Meeting Title: Data Service Standup Date: 2026-01-20 Meeting participants: Mustafa Raja, Demilade Agboola, Ashwini Sharma, Uttam Kumaran, Rico Rejoso


WEBVTT

1 00:01:06.870 00:01:08.009 Mustafa Raja: Hey, Timmy.

2 00:01:16.030 00:01:17.049 Demilade Agboola: Hi, Mustafa.

3 00:01:18.350 00:01:20.809 Mustafa Raja: Yeah, I think Avish is out today.

4 00:01:21.800 00:01:23.490 Demilade Agboola: Yes, I wish it’s all today.

5 00:01:28.530 00:01:30.350 Ashwini Sharma: Good evening, everyone.

6 00:01:31.080 00:01:31.770 Mustafa Raja: A.

7 00:01:32.600 00:01:33.380 Demilade Agboola: Whoa.

8 00:01:33.590 00:01:35.340 Ashwini Sharma: I think Avish is out today, right?

9 00:01:36.050 00:01:44.009 Demilade Agboola: Yes, so we’ll just… I’ll… I could just run a stand-up and go through the different clients based on who is available right now.

10 00:01:44.360 00:01:44.750 Ashwini Sharma: Yep.

11 00:01:44.750 00:01:45.340 Mustafa Raja: Yep.

12 00:01:46.870 00:01:54.429 Demilade Agboola: So I think we’ll just give you a couple more minutes, maybe, like, 2 or 3 more minutes, let’s see if Michael Tam or whoever else is available, hops on, and then we can start.

13 00:01:54.430 00:01:55.090 Mustafa Raja: Yeah.

14 00:02:02.010 00:02:02.970 Uttam Kumaran: Hey guys.

15 00:02:03.520 00:02:06.009 Uttam Kumaran: Oasis out today, so I’ll be.

16 00:02:06.010 00:02:06.660 Demilade Agboola: Yeah.

17 00:02:06.880 00:02:07.900 Uttam Kumaran: I’ll be leading.

18 00:02:08.820 00:02:09.820 Demilade Agboola: Sounds good, then.

19 00:02:10.370 00:02:11.440 Uttam Kumaran: How’s everything?

20 00:02:13.610 00:02:15.239 Demilade Agboola: Oh, pretty good.

21 00:02:15.240 00:02:16.690 Ashwini Sharma: Good, yeah.

22 00:02:16.690 00:02:20.289 Demilade Agboola: There’s a storm in Malta, but other than that, it’s fine.

23 00:02:20.790 00:02:24.999 Uttam Kumaran: Okay, yeah, it’s also getting very, very cold here, so…

24 00:02:25.200 00:02:34.309 Uttam Kumaran: gonna try to… although I have some… I’m finally getting a little bit of, like, time to focus and get some work done, so, it’s been good this week.

25 00:02:36.820 00:02:37.730 Demilade Agboola: Oh, it’s good.

26 00:02:38.740 00:02:49.649 Uttam Kumaran: Cool, okay, let’s get started. Maybe, Demi, I’ll just start with, you know, the kind of clients you and Mustafa are covering, so… maybe we want to talk through Magic Spoon, and then we can talk about default?

27 00:02:51.780 00:02:53.460 Demilade Agboola: Okay,

28 00:02:54.320 00:03:03.439 Demilade Agboola: So, Magic Spoon, Magic Spoon is fine. I… I know that, like, they seem to trust us, and they’re looking forward to handing over…

29 00:03:04.630 00:03:11.600 Demilade Agboola: like, partner… Like, we’re thinking about their partnerships with their current data partners.

30 00:03:11.910 00:03:17.690 Demilade Agboola: I think this week will just be about showing them the…

31 00:03:18.270 00:03:25.540 Demilade Agboola: output from, like, our dbt audit, as well as some output from our QAing. Other than that, I think we’re fine.

32 00:03:30.830 00:03:42.070 Uttam Kumaran: Okay, great. Yeah, my only question from yesterday is, like, if you wanted to talk today, or if you wanted my help to help you, like, kind of organize the entire audit, like, deliverable.

33 00:03:42.360 00:03:50.500 Uttam Kumaran: I know we… I don’t know if we got a chance to do that, but I know there’s a bunch of moving parts, so one thing I can probably try to help with is, like.

34 00:03:50.740 00:03:54.789 Uttam Kumaran: Get that all into something that’s in a more organized fashion that we can…

35 00:03:55.120 00:04:02.079 Uttam Kumaran: sort of, like, be like, here’s the… here’s the deliverable, like, check off. And that’s also something that we can reuse, you know?

36 00:04:03.000 00:04:11.000 Demilade Agboola: Okay, sounds good. I’ll send something to the default… sorry, the Magic Spoon internal Slack, tagging it.

37 00:04:11.540 00:04:12.370 Uttam Kumaran: Okay, okay.

38 00:04:18.680 00:04:21.570 Uttam Kumaran: Cool. And then maybe let’s talk about, default?

39 00:04:23.450 00:04:24.979 Demilade Agboola: So for default.

40 00:04:26.130 00:04:32.340 Demilade Agboola: Yeah, go ahead. Yeah, I’ll just give the… for default, again, they also seem to be pretty fine.

41 00:04:34.570 00:04:39.109 Demilade Agboola: I will say that… I think it might be helpful to…

42 00:04:39.620 00:04:43.449 Demilade Agboola: Link, polyatomic, and default on a call.

43 00:04:43.610 00:04:49.769 Demilade Agboola: Just so that they can hash things out faster, and that wouldn’t be a blocker. But other than that, everything seems fine.

44 00:04:50.710 00:04:51.340 Mustafa Raja: Yep.

45 00:04:52.150 00:04:53.900 Mustafa Raja: So this week,

46 00:04:54.490 00:05:10.999 Mustafa Raja: Yeah, for default for this week, we have planned the ingestion, of the data sources to Mother Duck using, Polyatomic, and then a dashboard, on the, on the Salesforce data, and then we’ll start setting up dbt-4 modeling.

47 00:05:11.100 00:05:16.120 Mustafa Raja: That’s… that’s the tasks for this week, and so far, we are on track.

48 00:05:17.450 00:05:18.080 Uttam Kumaran: Okay.

49 00:05:21.570 00:05:37.889 Mustafa Raja: Yeah, apart from that, one thing that I would want to flag is I have, sent a loom in, in the default channel, Slack, and then what I would need is help on, deciding a few things, for the company dataset.

50 00:05:38.280 00:05:42.610 Mustafa Raja: It’s an ad hoc request from default.

51 00:05:45.730 00:05:49.189 Mustafa Raja: So if you can take a look at that, then that would be really nice.

52 00:05:49.960 00:05:50.660 Uttam Kumaran: Okay.

53 00:06:00.350 00:06:02.209 Uttam Kumaran: Cool.

54 00:06:02.370 00:06:07.380 Uttam Kumaran: Yeah, maybe, Demi, I can have you take the first pass of that, and then let me know.

55 00:06:07.380 00:06:08.179 Demilade Agboola: Yes, I’m okay.

56 00:06:08.540 00:06:15.359 Uttam Kumaran: Cool. Let’s talk through CTA. So, Ashwini,

57 00:06:15.580 00:06:23.120 Uttam Kumaran: I know we had a pretty long conversation yesterday, so maybe you just want to let me know your plan, and then I can see what else I can cover today.

58 00:06:23.420 00:06:34.229 Ashwini Sharma: Yeah, so today I’ll be mostly working on Magic Spoon QA stuff, because it’s been trending since a few days, right? And then, from tomorrow onwards, I’ll, you know, tackle the CTA thing.

59 00:06:34.610 00:06:35.510 Ashwini Sharma: Okay.

60 00:06:37.710 00:06:38.710 Uttam Kumaran: Okay.

61 00:06:38.790 00:06:42.599 Ashwini Sharma: Great. So, yeah, in terms of CTA today, then, I’m gonna work on…

62 00:06:42.740 00:06:47.500 Uttam Kumaran: Kind of, like, creating tickets for things that were,

63 00:06:47.600 00:06:53.089 Uttam Kumaran: discussed yesterday. And then also seeing if I can update, sort of, the Gantt chart.

64 00:06:53.460 00:06:59.659 Uttam Kumaran: And then if I get any time, I’m gonna start a Notion doc around,

65 00:07:01.240 00:07:05.230 Uttam Kumaran: around, like, Snowflake’s AI capabilities.

66 00:07:05.560 00:07:08.469 Uttam Kumaran: That way me and Catherine can discuss that, too.

67 00:07:08.700 00:07:16.230 Uttam Kumaran: But just let me know, like, as you get started on that tomorrow, if you need, you know, any help with, with, with CTA stuff.

68 00:07:16.260 00:07:21.180 Ashwini Sharma: Sure. Have we done anything, like, creating of semantic views on Snowflake?

69 00:07:22.430 00:07:24.730 Uttam Kumaran: We haven’t done any of that yet, no.

70 00:07:24.730 00:07:25.520 Ashwini Sharma: Okay.

71 00:07:25.980 00:07:31.950 Ashwini Sharma: Yeah, because, like, the Cortex thing on Snowflake relies heavily on semantic layer, right?

72 00:07:31.950 00:07:35.989 Uttam Kumaran: Yeah, so we’ll have to… we’ll have to create… we’ll have to create that layer, yeah.

73 00:07:37.730 00:07:43.249 Ashwini Sharma: Okay, yeah, today, I’ll mostly be occupied with Magix phones,

74 00:07:44.040 00:07:53.560 Ashwini Sharma: Yeah, I’m doing the extract again, because the QA dataset that they shared contains a lot of attributes, which earlier was not… not even asked, right?

75 00:07:53.760 00:08:00.589 Ashwini Sharma: So, I’m running the extract again, and once it is done, I’ll start working on the QA.

76 00:08:01.020 00:08:11.890 Ashwini Sharma: Yeah, I’ll look at the CTA thing tomorrow. Oh, by the way, I was going to ask, yesterday’s meeting, like, when Catherine sends out an invite, we don’t record that, right?

77 00:08:12.580 00:08:18.540 Uttam Kumaran: No, we don’t record that one. So, typically what happens is… I try to…

78 00:08:18.750 00:08:22.090 Uttam Kumaran: record on Granola on my end, but I was on mobile.

79 00:08:22.890 00:08:24.810 Uttam Kumaran: chance to.

80 00:08:26.020 00:08:29.780 Uttam Kumaran: What I would suggest is, like, I don’t know if… do you use granola at all?

81 00:08:29.990 00:08:31.800 Ashwini Sharma: No, I haven’t used that, huh?

82 00:08:31.800 00:08:39.070 Uttam Kumaran: Yeah, maybe I can invite you. Typically, for any meeting that’s, like, off of our platform, I try to record it there.

83 00:08:39.950 00:08:43.330 Uttam Kumaran: So maybe I can invite you,

84 00:08:43.970 00:08:46.600 Uttam Kumaran: Just so you have it as backup as well.

85 00:08:46.600 00:08:49.370 Ashwini Sharma: Sure, yeah, yeah. Some of the meetings invite, like.

86 00:08:49.660 00:08:52.959 Ashwini Sharma: Earlier, I had seen one meeting invite sent out by Shivani.

87 00:08:53.490 00:08:57.330 Ashwini Sharma: And I thought the same, maybe this won’t be recorded, yeah.

88 00:08:57.490 00:09:00.420 Uttam Kumaran: Yes, yeah, yeah, okay, okay, good.

89 00:09:03.560 00:09:04.220 Ashwini Sharma: Okay.

90 00:09:09.790 00:09:11.200 Uttam Kumaran: Cool,

91 00:09:12.390 00:09:21.799 Uttam Kumaran: On Element, yeah, we had a… we had a good meeting yesterday with them. We’re delivering some stuff for their wholesale team, so things are sort of moving along fine there.

92 00:09:22.040 00:09:29.879 Uttam Kumaran: On… I haven’t yet heard back from,

93 00:09:30.430 00:09:39.059 Uttam Kumaran: Kidra, so… sort of waiting to hear back on if they’re going to engage with the sort of product analytics service line that we proposed.

94 00:09:42.130 00:09:51.420 Uttam Kumaran: And then… yeah, I guess I’m interested also, Demi, in, like, how… in your review of all of Greg’s stuff.

95 00:09:51.530 00:09:53.599 Uttam Kumaran: For product analytics, for default.

96 00:09:53.890 00:10:00.649 Uttam Kumaran: I left a little bit of a review on the Gantt chart, but have a look, because it’ll be, sort of be you guys.

97 00:10:01.000 00:10:04.919 Uttam Kumaran: On… basically pairing on delivering stuff for default, so…

98 00:10:06.310 00:10:09.460 Demilade Agboola: Okay, sounds good. It’s in the default channel, right?

99 00:10:10.680 00:10:14.240 Mustafa Raja: That is an EP, I believe. Oh, it’s an EP channel.

100 00:10:14.880 00:10:16.140 Uttam Kumaran: Yeah, yeah, go ahead.

101 00:10:16.960 00:10:17.540 Demilade Agboola: Okay.

102 00:10:19.550 00:10:22.869 Demilade Agboola: I appreciate that, because I was, like, I hadn’t seen anything.

103 00:10:22.870 00:10:23.570 Mustafa Raja: Yes.

104 00:10:26.640 00:10:30.020 Uttam Kumaran: Cool.

105 00:10:30.560 00:10:31.579 Uttam Kumaran: What else?

106 00:10:39.000 00:10:40.669 Uttam Kumaran: Seems like mostly it, right?

107 00:10:48.020 00:10:52.259 Demilade Agboola: Sorry, just… I’m just saying that, like, Eden might have an issue.

108 00:10:52.460 00:10:57.490 Demilade Agboola: with some of their ad spend. Like, it literally just came in now. Just got tagged in it.

109 00:10:58.900 00:11:04.460 Demilade Agboola: Curious, Ashwini, are you capable to jump into that, or do you want me to jump into that?

110 00:11:05.380 00:11:07.789 Ashwini Sharma: Sorry, jump into what, Teminade?

111 00:11:08.210 00:11:10.689 Demilade Agboola: Aiden’s ad spend logic.

112 00:11:11.990 00:11:14.850 Ashwini Sharma: Oh, I, I will be, I think, Magic…

113 00:11:15.160 00:11:18.430 Ashwini Sharma: Spoon is going to take my entire day today,

114 00:11:19.280 00:11:21.789 Ashwini Sharma: This is a new thing, right?

115 00:11:22.040 00:11:25.640 Demilade Agboola: Yeah, they literally just sent the message right now, so, like, one minute ago.

116 00:11:29.510 00:11:31.290 Uttam Kumaran: Yeah, Wish is out today.

117 00:11:31.700 00:11:36.169 Demilade Agboola: Okay. Alright, in that case, I’ll hop on the… I’ll hop on that and try and get it resolved.

118 00:11:37.010 00:11:37.700 Uttam Kumaran: Okay.

119 00:11:42.060 00:11:46.840 Uttam Kumaran: Yeah, but I guess, like… For… for that, like,

120 00:11:51.350 00:11:54.430 Uttam Kumaran: Oh yeah, I guess this really couldn’t have been,

121 00:11:56.830 00:12:00.859 Uttam Kumaran: Like a metaplane thing, right? Because we can’t really see it.

122 00:12:01.800 00:12:08.820 Demilade Agboola: It’s more of a… The logic that seems to work sort of isn’t working anymore, and so now…

123 00:12:09.000 00:12:13.879 Demilade Agboola: We need to just kind of figure out, like, what about the new data that’s coming in is changing.

124 00:12:15.260 00:12:15.950 Uttam Kumaran: Okay.

125 00:12:16.220 00:12:18.289 Demilade Agboola: And Stuart is…

126 00:12:18.520 00:12:23.450 Demilade Agboola: being quite loud about it, so we just kind of need to resolve it any bits me, but…

127 00:12:24.110 00:12:25.310 Uttam Kumaran: Okay, okay, okay.

128 00:12:25.900 00:12:28.380 Uttam Kumaran: Okay, let me know where to cover on other clients.

129 00:12:28.750 00:12:30.239 Demilade Agboola: Okay, alright, sounds good.

130 00:12:31.030 00:12:31.720 Uttam Kumaran: Okay.

131 00:12:32.630 00:12:34.599 Uttam Kumaran: Alright, thanks guys.

132 00:12:35.990 00:12:36.730 Mustafa Raja: Okay.

133 00:12:37.040 00:12:38.170 Uttam Kumaran: Thanks again. Bye.