Notes on data engineering

Practical lessons from building data platforms on Snowflake, Databricks and Azure, and from mentoring 100+ engineers into their first data roles. Pick a topic below.

SNOWFLAKE · PERFORMANCE & COST

Snowflake Performance Optimization: 7 Practical Techniques Every Data Engineer Should Know

Learn 7 practical Snowflake optimization techniques to improve query performance, reduce warehouse costs, and build efficient data pipelines.

14 October 2026·1 min readRead article →DATABRICKS

Why your Databricks job is slow: 9 Spark fixes that actually work

A practical checklist to speed up slow Databricks and PySpark jobs: read less data, fix joins and skew, compact small files and stop paying for idle compute.

11 October 2026·5 min readRead article →