Meeting Title: US x BF | Standup Date: 2025-06-13 Meeting participants: Emily Giant, Caio Velasco, Demilade Agboola, Amber Lin
WEBVTT
1 00:00:23.620 ⇒ 00:00:24.650 Caio Velasco: Hello! Again.
2 00:00:24.650 ⇒ 00:00:27.827 Emily Giant: I was gonna say, well, look who it is.
3 00:00:29.290 ⇒ 00:00:32.509 Emily Giant: You have any plans this weekend? Are you doing anything fun.
4 00:00:33.100 ⇒ 00:00:40.240 Caio Velasco: And this weekend. Well, I might see that friend tomorrow from Italy and
5 00:00:40.490 ⇒ 00:00:49.140 Caio Velasco: Sunday I might play football, but I still have to see if I can get back to it, because I haven’t been playing for a month, so maybe to go easy. But
6 00:00:49.560 ⇒ 00:00:51.080 Caio Velasco: those are my plans.
7 00:00:51.460 ⇒ 00:00:55.320 Emily Giant: Nice. So you and demalade both are footballers.
8 00:00:56.020 ⇒ 00:00:57.390 Caio Velasco: Yes, and he’s like.
9 00:00:57.390 ⇒ 00:00:58.399 Emily Giant: Into it.
10 00:00:58.940 ⇒ 00:01:02.676 Caio Velasco: I am. I’m really into it like a legit Brazilian.
11 00:01:03.553 ⇒ 00:01:12.109 Emily Giant: I guess, like Brazilians and Europeans both, and I guess Nigerians as well in them. A lot.
12 00:01:12.110 ⇒ 00:01:12.980 Caio Velasco: Yeah, yeah.
13 00:01:14.106 ⇒ 00:01:19.390 Emily Giant: I love watching it, but I am so bad like it just never.
14 00:01:19.620 ⇒ 00:01:30.530 Emily Giant: I’m good at sports that are like, if you’re separated from the other people like volleyball or gymnastics, but the second, I’m like having to be near the other team. I fall apart. Not good.
15 00:01:32.080 ⇒ 00:01:36.530 Caio Velasco: Yeah, no, I I really like people all my, I mean soccer all my life.
16 00:01:37.147 ⇒ 00:01:42.430 Caio Velasco: Yeah, since very young. And my father also was used to play professionally, actually.
17 00:01:42.430 ⇒ 00:01:43.310 Emily Giant: Oh, wow!
18 00:01:43.310 ⇒ 00:01:48.960 Caio Velasco: So it’s like in the family, I guess. Yeah, okay.
19 00:01:48.960 ⇒ 00:01:51.840 Emily Giant: That’s very cool. Who did he play for.
20 00:01:52.620 ⇒ 00:02:03.189 Caio Velasco: My father played for well, the name of the most important ones would be America, which is the same name, in Rio and
21 00:02:03.610 ⇒ 00:02:13.410 Caio Velasco: Vasco, and those are League a. So the the important ones in Brazil. But there was a long time ago, like in the seventies, sixties. So
22 00:02:13.730 ⇒ 00:02:14.330 Caio Velasco: okay.
23 00:02:14.330 ⇒ 00:02:25.659 Emily Giant: Yeah. My grandfather played American football for the bears and the 40 niners, but it was back when they had like leather helmets and got paid in.
24 00:02:27.200 ⇒ 00:02:37.190 Emily Giant: So yeah, so like it. It sounds very glamorous, but I’m like, Oh, no, no, no, this was not in a time where athletes were paid.
25 00:02:39.130 ⇒ 00:02:43.440 Emily Giant: Had protective headgear. You just were running around getting concussions.
26 00:02:44.430 ⇒ 00:02:49.500 Caio Velasco: Exactly exactly, and I always tell people that if if my father was born
27 00:02:50.100 ⇒ 00:02:55.586 Caio Velasco: I don’t know. 15 years to 20 years after, I wouldn’t be working, probably.
28 00:02:55.980 ⇒ 00:03:00.506 Emily Giant: Yes, right? I sorry I have to screenshot what’s happening over here with amber.
29 00:03:02.260 ⇒ 00:03:10.117 Amber Lin: We had our. We had our morning company meeting, and today’s icebreaker was fun backgrounds. And
30 00:03:11.230 ⇒ 00:03:15.059 Amber Lin: ramalade was a pirate. Earlier.
31 00:03:15.090 ⇒ 00:03:15.690 Emily Giant: That is.
32 00:03:16.780 ⇒ 00:03:22.489 Demilade Agboola: I was a pirate, and it was. It was fun. I put like a moustache, on which is, it? Was something else.
33 00:03:22.490 ⇒ 00:03:22.909 Amber Lin: Oh no!
34 00:03:24.140 ⇒ 00:03:27.873 Emily Giant: I love it so much. Those cats ranged.
35 00:03:32.716 ⇒ 00:03:45.093 Emily Giant: I’m dying. Oh, my God, it’s great! Well, yeah, those are amazing. I feel like that’s the most important thing that’s gonna happen during this meeting today. So.
36 00:03:45.917 ⇒ 00:04:00.229 Amber Lin: I’m glad some entertainment. Let me go open up our linear and then we can can everyone update their issues if they have the time right now when I, as I pull my linear up.
37 00:04:02.840 ⇒ 00:04:05.440 Emily Giant: So Kyle, for the
38 00:04:06.320 ⇒ 00:04:09.779 Emily Giant: the email that I just sent. So we just need to.
39 00:04:10.180 ⇒ 00:04:14.320 Emily Giant: I need to go into stitch and make sure that those are actually turned off.
40 00:04:14.600 ⇒ 00:04:18.810 Emily Giant: and then that ticket can move into done.
41 00:04:19.810 ⇒ 00:04:20.420 Caio Velasco: Perfect.
42 00:04:26.740 ⇒ 00:04:31.640 Emily Giant: I’m almost done with our dashboards. I’ve sent communication to.
43 00:04:31.640 ⇒ 00:04:32.110 Amber Lin: Hmm.
44 00:04:32.110 ⇒ 00:04:37.999 Emily Giant: All of the stakeholders that still have outstanding dashboards. So I’m just waiting to hear back from them. And then that one’s done too.
45 00:04:45.440 ⇒ 00:04:48.210 Amber Lin: Awesome, and that one’s for next week.
46 00:04:53.390 ⇒ 00:04:55.409 Amber Lin: they’re looking at these.
47 00:04:57.120 ⇒ 00:05:00.589 Amber Lin: So are these up to date, these 2.
48 00:05:05.980 ⇒ 00:05:09.130 Demilade Agboola: Yeah, I’m actually making changes like, I’m updating them right now.
49 00:05:11.390 ⇒ 00:05:13.270 Demilade Agboola: I am updating them right now.
50 00:05:13.270 ⇒ 00:05:15.440 Amber Lin: Oh, okay, okay, sounds good.
51 00:05:17.370 ⇒ 00:05:20.019 Amber Lin: Okay. Let me also go update my ticket. Then.
52 00:06:30.460 ⇒ 00:06:31.840 Amber Lin: okay.
53 00:06:33.510 ⇒ 00:06:45.740 Amber Lin: Alright, I guess, just for checking on these these 2?
54 00:06:46.276 ⇒ 00:06:50.309 Amber Lin: Kyle, do you think they’re on track to get done for today?
55 00:06:53.150 ⇒ 00:06:59.159 Caio Velasco: Think the 1st one. Yes, right, Emily, I think we have all
56 00:06:59.870 ⇒ 00:07:05.790 Caio Velasco: the ones to be deprecated already with the wine, with the marked as yes.
57 00:07:06.040 ⇒ 00:07:09.519 Caio Velasco: maybe there’s like some that are still missing, or
58 00:07:12.610 ⇒ 00:07:13.440 Caio Velasco: just.
59 00:07:17.810 ⇒ 00:07:20.570 Emily Giant: Yeah, I think we can mark that as done when we.
60 00:07:21.850 ⇒ 00:07:23.360 Caio Velasco: Hopefully, yeah, right.
61 00:07:23.360 ⇒ 00:07:30.919 Amber Lin: Yeah, cause. Right now, I have this. This one is for Emily to deprecate. So once we deprecate, then we can mark that one as done.
62 00:07:30.920 ⇒ 00:07:31.750 Caio Velasco: What about?
63 00:07:31.750 ⇒ 00:07:35.450 Amber Lin: About these 2. Do you think they’re on track to be done for today?
64 00:07:36.720 ⇒ 00:07:37.240 Emily Giant: Yes.
65 00:07:38.550 ⇒ 00:07:39.220 Caio Velasco: If not.
66 00:07:39.220 ⇒ 00:07:45.969 Emily Giant: Well, the Dvt models is like half done. We went we went through this this morning. Kyle, what do you think.
67 00:07:47.378 ⇒ 00:07:50.450 Caio Velasco: Well, I would need Monday for that.
68 00:07:51.930 ⇒ 00:07:52.640 Amber Lin: This one.
69 00:07:53.840 ⇒ 00:07:57.480 Emily Giant: We added columns, so it’s going to take a little longer. But.
70 00:07:57.910 ⇒ 00:07:58.250 Amber Lin: -
71 00:07:58.250 ⇒ 00:08:02.929 Emily Giant: You’ll have more information that you need when that task is complete.
72 00:08:05.180 ⇒ 00:08:05.850 Amber Lin: Okay.
73 00:08:06.430 ⇒ 00:08:16.830 Amber Lin: sounds good. What about for this one? I know we have all the tables without dvt usage. Do we need anything else before we turn off and deprecate them.
74 00:08:18.570 ⇒ 00:08:19.160 Emily Giant: No.
75 00:08:22.950 ⇒ 00:08:26.920 Amber Lin: So we’re good to say, turn them off right.
76 00:08:28.310 ⇒ 00:08:31.880 Emily Giant: Hayo. Do you think we should wait for any responses from the stakeholders?
77 00:08:34.010 ⇒ 00:08:36.909 Caio Velasco: Maybe right? Okay, sounds good.
78 00:08:36.919 ⇒ 00:08:38.487 Caio Velasco: We had marked them.
79 00:08:42.279 ⇒ 00:08:48.449 Caio Velasco: how? Well, just just one thing. Maybe I’m confused. This with another one.
80 00:08:49.199 ⇒ 00:08:52.009 Caio Velasco: What is the go? What is the title? Again? Sorry.
81 00:08:53.261 ⇒ 00:08:57.230 Amber Lin: The title is Turn ingestion tables without dvt usage.
82 00:08:58.040 ⇒ 00:09:03.180 Caio Velasco: Okay, so that’s on top of what we already marked.
83 00:09:03.890 ⇒ 00:09:06.229 Caio Velasco: In the in the ingestion work.
84 00:09:08.980 ⇒ 00:09:18.590 Caio Velasco: because we already have all the ingestion. I mean, not the tables, right? We have the tools, but not necessarily the tables themselves. So I think that’s more like a.
85 00:09:19.170 ⇒ 00:09:21.849 Caio Velasco: The granularity level is different. For network.
86 00:09:21.950 ⇒ 00:09:24.640 Caio Velasco: Does that make sense.
87 00:09:26.590 ⇒ 00:09:28.400 Amber Lin: I I think.
88 00:09:29.300 ⇒ 00:09:30.040 Caio Velasco: That that.
89 00:09:30.040 ⇒ 00:09:32.599 Amber Lin: Not the most sure.
90 00:09:32.930 ⇒ 00:09:34.970 Caio Velasco: Yeah, yeah, they will add it.
91 00:09:36.430 ⇒ 00:09:41.780 Caio Velasco: we have marked all the ingestion tools that had to be turned off.
92 00:09:42.220 ⇒ 00:09:45.089 Caio Velasco: Now we have to fix the Dbt
93 00:09:45.725 ⇒ 00:09:50.270 Caio Velasco: user- usage work which Emily still doing. And
94 00:09:50.680 ⇒ 00:09:57.110 Caio Velasco: and then we have to go back and turn off new ones? Or is it something related to the tables of the ones.
95 00:09:57.800 ⇒ 00:09:59.850 Caio Velasco: That’s why I’m a bit confused.
96 00:10:01.370 ⇒ 00:10:03.120 Demilade Agboola: Sure. What? What task are we talking about?
97 00:10:04.710 ⇒ 00:10:05.480 Demilade Agboola: Message?
98 00:10:06.340 ⇒ 00:10:07.180 Demilade Agboola: The 1, 1, 4.
99 00:10:08.390 ⇒ 00:10:09.859 Caio Velasco: Yeah. The one on 4.
100 00:10:10.760 ⇒ 00:10:13.060 Demilade Agboola: Oh, yeah, so so this this is about.
101 00:10:13.220 ⇒ 00:10:33.079 Demilade Agboola: I won’t necessarily ingestion tables, but like redshift tables. So the idea is, if we are looking at redshift tables that don’t have any dbt usage, and we know from the other tasks that they’re not be being used in any other scenario, we can just turn them off and deprecate them.
102 00:10:34.070 ⇒ 00:10:42.579 Caio Velasco: Okay. So this would also be after Emily finished the other parts, and then I can do this with the other. One Monday. I I believe it’s doable.
103 00:10:45.180 ⇒ 00:10:53.760 Amber Lin: Why do we have to wait for Emily to do the other one? I thought I thought also already did the rest of tables without dvp usage.
104 00:10:59.240 ⇒ 00:11:00.680 Caio Velasco: Like it is a dog.
105 00:11:01.449 ⇒ 00:11:04.300 Caio Velasco: That was the tab that I was asking him today about.
106 00:11:04.840 ⇒ 00:11:10.400 Caio Velasco: Okay. So that was my bad. Yeah, I misunderstood, like ingestion with red shipped.
107 00:11:10.540 ⇒ 00:11:13.749 Amber Lin: Sorry the the title was not clear. It’s not your fault.
108 00:11:14.180 ⇒ 00:11:16.770 Caio Velasco: No, no problem. But I get a point now.
109 00:11:17.610 ⇒ 00:11:20.379 Caio Velasco: Yeah. So I think they would have to wait a little bit.
110 00:11:20.820 ⇒ 00:11:23.529 Caio Velasco: Then I will have to go through that table and then do this.
111 00:11:26.740 ⇒ 00:11:35.509 Amber Lin: Okay, sounds good. So then it’s it’s just you’ll have 3 things for Monday.
112 00:11:36.870 ⇒ 00:11:37.863 Caio Velasco: That’s it.
113 00:11:38.940 ⇒ 00:11:47.570 Amber Lin: I think this one is quick, this one once Emily finished rating, that that will just be a quick table join. So I think these are all pretty small tasks. So it should be fine.
114 00:11:48.920 ⇒ 00:11:52.430 Amber Lin: Okay? Sounds good. Definitely. These 2 are on track, right?
115 00:11:52.540 ⇒ 00:11:54.960 Amber Lin: I don’t need to worry about them for today.
116 00:12:03.040 ⇒ 00:12:04.439 Caio Velasco: The matter. You’re on mute.
117 00:12:05.600 ⇒ 00:12:06.700 Caio Velasco: Gotcha.
118 00:12:07.900 ⇒ 00:12:09.929 Demilade Agboola: Apologies. I say, yes, they’re on track.
119 00:12:09.930 ⇒ 00:12:11.449 Demilade Agboola: Oh, yes, okay.
120 00:12:12.120 ⇒ 00:12:17.559 Demilade Agboola: I’ll send one to within the next hour hour and a half one. It will be like by close of business.
121 00:12:17.750 ⇒ 00:12:23.149 Amber Lin: Okay. Sounds good. If it’s on track I won’t. I won’t need to dig deeper.
122 00:12:23.350 ⇒ 00:12:27.120 Amber Lin: I guess. Emily also said, this one will be done today.
123 00:12:27.250 ⇒ 00:12:32.680 Emily Giant: This one. We’re waiting on stakeholders. So there’s not much we can do, and.
124 00:12:37.480 ⇒ 00:12:46.120 Emily Giant: I’m guessing that it will be 99% done today, and that there will be like one team that will hold out and not do it.
125 00:12:46.120 ⇒ 00:12:46.600 Amber Lin: I think.
126 00:12:46.600 ⇒ 00:12:48.409 Emily Giant: How these things go at urban stuff.
127 00:12:48.410 ⇒ 00:12:54.299 Amber Lin: I see, I see what’s what’s this one? I think this one’s new.
128 00:12:54.300 ⇒ 00:13:03.090 Amber Lin: it’s new. So I actually closed out one of the tickets that was marked to be done today, because I talked with Alex and demalade on.
129 00:13:03.200 ⇒ 00:13:31.270 Emily Giant: Thursday, and we decided that, like, it was actually not a data problem. You were right. After our chat in the morning I went to Alex, and was like, well, what I’m doing is covering up a slow saligo flow that’s making our sales duplicate for up to 5 h. So he’s going to make a fix on the the Dev side, and we’re going to monitor from there. But, like, actually, that’s why Afs was going into the negatives for the.
130 00:13:31.270 ⇒ 00:13:32.150 Amber Lin: Good morning!
131 00:13:32.150 ⇒ 00:13:40.819 Emily Giant: There are still fringe cases that as we’re reviewing the inventory, mart, Cayo and demode.
132 00:13:40.950 ⇒ 00:13:42.599 Emily Giant: I would love for them to like
133 00:13:42.770 ⇒ 00:13:52.450 Emily Giant: better understand, so that when we build out the logic we can make sure to account for the actual data scenarios with the ticket that I had made. Was like
134 00:13:52.880 ⇒ 00:13:56.039 Emily Giant: not actually a data problem. At the end of the day.
135 00:13:56.270 ⇒ 00:13:57.170 Amber Lin: Okay.
136 00:13:57.170 ⇒ 00:13:57.490 Emily Giant: Yeah.
137 00:13:57.490 ⇒ 00:14:03.899 Amber Lin: Okay. Sounds good. I don’t think we’re gonna do this this week because it’s already at the end of this week.
138 00:14:03.900 ⇒ 00:14:05.530 Amber Lin: So market advice.
139 00:14:08.319 ⇒ 00:14:12.220 Amber Lin: Okay, she’s gonna say that you already.
140 00:14:12.220 ⇒ 00:14:15.130 Demilade Agboola: Some context for that ticket.
141 00:14:15.470 ⇒ 00:14:31.639 Demilade Agboola: like when we’re having a working session. I just real. I just thought about it and realized that like, we’re constantly just like on the back foot, constantly trying to figure out the different ways afs can flow. So being able to have like a even if it’s just a sticky note, and just going like when a product gets to
142 00:14:32.476 ⇒ 00:14:33.630 Demilade Agboola: the center.
143 00:14:34.120 ⇒ 00:14:50.089 Demilade Agboola: what can happen? What are all the possible scenarios? So that’s the flow chart so like? What are all the possible scenarios that the merchandise, like a flower, can go through? Can you be rejected, can be accepted, can be used for this and just being able to create that like high level
144 00:14:50.300 ⇒ 00:14:56.570 Demilade Agboola: understanding of that. Therefore we can then make code for like, it’s in different scenarios.
145 00:14:56.967 ⇒ 00:15:20.470 Demilade Agboola: So that we don’t go to a situation where things are in the negative. And then we’re responding to that and obviously being able to have that conversation with Alex. Let like makes Alex go. Actually, no, we can actually fix some of these things from here. So I think, being able to have that like flow charts would be helpful. And then we can actually have conversations with different just Alex or anyone else, and either say, Hey.
146 00:15:21.746 ⇒ 00:15:39.099 Demilade Agboola: this is in far from ideal scenario. Is there anything we can do about it? And then, from the, you know, tech team, or whoever maybe there are things that can be done so that we don’t go into that situation in the 1st place, and if we do, we can also come up with code that works so that way, even for anyone
147 00:15:39.340 ⇒ 00:15:50.150 Demilade Agboola: is looking at what we’ve done. They know what’s going on. They can truly understand that he did what the scenarios that were occurring. And this is the code that was appropriate for each of those scenarios.
148 00:15:51.120 ⇒ 00:15:51.840 Amber Lin: Hmm.
149 00:16:00.480 ⇒ 00:16:02.350 Amber Lin: okay. Great noted.
150 00:16:03.404 ⇒ 00:16:06.680 Amber Lin: Sounds good. I feel like we’re pretty on track.
151 00:16:08.990 ⇒ 00:16:15.920 Amber Lin: I mean, we’re I know this is, I think we’re halfway, halfway through almost, and then we’re
152 00:16:16.090 ⇒ 00:16:20.709 Amber Lin: halfway on our progress. So I feel good about this. I don’t have anything else
153 00:16:21.070 ⇒ 00:16:24.560 Amber Lin: here. I probably will ask.
154 00:16:25.650 ⇒ 00:16:26.630 Amber Lin: Hmm.
155 00:16:28.590 ⇒ 00:16:34.989 Amber Lin: Oh, I think on this one I probably would need
156 00:16:35.210 ⇒ 00:16:41.169 Amber Lin: to know which ones we’re gonna need to rebuild for me to go. Ask the stakeholders
157 00:16:43.615 ⇒ 00:16:49.470 Amber Lin: and I think that will that will be done once we have the accuracy, and then
158 00:16:50.170 ⇒ 00:16:51.660 Amber Lin: I guess what?
159 00:16:53.520 ⇒ 00:16:56.749 Amber Lin: This one, I think I’ll be able to do it after we have this.
160 00:16:56.900 ⇒ 00:16:58.899 Amber Lin: So I’ll start next Monday.
161 00:17:02.690 ⇒ 00:17:03.570 Amber Lin: Okay.
162 00:17:05.575 ⇒ 00:17:06.819 Amber Lin: Thank you all.
163 00:17:07.220 ⇒ 00:17:08.470 Amber Lin: That’s all I have.
164 00:17:09.569 ⇒ 00:17:11.389 Emily Giant: Yay, we’re doing good this week.
165 00:17:11.700 ⇒ 00:17:15.600 Amber Lin: Yeah, our stand ups are much faster. I’m very happy about that.
166 00:17:15.609 ⇒ 00:17:17.909 Emily Giant: I need to see these cats one more time.
167 00:17:21.849 ⇒ 00:17:25.749 Amber Lin: So insane. Amber. Oh, my God, nobody!
168 00:17:25.750 ⇒ 00:17:31.329 Amber Lin: They also put a meme. They all put some interesting backgrounds, but they had some cool effects.
169 00:17:31.680 ⇒ 00:17:34.450 Amber Lin: and these I will have like nightmares, but, like.
170 00:17:35.290 ⇒ 00:17:39.160 Emily Giant: I don’t know. It’s like equally haunting and adorable.
171 00:17:39.580 ⇒ 00:17:41.029 Demilade Agboola: This was mine. This was my thing.
172 00:17:43.300 ⇒ 00:17:44.890 Demilade Agboola: and I think I added this
173 00:17:46.260 ⇒ 00:17:46.890 Emily Giant: Good.
174 00:17:46.890 ⇒ 00:17:49.480 Demilade Agboola: Was this, and I think I did this so.
175 00:17:49.480 ⇒ 00:17:53.110 Amber Lin: Oh, wow! I didn’t. I didn’t even realize I must.
176 00:17:53.110 ⇒ 00:17:53.750 Caio Velasco: How does it.
177 00:17:56.120 ⇒ 00:17:57.530 Amber Lin: It’s also like.
178 00:17:57.530 ⇒ 00:18:00.349 Emily Giant: Glasses with the eye patch is so.
179 00:18:00.950 ⇒ 00:18:05.397 Demilade Agboola: It’s like the thought of somebody wearing an eye patch over their glasses.
180 00:18:11.030 ⇒ 00:18:14.884 Emily Giant: That looks correct on you. I don’t know, Kyle, that I didn’t hate that.
181 00:18:17.186 ⇒ 00:18:18.420 Demilade Agboola: Getting there.
182 00:18:18.970 ⇒ 00:18:21.240 Emily Giant: Alright. Okay.
183 00:18:21.240 ⇒ 00:18:22.480 Amber Lin: Bye, everyone.