Lead Data Engineer Databricks · GxP · Life Sciences · Finance

Engineering trusted data for regulated industries.

I build Databricks lakehouses for healthcare, life sciences and finance, where every pipeline has to be correct, traceable and audit-ready. I go looking for the hardest problem in the room.
Portrait of Ethan Parmer
Platform
Databricks Lakehouse
Domains
GxP · HCLS · Finance
Standard
Validated by design
Databricks certified
Data Engineer Associate
Data Engineer Professional
01

Lakehouse engineering

Medallion architectures, Delta Lake, Unity Catalog and Lakeflow pipelines that scale without surprises.

02

GxP & data integrity

Validated, auditable pipelines built around ALCOA+ principles, end-to-end lineage and controlled change.

03

Healthcare & life sciences

Clinical, quality and operational data shaped into something teams can trust and act on.

04

Finance

Governed, reconciled data for reporting where every number has to tie out.

02 Latest writing All posts →

GxP-ready pipelines on Databricks: an ALCOA+ map

An auditor picks a lot your site released fourteen months ago and asks a simple question: show me the batch record data exactly as it was when QA released this lot, and every change made to it since. Someone on the team says that’s fine, Delta keeps history, we’ll use time travel. Then they run DESCRIBE HISTORY, and the table only goes back 30 days, because that’s the default delta.logRetentionDuration. The data files behind older versions are gone too. VACUUM keeps seven days of files by default, and on Unity Catalog managed tables, predictive optimization runs it for you. Nobody chose to delete the evidence. The platform cleaned up on schedule, exactly as designed. ...

October 15, 2026 · 8 min · Ethan Parmer

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Working on Databricks in a regulated industry? Let's talk.

Speaking, collaboration, or a hard data problem: I'm happy to hear about it.