About

This blog covers the practical side of data engineering: SQL migration, pipeline architecture, dbt patterns, Spark optimization, and the tools that actually work in production.

What you’ll find here

• Data pipeline patterns that survive real-world production load
• SQL migration strategies across dialects (Oracle, Exasol, Databricks, etc.)
• dbt best practices from teams running hundreds of models
• AI in data engineering and how LLMs are changing the way we build pipelines
• Tool reviews with honest takes on what works and what doesn’t