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What we’re about

San Francisco's community for data engineers, analytics engineers, and data professionals who debug data problems together.

If you've ever spent hours debugging dbt models, untangling data lineage, or explaining why your staging environment doesn't match production, you've found your people.

What We Do:

  • Monthly meetups with technical discussions and networking
  • Lightning talks on data debugging, data quality, and modern data stack challenges
  • Community support for data pipeline issues, dbt problems, and analytics engineering questions
  • Career development and skill sharing for data professionals

Who Should Join:

  • Data engineers wrestling with pipeline issues
  • Analytics engineers working with dbt, Looker, or similar tools
  • Data scientists dealing with data quality problems
  • Anyone who's ever said "the data looks weird" and meant it
  • Professionals using tools like Snowflake, BigQuery, Airflow, or the modern data stack

Topics We Cover:

  • dbt best practices and troubleshooting
  • Data quality and testing strategies
  • Modern data stack tools and techniques
  • CI/CD for data engineering
  • Analytics engineering workflows
  • Data pipeline debugging and optimization
  • Career growth in data engineering

Community Values:

  • Learning together, not competing
  • Practical solutions over theoretical discussions
  • Inclusive environment for all experience levels
  • No sales pitches or recruiting spam

Join us to debug data problems together instead of alone. Whether you're a senior data engineer or just starting your analytics engineering journey, there's a place for you in our community.

Follow us: @datadebugSF on LinkedIn and Bluesky

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