Meeting Title: US x BF | Standup Date: 2025-06-17 Meeting participants: Caio Velasco, Amber Lin, Emily Giant
WEBVTT
1 00:01:38.230 ⇒ 00:01:39.720 Amber Lin: Good morning!
2 00:01:40.280 ⇒ 00:01:41.789 Emily Giant: Hello! How are you?
3 00:01:41.790 ⇒ 00:01:44.764 Amber Lin: I’m good just caught up.
4 00:01:46.360 ⇒ 00:01:49.692 Emily Giant: I love that for you. I know it’s actually quite early there.
5 00:01:49.970 ⇒ 00:01:55.529 Amber Lin: It’s it’s a 7 30. It’s not that early, but still.
6 00:01:55.850 ⇒ 00:01:58.440 Emily Giant: Are you a morning person? I am not.
7 00:01:58.986 ⇒ 00:02:03.440 Amber Lin: I can be forced to be a morning person, but I think it’s actually beneficial.
8 00:02:03.700 ⇒ 00:02:10.280 Amber Lin: Would I wake up on this time on my own. No, but do I enjoy waking up at this time? Maybe.
9 00:02:10.280 ⇒ 00:02:15.819 Emily Giant: Yeah, like things can get done. It’s amazing how long a day is when I wake up. But on weekends
10 00:02:16.400 ⇒ 00:02:43.620 Emily Giant: if nobody wakes me up. I will sleep till noon like it doesn’t matter what time I go to bed. I will sleep till noon. It’s I am like a teenager. It’s crazy. When I was in my twenties I would go to the gym like every day I like. I taught weightlifting classes. Yeah, in New York I’d go down to like the New York Stock Exchange, and I would teach it like a 6 Am. Class to all of the like stockbrokers and.
11 00:02:43.620 ⇒ 00:02:45.710 Amber Lin: Oh, Emily, you’re so cool.
12 00:02:45.710 ⇒ 00:03:03.540 Emily Giant: I do not know how I did it, because if you ask me to do that now, I think I’d die but I like to say that, like I worked out in my twenties so that I could never work out again for the rest of my life, like I put in my dues, but I was so miserable.
13 00:03:03.540 ⇒ 00:03:07.219 Amber Lin: No, wait. Were you an athlete when you grew up.
14 00:03:07.450 ⇒ 00:03:21.589 Emily Giant: I kind of. I wasn’t necessarily good, but I was a gymnast from the time I was pretty little, and I think when you do gymnastics when you’re little, it just always stays with you like you always have to do something. But.
15 00:03:21.590 ⇒ 00:03:22.320 Amber Lin: No.
16 00:03:22.320 ⇒ 00:03:28.839 Emily Giant: Yeah, it wasn’t great, but I I just. I’ve always enjoyed my brother and I both love running and.
17 00:03:29.750 ⇒ 00:03:38.010 Emily Giant: I think we both have, like Adhd. And to like, we need just need to get it out of our systems.
18 00:03:38.010 ⇒ 00:03:46.615 Amber Lin: It’s so funny is still gonna join us, Kyle. I think I know that he was talking with you in the comments in linear.
19 00:03:47.740 ⇒ 00:03:49.459 Emily Giant: Don’t think he’s coming today.
20 00:03:49.460 ⇒ 00:03:50.140 Amber Lin: Oh, okay.
21 00:03:50.480 ⇒ 00:03:56.040 Emily Giant: Someone. I thought it was Cayo that wasn’t able to make it today. But maybe it’s demalade. Actually.
22 00:03:56.040 ⇒ 00:03:56.780 Amber Lin: Sure.
23 00:03:57.070 ⇒ 00:03:57.640 Emily Giant: He said.
24 00:03:57.640 ⇒ 00:04:01.270 Caio Velasco: I cannot make. I couldn’t make to the working session. But.
25 00:04:01.270 ⇒ 00:04:02.400 Emily Giant: Oh, gotcha! Okay.
26 00:04:02.400 ⇒ 00:04:03.696 Caio Velasco: For the standard deals.
27 00:04:04.330 ⇒ 00:04:04.690 Emily Giant: Okay.
28 00:04:04.690 ⇒ 00:04:09.130 Amber Lin: I see. Okay, is everything updated in linear.
29 00:04:10.704 ⇒ 00:04:11.500 Emily Giant: Yes.
30 00:04:11.800 ⇒ 00:04:12.370 Amber Lin: Okay.
31 00:04:12.370 ⇒ 00:04:16.464 Emily Giant: Although I need to. We don’t update due dates. I know this. But
32 00:04:18.399 ⇒ 00:04:24.980 Emily Giant: The only thing that I’m waiting on in the looker.
33 00:04:25.550 ⇒ 00:04:27.630 Emily Giant: Words, just the care team
34 00:04:27.850 ⇒ 00:04:37.100 Emily Giant: and I pinged them to let them know that they’re the only holdouts, but it’s like 6 models that haven’t been marked for their status, and then that one’s done.
35 00:04:37.310 ⇒ 00:04:38.280 Amber Lin: Okay.
36 00:04:38.540 ⇒ 00:04:41.520 Emily Giant: Or well part one of it is done.
37 00:04:41.520 ⇒ 00:04:50.670 Amber Lin: Okay, no way oh, and then
38 00:04:52.181 ⇒ 00:04:54.690 Amber Lin: let me go. Read this.
39 00:04:55.590 ⇒ 00:05:02.769 Amber Lin: Anything here, the revenue and snapshots this and this.
40 00:05:02.770 ⇒ 00:05:08.460 Emily Giant: Yeah, Demo, that I definitely did work on that because he put through a Pr that I reviewed.
41 00:05:09.930 ⇒ 00:05:14.979 Emily Giant: He set up snapshots for afs, but that maybe, is a different ticket. Actually.
42 00:05:14.980 ⇒ 00:05:17.643 Amber Lin: Hmm! I see. I think it’s a different ticket
43 00:05:18.661 ⇒ 00:05:24.129 Amber Lin: would this be done anytime soon? Or do you guys plan on working on this together?
44 00:05:24.730 ⇒ 00:05:26.400 Emily Giant: Is this the dbt.
45 00:05:26.400 ⇒ 00:05:27.229 Amber Lin: Oh, yeah, this is.
46 00:05:27.230 ⇒ 00:05:27.940 Emily Giant: Oh,
47 00:05:28.650 ⇒ 00:05:29.230 Amber Lin: Okay.
48 00:05:29.230 ⇒ 00:05:34.030 Emily Giant: That’s kind of happening like in tandem with the Dbt models.
49 00:05:40.080 ⇒ 00:05:48.353 Emily Giant: What additional information Kayo would you want? Because I can do this along with?
50 00:05:49.890 ⇒ 00:06:00.020 Emily Giant: the the Dbt model ratings we can just like kind of 2 birds, one stone record any data issues.
51 00:06:01.030 ⇒ 00:06:04.000 Caio Velasco: Like, specifically, you might.
52 00:06:04.000 ⇒ 00:06:05.400 Emily Giant: Data issues to be.
53 00:06:07.120 ⇒ 00:06:07.850 Caio Velasco: Sorry.
54 00:06:08.390 ⇒ 00:06:10.950 Emily Giant: Sorry you go ahead. I’m sorry. I’m just thinking out loud.
55 00:06:11.748 ⇒ 00:06:28.400 Caio Velasco: No, I was just gonna say that for anyone that is any ticket that is related to model like audit revenue models. I would still have to go to your video, the one that we had and not and do all the knowledge base idea. I didn’t have time to to do that yet.
56 00:06:28.938 ⇒ 00:06:35.720 Caio Velasco: But then I would start from there and then I could check tickets related to those things. But before that, you know.
57 00:06:42.810 ⇒ 00:06:44.601 Emily Giant: Yeah, the plan is
58 00:06:45.590 ⇒ 00:06:53.650 Emily Giant: to have it done this week. This is has been not blocked, but I had an urgent.
59 00:06:54.000 ⇒ 00:06:54.740 Amber Lin: Like.
60 00:06:54.740 ⇒ 00:06:58.480 Emily Giant: Issue with the products. Xf table broke down and then
61 00:06:59.010 ⇒ 00:07:08.500 Emily Giant: 2 of our dependent revenue models broke down the day after. So that’s what I’ve been buried in.
62 00:07:08.500 ⇒ 00:07:09.170 Amber Lin: I see.
63 00:07:09.170 ⇒ 00:07:15.563 Emily Giant: And I did update this yesterday to 5 points as I’ve been working on it.
64 00:07:16.410 ⇒ 00:07:21.990 Emily Giant: to make it really thorough it. It’s taking more time than I thought.
65 00:07:23.680 ⇒ 00:07:26.739 Amber Lin: Okay, I mean, this is very necessary. So.
66 00:07:26.740 ⇒ 00:07:27.490 Emily Giant: Yeah.
67 00:07:27.777 ⇒ 00:07:32.090 Amber Lin: When do you think this would be done? What 2 days should we aim for.
68 00:07:32.743 ⇒ 00:07:36.099 Emily Giant: I’m gonna aim for. So we’re off Thursday and.
69 00:07:36.100 ⇒ 00:07:36.540 Amber Lin: And.
70 00:07:36.540 ⇒ 00:07:41.519 Emily Giant: Actually, I took Friday off. But I’m talking with Alex about whether or not to actually take it off.
71 00:07:41.680 ⇒ 00:07:42.310 Amber Lin: And.
72 00:07:42.310 ⇒ 00:07:45.089 Emily Giant: Would say, end of day. Wednesday is the goal.
73 00:07:47.350 ⇒ 00:07:49.023 Emily Giant: That’s if
74 00:07:50.430 ⇒ 00:07:57.309 Emily Giant: I’m doing Qa right now with, like the updates with products Xf and components that broke down.
75 00:07:57.880 ⇒ 00:08:06.649 Emily Giant: And if I’m able to, I’m meeting with them a lot in a bit to like review and make sure that I’m not missing something once that’s deployed, then.
76 00:08:07.327 ⇒ 00:08:10.070 Emily Giant: I’m my time is much freer.
77 00:08:10.310 ⇒ 00:08:10.690 Amber Lin: Okay.
78 00:08:10.690 ⇒ 00:08:14.209 Emily Giant: Hey? Yeah, it just happens every week. Something breaks with.
79 00:08:14.210 ⇒ 00:08:21.760 Amber Lin: I see I know you have a you have a very tough job. Is it the same for this one that we’re all we’re aiming for?
80 00:08:23.330 ⇒ 00:08:25.560 Emily Giant: End of week, end of day, Wednesday.
81 00:08:29.790 ⇒ 00:08:31.680 Amber Lin: Okay? Sounds good.
82 00:08:34.130 ⇒ 00:08:43.320 Amber Lin: Think downloaded tickets is all up to date. Let’s look at Kyle. Any updates on these tickets.
83 00:08:44.620 ⇒ 00:08:49.939 Caio Velasco: Yes. So the 1, 1, 3
84 00:08:50.478 ⇒ 00:09:00.521 Caio Velasco: I’m almost done. I’m basically done, actually, because I already have the the list of models and dashboards that was insane to do. If I can be honest.
85 00:09:00.880 ⇒ 00:09:01.540 Amber Lin: Nice.
86 00:09:01.540 ⇒ 00:09:04.840 Caio Velasco: And a lot of hours because it everything was new. It was nice.
87 00:09:05.405 ⇒ 00:09:15.739 Caio Velasco: And now I’m just seeing if I’m gonna put in the Dbt model tab, or in the dashboard tab. I mean, if I put in the Dbt model tab, I would put the dashboard names there, or vice versa.
88 00:09:16.100 ⇒ 00:09:22.170 Caio Velasco: But that’s basically done and yeah, for the others.
89 00:09:23.190 ⇒ 00:09:25.359 Caio Velasco: I can go back to the others. Let me check.
90 00:09:31.010 ⇒ 00:09:40.680 Caio Velasco: Yeah. The one I messaged today just to understand a bit of what was happening, because we are turning off tables
91 00:09:43.250 ⇒ 00:09:44.780 Caio Velasco: that are not being used.
92 00:09:46.380 ⇒ 00:09:49.170 Caio Velasco: Tables in retro that are not being used by Dbt.
93 00:09:49.330 ⇒ 00:09:51.849 Caio Velasco: which is like a huge list.
94 00:09:53.270 ⇒ 00:10:06.049 Caio Velasco: and first, st I will have to also understand, like, what is turning off means here, because this is is it going to the ingestion and turning that off, or is it kind of I don’t know, dropping the table or doing something.
95 00:10:06.050 ⇒ 00:10:07.030 Amber Lin: Something.
96 00:10:07.030 ⇒ 00:10:14.999 Caio Velasco: Along those lines, and also something else is that I asked him.
97 00:10:15.210 ⇒ 00:10:17.779 Caio Velasco: If we are doing that work
98 00:10:18.170 ⇒ 00:10:21.870 Caio Velasco: wouldn’t be better if we would. If we do for
99 00:10:24.680 ⇒ 00:10:27.659 Caio Velasco: the ratsheet table that are actually being used?
100 00:10:29.310 ⇒ 00:10:40.340 Caio Velasco: because we are deprecating a lot of things. And then maybe we are doing work for something that we don’t even need to do. But but still, like, it’s okay. I’m still discussing with him about it.
101 00:10:40.570 ⇒ 00:10:44.169 Caio Velasco: But I will jump on this one after I and the other one.
102 00:10:44.880 ⇒ 00:10:45.640 Amber Lin: Okay.
103 00:10:46.410 ⇒ 00:10:51.530 Amber Lin: Sounds good. Would you say that these 2 are on track for today?
104 00:10:53.243 ⇒ 00:10:55.230 Caio Velasco: The 1, 1, 3, 1, 1, 4
105 00:10:55.340 ⇒ 00:11:00.639 Caio Velasco: can be tomorrow, probably because I spent like the whole week in 2 days. To be honest
106 00:11:01.170 ⇒ 00:11:02.460 Caio Velasco: like that. Yeah.
107 00:11:02.460 ⇒ 00:11:02.890 Amber Lin: Okay.
108 00:11:02.890 ⇒ 00:11:05.229 Caio Velasco: Yeah. Yesterday I almost didn’t sleep.
109 00:11:05.620 ⇒ 00:11:09.239 Emily Giant: I know Kyle is really bad, right? Like I’m not crazy. Our.
110 00:11:09.240 ⇒ 00:11:25.089 Caio Velasco: No, no, that happens, and you can stop. Because if you stop, you lose the whole thread. Yeah, I know. But that’s okay. It’s it happens? But I would jump to the other one, and then what was the next one?
111 00:11:25.430 ⇒ 00:11:28.690 Amber Lin: This one thing we also have with this.
112 00:11:29.500 ⇒ 00:11:35.209 Amber Lin: Oh, yeah, I think once we have the rate by accuracy, we can have.
113 00:11:36.090 ⇒ 00:11:39.350 Caio Velasco: Exactly perfect. So I’m waiting for that one. Yeah, exactly.
114 00:11:39.350 ⇒ 00:11:41.480 Amber Lin: Okay cause. We also have.
115 00:11:42.110 ⇒ 00:11:46.991 Caio Velasco: 1 1 once we also finish 1, 1, 3. We can do that. So.
116 00:11:47.988 ⇒ 00:11:57.940 Amber Lin: Let me just look at anything. So this is today. That’s tomorrow. That’s probably tomorrow or Thursday.
117 00:12:00.290 ⇒ 00:12:05.510 Amber Lin: These 2 are really small tasks and I think
118 00:12:08.220 ⇒ 00:12:22.090 Amber Lin: like that will be done. That can be done after we turn off everything we need to, and then we’ll do a quick like calculation. And this one, I will give you more context. This is not a ticket.
119 00:12:22.090 ⇒ 00:12:23.570 Caio Velasco: Okay, this is new. Okay, okay.
120 00:12:23.570 ⇒ 00:12:24.320 Amber Lin: Yeah.
121 00:12:24.600 ⇒ 00:12:25.230 Caio Velasco: Cool.
122 00:12:25.490 ⇒ 00:12:32.990 Amber Lin: Okay, perfect, that’s all. And the one is gonna do some remodeling for inventory.
123 00:12:33.350 ⇒ 00:12:33.910 Amber Lin: Yeah.
124 00:12:33.910 ⇒ 00:12:34.850 Emily Giant: Missing.
125 00:12:35.270 ⇒ 00:12:36.260 Amber Lin: Sounds good.
126 00:12:36.970 ⇒ 00:12:37.750 Emily Giant: Alright, cool.
127 00:12:39.422 ⇒ 00:12:40.808 Amber Lin: You. Thank you.
128 00:12:41.470 ⇒ 00:12:42.720 Amber Lin: Alrighty.
129 00:12:43.444 ⇒ 00:12:43.919 Caio Velasco: Bye-bye.
130 00:12:43.920 ⇒ 00:12:44.720 Amber Lin: Hi.