 00:07:50.120 00:07:52.069 Awaish Kumar: Then, moving on to default.

71 00:07:54.710 00:07:58.349 Awaish Kumar: How’s it going with S3 access, Demi?

72 00:07:59.130 00:08:05.430 Demilade Agboola: So S3, it’s still slow, Victor is still very slow with responding, but I have reached out to him directly.

73 00:08:05.570 00:08:07.820 Demilade Agboola: And I’m trying to put pressure on him.

74 00:08:08.390 00:08:15.029 Demilade Agboola: To just kind of respond. He’s responded, they asked him for some time so that they can have a call.

75 00:08:15.950 00:08:19.870 Demilade Agboola: And so that we can sort it out on a call. He has not responded, I mean…

76 00:08:20.460 00:08:36.490 Demilade Agboola: Ultimately, you can only try your best to push. If he’s not responding as quickly as he needs to, we can’t always push that further. But what we have done, though, is we’ve ensured that most of these data sources that we need are already connected in Polytomic.

77 00:08:36.780 00:08:38.130 Demilade Agboola: So the moment’s…

78 00:08:38.130 00:08:38.500 Awaish Kumar: Nope.

79 00:08:38.500 00:08:44.260 Demilade Agboola: is done, we can just start to sync data directly to mother… and yeah, directly to mother.com.

80 00:08:46.120 00:08:47.060 Awaish Kumar: Okay.

81 00:08:48.530 00:08:55.489 Awaish Kumar: So, once they’re… once the mother duck, like, required, kind of.

82 00:08:56.130 00:09:01.060 Awaish Kumar: For this, or, like, we just chose because, because it suited that use case?

83 00:09:02.410 00:09:15.179 Demilade Agboola: To be honest, that decision was made before I joined the team, so it’s… I just know when I came, there was already Mother Duck, and I’m guessing, at this point, it might be harder to… or it might be a bit stressful to start with a new…

84 00:09:15.630 00:09:23.839 Demilade Agboola: like, warehouse, because that would have to go through legal and, you know, all of that again, so I’m guessing that’s kind of why we’re still just using Mother Doc.

85 00:09:25.340 00:09:33.759 Awaish Kumar: Yeah, like, I know, like, a little bit about this, like, when we started, it was just some few files they wanted to see in database.

86 00:09:33.880 00:09:49.720 Awaish Kumar: So, we spin up Mother Duck, which was easier for that use case, and put it there, but I’m not sure, if it is causing delays, like, we could have maybe moved to something else.

87 00:09:50.770 00:09:58.009 Demilade Agboola: Yeah, I mean, ultimately, yeah, I think if we had… if this was Snowflake, we would definitely have been done a long time ago.

88 00:09:58.140 00:10:04.359 Demilade Agboola: Yeah. And Cindy, even if they use, like, they use AWS, or even Redshift would have been much easier to set up.

89 00:10:04.930 00:10:10.639 Demilade Agboola: I guess, like, it’s one of those things where…

90 00:10:10.890 00:10:26.479 Demilade Agboola: it feels like we’re… since we’re already on it, and we’re so close, we’re just like, okay, let’s just finish it. Because literally, it’s an S3 bucket, that’s the only thing that is left. So, this isn’t something that should take time, like, legitimately, in a 30-minute call, if we all sat down, we could get this done.

91 00:10:26.820 00:10:27.830 Demilade Agboola: I agree.

92 00:10:27.830 00:10:36.350 Awaish Kumar: I agree with you, like, this is not a big thing, but, like, normally when something is online, we are just…

93 00:10:36.710 00:10:39.780 Awaish Kumar: Delayed by them, and like…

94 00:10:40.590 00:10:44.150 Awaish Kumar: And to them, it feels like we are delaying it, right?

95 00:10:45.050 00:10:53.070 Demilade Agboola: Yeah, yeah, that’s what I’m… that’s why I keep trying to communicate on a daily that, you know, this is still the blocker, this is what’s going on, because I don’t want it to…

96 00:10:53.260 00:10:57.030 Demilade Agboola: They think of, like, in two weeks’ time, they’re saying, hey, we need this.

97 00:10:57.290 00:11:00.099 Demilade Agboola: This hasn’t come, and, you know, what are you guys doing?

98 00:11:00.250 00:11:04.469 Demilade Agboola: I need to… I’m trying to be very clear, though, we’re trying our best with what we have.

99 00:11:04.570 00:11:08.479 Demilade Agboola: But until Polytomic, we can get warehouse access.

100 00:11:08.750 00:11:11.680 Demilade Agboola: to, like, ingest data, we can’t do anything right now.

101 00:11:12.690 00:11:13.410 Awaish Kumar: Okay.

102 00:11:14.170 00:11:18.039 Awaish Kumar: Okay, and that’s the only thing we are, like, right now working on?

103 00:11:19.460 00:11:20.239 Mustafa Raja: Yeah, I’m about to…

104 00:11:21.480 00:11:22.540 Mustafa Raja: Yeah, go on, go.

105 00:11:23.340 00:11:25.439 Demilade Agboola: I was gonna see if Mustafa had anything he was working on.

106 00:11:25.680 00:11:31.969 Mustafa Raja: Yeah, yeah, so I’m only working on this, SEMrush, data stuff that I communicated yesterday, and I’ll…

107 00:11:32.730 00:11:37.259 Mustafa Raja: I will be presenting, my strategy in the channel today.

108 00:11:37.660 00:11:40.340 Mustafa Raja: I need to work a little bit more on this.

109 00:11:41.860 00:11:42.620 Awaish Kumar: Okay.

110 00:11:43.160 00:11:46.740 Awaish Kumar: Great. Then moving on to…

111 00:11:46.740 00:11:50.070 Mustafa Raja: Eden, I think. We don’t have anything on ABC.

112 00:11:51.010 00:11:55.870 Awaish Kumar: So, let’s move on to Eden. So, for the TikTok thing, I think I…

113 00:11:56.560 00:12:11.400 Awaish Kumar: I will be working on this, maybe, or I will ask Zoran himself to work on it, but for executive control center task, like, that is done. And apart from that,

114 00:12:11.540 00:12:15.579 Awaish Kumar: I think you are pushing on Aplin’s part, right, Ashwini?

115 00:12:16.640 00:12:19.549 Ashwini Sharma: Yeah, yeah, I’m working on the offense part.

116 00:12:19.670 00:12:22.260 Ashwini Sharma: But after that, I don’t have anything on Eden.

117 00:12:23.570 00:12:24.950 Awaish Kumar: Okay.

118 00:12:25.390 00:12:29.639 Awaish Kumar: Well, I will give some of the tickets for Hero Lois.

119 00:12:29.750 00:12:44.669 Awaish Kumar: Then, yeah, for Eden OS, I will… so we will basically start modeling, so there’s not a lot of work on modeling side right now, because there’s no data to test. We will be writing some of the models based on,

120 00:12:45.040 00:12:47.980 Awaish Kumar: Like, maybe create an order table, order line.

121 00:12:48.090 00:13:00.060 Awaish Kumar: DIM tables out of whatever we have, but there’s still, like, without data validation, it… it feels like it’s half worked, so…

122 00:13:00.220 00:13:06.070 Awaish Kumar: We will be creating some models anyway, so that when data is there, we can start on validation part.

123 00:13:06.590 00:13:09.280 Awaish Kumar: But apart from that, all good here as well.

124 00:13:09.690 00:13:10.340 Ashwini Sharma: Chill.

125 00:13:10.760 00:13:14.660 Awaish Kumar: So that’s the end of the stand-up, so if there is any ticket.

126 00:13:15.060 00:13:17.999 Awaish Kumar: If you want to discuss, we can stay here, otherwise… Yeah.

127 00:13:18.470 00:13:20.680 Awaish Kumar: You can take back your time.

128 00:13:25.810 00:13:27.700 Ashwini Sharma: Alright, yeah, thank you.

129 00:13:27.700 00:13:29.379 Awaish Kumar: Welcome. Thank you, everyone.

130 00:13:29.540 00:13:30.739 Awaish Kumar: My serial plaque.

131 00:13:31.350 00:13:31.920 Mustafa Raja: Yep.