Data Alchemist.
Forty years of
turning messy data
into something useful.

I help senior data leaders at European mid-market organisations turn messy platforms into trustworthy, AI-ready foundations — using forty years of pattern recognition, not the latest framework.

Pre-digital at a video store. The database era at Andersen Consulting and the Financial Times. The modern stack at Talpa, Rabobank, Booking.com, SURFsara. That range is rare.

Production systems, ML models, scientific data management, Data Vault, streaming, dbt/Snowflake/Databricks/PySpark at scale. Every opinion earned in production.

You don’t need another opinion on dbt vs SQLMesh. You need someone who can tell you which of the four things you think need fixing actually matters.

I’m writing a book — History of Data: From Cave Paintings to Lakehouses. Forty-seven thousand years of the same patterns repeating. The free e-book is the foreword and chapter one — from Homo habilis and carved shells to cuneiform, the oldest readable writing.

The reason I write it isn’t nostalgia. It’s that every problem I’ve been paid to solve in the last decade was solved, in slightly different clothing, by someone in Rome or Baghdad or Leiden three hundred years ago. Pattern recognition is the actual skill.