Post

Savannah Ostrowski
@savannah.dev

🐍 Calling all Python data engineers! I’m looking to chat with Python developers working in data engineering—whether you’re building pipelines, wrangling data, or just figuring things out as you go. Details 👇

Savannah Ostrowski
@savannah.dev

Curious to hear about: - Your project architecture and how you structure your workflows - The tools you rely on (and the ones you wish were better) - What you love about your current setup—and what frustrates you - [OPTIONAL] Whether you've ever evaluated Snowflake (and if so, what you thought)

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Savannah Ostrowski
@savannah.dev

Just exploratory research! I work on Python developer experience at Snowflake and want to get a more diverse sample of developers to influence a strategy I’m working on. Early perspectives are always welcomed!!

Lucas
@qfoiluks.bsky.social

Nice. I just responded here. Still want more info in a meeting? bsky.app/profile/qfoi...

Lucas@qfoiluks.bsky.social

Basically: - depends, basically it is defined by the infra already available or in place. - spark, airflow, Kafka, managed infra on k8s, aws in general, databricks, polars etc. - I love managed infra on k8s, and huge spark clusters on databricks ephemeral instances. - never tried, it's in my list.

Lucas
@qfoiluks.bsky.social

Basically: - depends, basically it is defined by the infra already available or in place. - spark, airflow, Kafka, managed infra on k8s, aws in general, databricks, polars etc. - I love managed infra on k8s, and huge spark clusters on databricks ephemeral instances. - never tried, it's in my list.