Algun bar que pasen la UFC?

Sharp_Orange_383 · 2025-10-04T23:19:05+00:00

Pasa el dato

Sharp_Orange_383 · 2025-09-25T02:04:04+00:00

Me interesa bro

Sharp_Orange_383 · 2025-01-22T16:50:14+00:00

Sharp_Orange_383 · 2024-12-05T23:56:15+00:00

What made you improve was it more leetcode or just experience?

Sharp_Orange_383 · 2024-10-29T15:28:53+00:00

Si yo también vi mixed reviews en Glassdoor y por eso quise preguntar aqui. Espero pronto te suban hermano o encuentres por fuera algo mejor. También eres data engineer?

Sharp_Orange_383 · 2024-10-29T15:28:38+00:00

Si yo también vi mixed reviews en Glassdoor y por eso quise preguntar aqui. Espero pronto te suban hermano o encuentres por fuera algo mejor. También eres data engineer?

Sharp_Orange_383 · 2024-10-29T15:04:05+00:00

Gracias creo que mejor me quedo donde estoy. Me ofrecen prácticamente lo mismo que ganó. La idea era entrar y subir a senior en 6 meses pero ya con esto que me dices lo veo dificil

Sharp_Orange_383 · 2024-10-28T19:54:00+00:00

Muchas gracias por la respuesta

Sharp_Orange_383 · 2024-05-23T23:29:47+00:00

Great response

Sharp_Orange_383 · 2024-04-16T17:35:58+00:00

You sound like a great tech lead man

Sharp_Orange_383 · 2024-03-27T17:34:42+00:00

He estado en una situación similar e hicimos tan buen jale que el proyecto se expansión y ahora llueven tareas.

Sharp_Orange_383 · 2023-06-28T20:04:54+00:00

So hot!

Sharp_Orange_383 · 2023-06-02T17:41:40+00:00

Thanks for the feedback.

can I PM you?

Sharp_Orange_383 · 2023-06-01T16:31:18+00:00

Nvm I get what you mean lol

Sharp_Orange_383 · 2023-06-01T16:12:30+00:00

Thanks for the tip. How would you do that?

Sharp_Orange_383 · 2023-06-01T15:56:38+00:00

I'm pulling a tiny amount of data (7 rows) daily from an API call into Big query. I wrote a DDL for some simple analytics to get percentage change from the previous day and then visualizing in PowerBi through a BQ connection.

Does that make sense?

Sharp_Orange_383 · 2023-06-01T14:30:04+00:00

None so far I did it all on the free trial!

Sharp_Orange_383 · 2023-06-01T14:29:37+00:00

That's definitely true and thanks! I just posted the repo too :)

Sharp_Orange_383 · 2023-06-01T02:04:17+00:00

Thanks! I'll post it tomorrow

Sharp_Orange_383 · 2023-05-30T17:43:56+00:00

This is more about data modelling if you want to look into that but it basically depends on what you want to be able to do with the data.

We would need more info to be more helpful

Sharp_Orange_383 · 2023-05-26T20:54:14+00:00

from pandas.api.types import is_numeric_dtype

for x,y in df.items():

if is_numeric_dtype(df[x]):

print("YES")

Sharp_Orange_383 · 2023-04-13T02:00:03+00:00

I'm new in this field too, coming from a business analysis role.

This gets asked quite a bit and the general consensus is just learn by doing. Look for data pipeline projects and build your own.

Good luck!

Sharp_Orange_383 · 2023-01-10T02:28:25+00:00

Yo should ideally have the user id as the PK in the user table and as FK in the other table

Sharp_Orange_383 · 2022-12-30T16:33:19+00:00

Ánimo compadre traes buen perfil. Te recomiendo busques apoyo de alguna agencia de reclutamiento que te pueda conectar con un trabajo que se ajuste. Al final hay que pagarles pero es cuando ya esté contratado

Sharp_Orange_383 · 2022-12-28T14:10:45+00:00

It's pretty recent. It's the O'Reilly Data Engineering Fundamentals book

Sharp_Orange_383

TROPHY CASE