The Lakehouse Architect's Playbook
Designing governed, cost-efficient lakehouses on Databricks, Azure and AWS.

I design data platforms that are fast, governed and built to last. 17 years from ETL pipelines to enterprise lakehouses.
I turn data strategy into architecture teams can actually build, then write up what works.
I started in 2009 writing ETL for telecom data. Since then I’ve built warehouses at HSBC and IBM in Malaysia, modelled a Teradata FSLDM warehouse at Encora, modernized Azure platforms at HCL and led lakehouse architecture at Exponentia.ai.
A practical rulebook for the three layers, with the mistakes I see most often when teams adopt the pattern on Databricks.
Read · 1 min →Practitioner · 17 Sep 2026The decisions to make before you migrate a single table: metastore layout, naming, ownership and access patterns.
Read · 1 min →Architect · 3 Sep 2026Where Databricks spend actually goes, and the order I tackle it in when a client's bill doubles.
Read · 1 min →Designing governed, cost-efficient lakehouses on Databricks, Azure and AWS.
A field guide to catalogs, permissions, lineage and data quality that teams actually follow.
Design trade-offs, cost fixes and governance patterns from real Azure, AWS and Databricks platforms. New subscribers get the Lakehouse Readiness Checklist (free PDF).