Writing
Notes on data engineering, cloud & AI
Long-form series and practical articles on building data platforms that transfer across tools — written from hands-on delivery, not vendor marketing.
Learn the Pattern, Not the Product
Platform-agnostic data engineering fundamentals that transfer across Snowflake, Databricks, BigQuery and Microsoft Fabric. Twelve core concepts, each explained "in 60 seconds" and then mapped — in a "same pattern, every platform" table — so the knowledge moves with you instead of expiring with a vendor's UI.
Start the series → Series · 4 partsThe Modern Data Ecosystem
A practitioner's guide to the three specialized engineering roles shaping data teams: Data Engineer, Data Architect, and ML/AI Engineer. Architecture diagrams, tool-stack breakdowns, and comparative tables for each role.
Read the series → GuideTackling the Data: Descriptive Analytics
A walkthrough of the key steps in descriptive analytics — from data collection and cleaning to transformation, visualization, and sharing results — with diagrams and an animated process flow.
Read the guide →