Thoughts on data engineering, platform architecture, Databricks, and building reliable data systems at scale.
Why seniority doesn't eliminate upstream friction-and how to operate when the contract doesn't exist.
Learn how DBT transforms data in Snowflake, which is then exposed as a foreign catalog in Databricks for seamless cross-platform querying.
How chasing perfection nearly broke a production pipeline, and what I learned about shipping data systems that actually work.
Lessons from leading data engineering teams across Databricks, Azure, and AWS environments.
How to approach architectural decisions when building enterprise-grade data platforms.
Why developer experience matters for data engineering teams and how to improve it.