Do the magic with DevOps, Open Source and All-remote teams (with Python, of course)
summary
GitLab runs a fully all-remote data platform built with Python that actually ships and scales: an enterprise analytics stack using Airflow orchestration, Snowplow → Snowflake ingestion, Fivetran/Stitch for connectors, DBT and Meltano for transformations, plus Monte Carlo for data observability and Permifrost for Snowflake permissions. The team automates tests and zero-copy-clone feature for cheap prod-like environments, routes alerts into Slack, dogfoods GitLab CI to deploy changes, and supports a 60+ country workforce and 30+ million users while keeping costs and time-to-market low.
AI-written summary · about
chapters (8)
- 0:00Introduction and background
- 3:14GitLab company overview
- 6:00Data team mission and challenges
- 9:11Dogfooding and DevSecOps mindset
- 12:19Tech stack and tools
- 15:51Rising stars in data tools
- 19:21Data team roles and projects
- 21:47Q&A session
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