Meeting Title: Data Service Standup for today Date: 2026-01-13 Meeting participants: Awaish Kumar, Demilade Agboola, Mustafa Raja, Ashwini Sharma, Elizah Joy, Rico Rejoso, Uttam Kumaran
WEBVTT
1 00:00:18.880 ⇒ 00:00:19.890 Demilade Agboola: Hello, Rish.
2 00:00:21.400 ⇒ 00:00:22.230 Awaish Kumar: Hello.
3 00:00:23.770 ⇒ 00:00:24.899 Awaish Kumar: How you doing?
4 00:00:25.940 ⇒ 00:00:27.300 Demilade Agboola: I’m doing very well, how are you?
5 00:00:27.790 ⇒ 00:00:28.889 Awaish Kumar: I’m good as well.
6 00:00:29.740 ⇒ 00:00:30.820 Demilade Agboola: Let’s continue.
7 00:00:31.900 ⇒ 00:00:33.600 Awaish Kumar: Okay, how’s everything?
8 00:00:35.450 ⇒ 00:00:36.280 Mustafa Raja: Good.
9 00:00:37.020 ⇒ 00:00:38.310 Demilade Agboola: Hi, Mustafa.
10 00:00:38.810 ⇒ 00:00:39.860 Mustafa Raja: Hey, how are you?
11 00:00:41.020 ⇒ 00:00:42.139 Demilade Agboola: Pretty good, how are you?
12 00:00:46.420 ⇒ 00:00:48.760 Awaish Kumar: Okay, everybody here.
13 00:01:25.400 ⇒ 00:01:29.600 Awaish Kumar: Okay, so we can start off with the magic spoons.
14 00:01:30.300 ⇒ 00:01:34.320 Awaish Kumar: So how, how is everything with this client, demoing?
15 00:01:35.980 ⇒ 00:01:48.770 Demilade Agboola: So MagicSpot seems fine. We haven’t gotten feedback, on, like, access to… Prefects, or… dbt, specifically.
16 00:01:48.970 ⇒ 00:01:58.550 Demilade Agboola: So that is… Potentially another red flag that might delay us from hitting our… Targets for this week.
17 00:01:58.680 ⇒ 00:02:09.520 Demilade Agboola: But the clients are very well aware of that, and we will just keep communicating with them that, you know, we need this to be able to proceed. But in terms of…
18 00:02:09.830 ⇒ 00:02:14.610 Demilade Agboola: From their perspective, I have not gotten any negative feedback that we could be doing something better.
19 00:02:16.140 ⇒ 00:02:24.409 Awaish Kumar: Okay, so, like, in terms of tickets, I understand we are blogged on Prefect Pipe pipeline and dbt stuff.
20 00:02:25.230 ⇒ 00:02:28.549 Awaish Kumar: Is there anything we can do in the meantime, or…
21 00:02:29.220 ⇒ 00:02:30.379 Awaish Kumar: We just, like…
22 00:02:31.930 ⇒ 00:02:42.499 Demilade Agboola: I mean, in the meantime, I have access to Redshift, so Ashwini sent me access to their Redshift, so what I can do now is I can test logic changes.
23 00:02:42.720 ⇒ 00:02:46.489 Demilade Agboola: In terms of how fast it runs compared to how it was before.
24 00:02:46.670 ⇒ 00:02:48.280 Demilade Agboola: But…
25 00:02:48.280 ⇒ 00:02:48.800 Awaish Kumar: Sweetie?
26 00:02:49.020 ⇒ 00:02:54.120 Demilade Agboola: The issue is, like, things like incremental changes would be hard to implement without dbt.
27 00:02:54.760 ⇒ 00:02:58.880 Awaish Kumar: Is it possible to do, like, cost… audit on JetShift?
28 00:03:00.020 ⇒ 00:03:05.319 Demilade Agboola: Yeah, we could also try and look into that. I don’t know how, I will try and look into that.
29 00:03:05.830 ⇒ 00:03:06.590 Awaish Kumar: Okay.
30 00:03:06.700 ⇒ 00:03:15.840 Awaish Kumar: Let’s see if we can maybe come up with some audit, like, right now we are blocked, so maybe we have something to deliver for the client.
31 00:03:16.970 ⇒ 00:03:18.029 Demilade Agboola: Okay, sounds good.
32 00:03:19.500 ⇒ 00:03:20.029 Awaish Kumar: Thanks, Vinny.
33 00:03:20.030 ⇒ 00:03:35.730 Ashwini Sharma: Yeah, I have some work in MatixPone. Basically, it was to QA the data, and yesterday, a new load happened. New load happened means the new data was generated at the client side, and I’m running my pipeline, and it’s failing after some point, right? It works fine, but…
34 00:03:36.280 ⇒ 00:03:40.620 Ashwini Sharma: when there are too many operations of, load into redshift.
35 00:03:40.940 ⇒ 00:03:45.349 Ashwini Sharma: It kind of fails, and it’s unpredictable at what point it will fail, so…
36 00:03:45.510 ⇒ 00:03:53.599 Ashwini Sharma: I’ve been working today on that only. I think I’ll try a few approaches. I’ll batch a few operations together, and then see if it can
37 00:03:53.870 ⇒ 00:04:11.390 Ashwini Sharma: you know, I can optimize the overall load operations. Initially, I had, like, all the operations batched together in a one single data frame, and even that failed, because there was too much of data. So I split it into individual data frames, like, for every URL that we extract data from.
38 00:04:11.540 ⇒ 00:04:15.009 Ashwini Sharma: I was loading that, and that is also failing after some time, right? So…
39 00:04:15.280 ⇒ 00:04:18.780 Ashwini Sharma: Now I’m thinking of batching them into, yeah.
40 00:04:19.829 ⇒ 00:04:24.509 Awaish Kumar: Okay, yeah, like, for individual tickets like this, if you need, like, any…
41 00:04:24.689 ⇒ 00:04:31.249 Awaish Kumar: someone to pair a program with yourself, something like that. You can, like, feel free to, like, start a meeting or something.
42 00:04:31.569 ⇒ 00:04:32.239 Awaish Kumar: Pomp.
43 00:04:33.079 ⇒ 00:04:41.719 Awaish Kumar: So we can see if we can get to something. But otherwise, like, we are on track on the client, right? In terms of…
44 00:04:41.839 ⇒ 00:04:42.689 Awaish Kumar: Yeah.
45 00:04:42.690 ⇒ 00:04:50.569 Ashwini Sharma: Yeah, Magic Spoon is good, and I have that QA task that I’ll do once I am done with this loading. This is just…
46 00:04:50.670 ⇒ 00:05:07.659 Ashwini Sharma: So, what Michael has done is he has extracted a CSV that’s on a previous date, and then he loaded that into a table, so I’ll have to do a QA between what data that he has loaded and what data is there currently. There will be some discrepancies, because the data are loaded in two different time frames.
47 00:05:07.830 ⇒ 00:05:12.000 Ashwini Sharma: But as long as it matches close enough, I think we should be good.
48 00:05:12.510 ⇒ 00:05:19.130 Awaish Kumar: Okay, let’s, like, let’s update the linear to reflect that, like, what you’re working on and what you will be doing next.
49 00:05:19.260 ⇒ 00:05:21.149 Ashwini Sharma: I’ll add those tickets.
50 00:05:21.150 ⇒ 00:05:21.780 Awaish Kumar: Okay.
51 00:05:22.140 ⇒ 00:05:23.659 Awaish Kumar: Alright, thank you.
52 00:05:24.070 ⇒ 00:05:31.409 Awaish Kumar: Okay, we can then move on to the HIDRA stuff. So, Hydra, I think, like, SOWs are done.
53 00:05:32.560 ⇒ 00:05:41.129 Awaish Kumar: And, are being reviewed by Utong and Robert. Apart from that, like, she asked for a few things.
54 00:05:41.230 ⇒ 00:05:47.699 Awaish Kumar: By, like, around, like, the end of day yesterday, so I will take a look at those.
55 00:05:48.520 ⇒ 00:05:51.929 Awaish Kumar: at, seeing what I can do for her.
56 00:05:53.900 ⇒ 00:05:54.840 Awaish Kumar: So, yeah.
57 00:05:54.840 ⇒ 00:06:00.079 Uttam Kumaran: Yeah, I’m gonna… I’m gonna bring up the two SOW… I’m gonna bring up the SOW in,
58 00:06:00.340 ⇒ 00:06:04.919 Uttam Kumaran: In our strategy stand-up, so I should have an answer for you by then on what’s planned.
59 00:06:05.310 ⇒ 00:06:05.960 Awaish Kumar: Okay.
60 00:06:06.610 ⇒ 00:06:07.460 Awaish Kumar: Perfect.
61 00:06:07.680 ⇒ 00:06:16.650 Awaish Kumar: Okay. Apart from that, we are good on this client, and then we have, CTA stuff?
62 00:06:18.170 ⇒ 00:06:20.059 Uttam Kumaran: Yeah, so I think,
63 00:06:20.210 ⇒ 00:06:29.729 Uttam Kumaran: Ashwini, wondering if you could help me draft an update, or if you can send me an update from your side on Slack, and then I can go ahead and send that into their Slack.
64 00:06:30.730 ⇒ 00:06:37.049 Ashwini Sharma: Sure, yeah. I think with CT, we need to sit with them and identify… oh, not sit with them, basically,
65 00:06:37.580 ⇒ 00:06:42.909 Ashwini Sharma: For CTA, I think the next step was to get in touch with this guy, Kyle, right? And…
66 00:06:43.160 ⇒ 00:06:46.059 Ashwini Sharma: Start on the next phase of the work.
67 00:06:46.540 ⇒ 00:06:47.230 Uttam Kumaran: Yeah, so…
68 00:06:47.230 ⇒ 00:06:52.819 Ashwini Sharma: That’s what I’m saying, if you could just help me draft, like, I just need to know the status of your items.
69 00:06:52.840 ⇒ 00:06:54.570 Uttam Kumaran: And then I’ll get that booked.
70 00:06:55.040 ⇒ 00:06:55.660 Awaish Kumar: Sure.
71 00:06:55.660 ⇒ 00:06:56.180 Ashwini Sharma: Yeah.
72 00:06:56.610 ⇒ 00:06:57.830 Uttam Kumaran: Alright, perfect.
73 00:06:58.390 ⇒ 00:07:00.809 Awaish Kumar: Let’s also reflect that, if you are…
74 00:07:01.370 ⇒ 00:07:08.279 Awaish Kumar: trying to meet with somebody, or there are meetings scheduled. Let’s put them in the linear.
75 00:07:09.950 ⇒ 00:07:10.770 Uttam Kumaran: Okay.
76 00:07:14.170 ⇒ 00:07:17.520 Awaish Kumar: Then on Element.
77 00:07:18.060 ⇒ 00:07:20.460 Uttam Kumaran: So, kind of, I…
78 00:07:20.690 ⇒ 00:07:25.920 Awaish Kumar: On the retail side, I added the data in that spreadsheet.
79 00:07:26.560 ⇒ 00:07:34.839 Awaish Kumar: It is kind of… meaningless until we know the location ID, like, what is the address for that location?
80 00:07:35.040 ⇒ 00:07:37.069 Awaish Kumar: Or the… at least the state?
81 00:07:37.210 ⇒ 00:07:45.730 Awaish Kumar: So, I have drafted an email for Emerson for that, and we have it, that draft document with them for you to review.
82 00:07:46.430 ⇒ 00:07:52.150 Awaish Kumar: And… like, the… also the two emails are still… For you.
83 00:07:52.280 ⇒ 00:07:55.649 Awaish Kumar: Like, are in that document for your review?
84 00:07:55.650 ⇒ 00:07:56.620 Uttam Kumaran: Okay.
85 00:07:56.620 ⇒ 00:07:57.340 Awaish Kumar: Yep.
86 00:07:57.910 ⇒ 00:08:04.329 Awaish Kumar: So… That’s on the retail side, and then I met with Amber.
87 00:08:04.590 ⇒ 00:08:07.639 Awaish Kumar: She also put together a proposal
88 00:08:08.100 ⇒ 00:08:11.469 Awaish Kumar: I think you also need to review that, like.
89 00:08:11.470 ⇒ 00:08:14.110 Uttam Kumaran: Yeah, we’re gonna… we’re gonna take a look at that in the…
90 00:08:14.350 ⇒ 00:08:16.259 Awaish Kumar: Strategy meeting as well.
91 00:08:16.870 ⇒ 00:08:17.480 Awaish Kumar: Okay.
92 00:08:18.300 ⇒ 00:08:28.449 Awaish Kumar: Yeah, apart from that… So, today I’m… I will be focusing on wholesale, whatever we discussed yesterday.
93 00:08:30.400 ⇒ 00:08:39.830 Awaish Kumar: So I will be working on coming, like, coming up with a table which can answer whatever questions she are looking to answer, and then we can maybe
94 00:08:40.150 ⇒ 00:08:43.269 Awaish Kumar: try to come up with, Excel reports.
95 00:08:43.380 ⇒ 00:08:44.500 Awaish Kumar: Oh, she has.
96 00:08:45.520 ⇒ 00:08:46.690 Awaish Kumar: From the wholesale side.
97 00:08:50.910 ⇒ 00:08:53.610 Awaish Kumar: Yeah, that’s kind of update.
98 00:08:55.210 ⇒ 00:08:58.539 Awaish Kumar: And today we have a meeting, I think, with,
99 00:09:01.140 ⇒ 00:09:05.689 Awaish Kumar: With the CX team, so I will be also working on to generate an agenda for that.
100 00:09:06.620 ⇒ 00:09:07.380 Uttam Kumaran: Okay, okay.
101 00:09:08.010 ⇒ 00:09:08.620 Awaish Kumar: Okay.
102 00:09:10.130 ⇒ 00:09:11.250 Awaish Kumar: Oh, man.
103 00:09:12.010 ⇒ 00:09:17.220 Awaish Kumar: Apart from Element, there’s… I don’t think there’s anything on urban stems.
104 00:09:17.750 ⇒ 00:09:22.900 Awaish Kumar: And also, there’s, nothing on ABC.
105 00:09:25.160 ⇒ 00:09:28.790 Uttam Kumaran: Yeah, I escalated the BigQuery stuff, so…
106 00:09:29.280 ⇒ 00:09:32.509 Uttam Kumaran: See if that helps us, but yeah, nothing else on ABC.
107 00:09:32.940 ⇒ 00:09:34.380 Uttam Kumaran: Okay.
108 00:09:34.900 ⇒ 00:09:46.040 Uttam Kumaran: Once, like, once we get access to BigQuery, there’s two sources that I’m getting API access to, in addition to GA, that I’ll need just help landing into BigQuery, so…
109 00:09:46.610 ⇒ 00:09:47.260 Awaish Kumar: Okay.
110 00:09:49.660 ⇒ 00:09:57.219 Awaish Kumar: Okay, so maybe you can… We can have some tickets for that in Linea.
111 00:09:57.760 ⇒ 00:09:58.450 Uttam Kumaran: Yeah.
112 00:09:59.800 ⇒ 00:10:02.359 Uttam Kumaran: I’ll work with… I’ll work with Amber to make those.
113 00:10:02.730 ⇒ 00:10:03.380 Awaish Kumar: Okay.
114 00:10:04.780 ⇒ 00:10:09.630 Awaish Kumar: And, in terms of… yeah, then for default.
115 00:10:09.840 ⇒ 00:10:11.040 Awaish Kumar: Demi?
116 00:10:11.480 ⇒ 00:10:12.880 Awaish Kumar: We wanna give updates.
117 00:10:14.270 ⇒ 00:10:19.529 Demilade Agboola: So in terms of client interaction, client seems fine so far.
118 00:10:19.650 ⇒ 00:10:28.650 Demilade Agboola: Goal today is to… our goal this week is to keep, being in their faces with, like, end products.
119 00:10:28.870 ⇒ 00:10:34.370 Demilade Agboola: plan is to send, like, insights into their Salesforce data.
120 00:10:34.820 ⇒ 00:10:47.470 Demilade Agboola: This week, as well as also send all the data sources that we need access to, based off our Gantt chat, as well as the,
121 00:10:47.830 ⇒ 00:10:54.339 Demilade Agboola: information they sent over in the initial document. Also, we do plan to be able to…
122 00:10:56.630 ⇒ 00:11:08.560 Demilade Agboola: we plan to be able to send the, yeah, Gantt chart over, as well as the plan of attack, like, the… how we plan to go about things over the next couple of months. So, that’s what… that’s kind of…
123 00:11:08.660 ⇒ 00:11:09.899 Demilade Agboola: The pond this week.
124 00:11:12.380 ⇒ 00:11:13.180 Awaish Kumar: Okay.
125 00:11:15.530 ⇒ 00:11:16.899 Awaish Kumar: Yep, Mustafa?
126 00:11:17.320 ⇒ 00:11:24.909 Mustafa Raja: Yeah, so for me, I, yesterday I worked on, data architecture diagram. I received some comments on, on that promote them.
127 00:11:25.110 ⇒ 00:11:30.480 Mustafa Raja: I’ve worked on it a little bit more, and then we received an ad hoc request.
128 00:11:30.720 ⇒ 00:11:36.960 Mustafa Raja: From default team, that is, this, 213, and I’ll be working on this today.
129 00:11:39.230 ⇒ 00:11:39.990 Awaish Kumar: Okay.
130 00:11:39.990 ⇒ 00:11:47.370 Mustafa Raja: And then, yeah, for the Gantt chart, I need an… I need a review from Utam. I’ve mentioned that in EP Channel.
131 00:11:48.300 ⇒ 00:11:48.920 Awaish Kumar: Okay.
132 00:11:49.460 ⇒ 00:11:54.779 Awaish Kumar: And, okay, we also were looking for some…
133 00:11:55.360 ⇒ 00:12:00.130 Awaish Kumar: access to some S3 bucket or something, so… No.
134 00:12:00.130 ⇒ 00:12:08.079 Mustafa Raja: I believe we would be requesting for, we would be requesting access for all of the data sources that they would have.
135 00:12:08.190 ⇒ 00:12:19.760 Mustafa Raja: You know, and that is a major risk here, because if the access is delayed, our plans in the Gantt chart would all be delayed.
136 00:12:19.960 ⇒ 00:12:24.070 Mustafa Raja: So this is a major risk, here.
137 00:12:25.470 ⇒ 00:12:27.560 Awaish Kumar: Sorry, like, what’s the… what’s the risk?
138 00:12:27.560 ⇒ 00:12:34.620 Mustafa Raja: Access to the sources, data sources that we would need, to work on… on our streams.
139 00:12:36.020 ⇒ 00:12:39.159 Awaish Kumar: Okay, so you’re saying if we don’t get the access, then we are on risk of…
140 00:12:39.160 ⇒ 00:12:40.770 Mustafa Raja: Yeah, yeah, yeah, delay.
141 00:12:40.770 ⇒ 00:12:41.829 Awaish Kumar: Yeah, okay.
142 00:12:44.640 ⇒ 00:12:49.980 Mustafa Raja: I believe, Demilade is taking on that, meeting with, stakeholders to get access.
143 00:12:50.930 ⇒ 00:12:58.650 Demilade Agboola: Yes, so I’m trying to get FaceTime with Caitlin today. I messaged her, she hasn’t yet responded, but I will just follow up again after stand-up.
144 00:12:58.840 ⇒ 00:13:06.549 Demilade Agboola: Hopefully she has some time, so we are able to, just talk about that and get some plan of action in terms of
145 00:13:07.020 ⇒ 00:13:08.630 Demilade Agboola: access.
146 00:13:12.010 ⇒ 00:13:22.219 Awaish Kumar: Okay, so basically we are working on identifying data sources, sales force modeling, and coming up with an ETL plan, like, how we are going to ingest the data.
147 00:13:23.310 ⇒ 00:13:24.070 Demilade Agboola: Yes.
148 00:13:24.390 ⇒ 00:13:25.070 Awaish Kumar: Okay.
149 00:13:28.380 ⇒ 00:13:33.200 Awaish Kumar: Okay, so… That’s it, I think.
150 00:13:35.370 ⇒ 00:13:45.120 Uttam Kumaran: One thing, one thing, Rico, that could be helpful, and I don’t know where we need to talk about this, but just to make sure we’re understanding when contracts are up.
151 00:13:45.790 ⇒ 00:13:52.369 Uttam Kumaran: Like, for example, I just would like to know, like, when the next Magic Spoon contract is up.
152 00:13:52.510 ⇒ 00:13:56.210 Uttam Kumaran: I know default, we just renewed, but that’s maybe something that, like.
153 00:13:57.370 ⇒ 00:14:06.410 Uttam Kumaran: 60 days, like, it’s basically, like, I kind of wanted to… 60 days, every, like, probably 15 days, we just need an alert somewhere that’s, like.
154 00:14:06.830 ⇒ 00:14:10.910 Uttam Kumaran: 60 days, 45 days, 30 days before contract.
155 00:14:11.470 ⇒ 00:14:14.829 Uttam Kumaran: By 30 days, I do want to try to get something signed.
156 00:14:15.000 ⇒ 00:14:19.100 Uttam Kumaran: So, I would like just for us to know when those are coming up.
157 00:14:19.620 ⇒ 00:14:25.290 Uttam Kumaran: If that’s something that, ops team can work on, and that can be sent into…
158 00:14:25.700 ⇒ 00:14:28.929 Uttam Kumaran: sales, I don’t mind, but as long as we know, like.
159 00:14:29.800 ⇒ 00:14:34.099 Uttam Kumaran: 60 days out from every contract, I would like to know, like, okay, that’s…
160 00:14:34.480 ⇒ 00:14:36.339 Uttam Kumaran: We need to figure out the renewal.
161 00:14:37.160 ⇒ 00:14:43.939 Rico Rejoso: Yeah, I could probably send in a notification, either in sales or on the service lead.
162 00:14:44.100 ⇒ 00:14:52.309 Rico Rejoso: I mean, client success, or CSO, channel, to inform them about the renewal or the upcoming end of contract for clients. Would that work?
163 00:14:52.920 ⇒ 00:14:53.530 Uttam Kumaran: Okay.
164 00:14:53.680 ⇒ 00:14:59.250 Uttam Kumaran: Yeah, that’s fine. I mean, if that’s something that we can do, like, via HubSpot, like an automation.
165 00:14:59.400 ⇒ 00:15:00.959 Uttam Kumaran: That would be ideal.
166 00:15:02.100 ⇒ 00:15:02.610 Rico Rejoso: Yep.
167 00:15:02.990 ⇒ 00:15:05.189 Rico Rejoso: I’ll look into it, yes, for the automation.
168 00:15:05.510 ⇒ 00:15:09.959 Uttam Kumaran: Yeah, like, 60, 45, 30, 15 would be great.
169 00:15:11.600 ⇒ 00:15:12.670 Rico Rejoso: Okay, gotcha.
170 00:15:12.770 ⇒ 00:15:13.810 Rico Rejoso: Take note of that.
171 00:15:18.110 ⇒ 00:15:19.780 Awaish Kumar: Okay,
172 00:15:20.160 ⇒ 00:15:26.939 Awaish Kumar: Yeah, apart from that, I didn’t have a time to, like, go into the Eden Remo platform yet.
173 00:15:27.120 ⇒ 00:15:29.839 Awaish Kumar: But I’ll have to, like, come up with a…
174 00:15:30.800 ⇒ 00:15:34.930 Awaish Kumar: Plan, like, this week on how we are going to…
175 00:15:35.060 ⇒ 00:15:39.609 Awaish Kumar: like, replace the Bask and get data from the remote platform.
176 00:15:43.120 ⇒ 00:15:45.920 Awaish Kumar: So, yeah, there’s the update for Eden, but yeah.
177 00:15:48.840 ⇒ 00:15:55.779 Awaish Kumar: Okay, alright, that’s… that’s it from my side. So, see you, everyone, in the… In the Slack.
178 00:15:57.530 ⇒ 00:15:58.540 Uttam Kumaran: Okay, thank you.
179 00:15:58.540 ⇒ 00:15:59.639 Awaish Kumar: Here we…
180 00:16:00.150 ⇒ 00:16:00.950 Mustafa Raja: Thank you.