Thoughts on data engineering, product development, and the intersection of technology and human needs.
How we reduced our data transformation time by 60% while processing 50M daily records. Lessons learned from optimizing incremental models, leveraging BigQuery partitioning, and implementing effective testing strategies.
Reflections on building products that balance technical excellence with user value. Why the best technical solution isn't always the right product decision.
A deep dive into creating reliable AI agents for DeFi yield optimization. From RAG implementation to handling blockchain state transitions.
Modern data stack essentials: dbt, Airflow, Great Expectations, and the tools that matter for building reliable data pipelines.
How we achieved 95% data accuracy processing 20TB of Instagram data. Implementing Great Expectations and building trust in your data.
Lessons learned migrating 1500 tables from Greenplum to Clickhouse while maintaining zero downtime for critical business operations.