Production AI and data engineering
LLM evaluation, observability, platform migrations, performance tuning, and architecture choices without vendor theater.
DWHPro Letters
The field guide for senior data engineers moving into the AI era.
Practical essays for people who still have to keep enterprise data systems correct, fast, explainable, and billable while Teradata, Snowflake, Databricks, and AI agents reshape the work.
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Written by Roland Wenzlofsky
Founder of DWHPro
Author of Teradata Query Performance Tuning
Market survival for senior engineers
Job-market signals, rate pressure, title inflation, and the skills that still matter when management discovers automation.
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Latest posts
Latest field notes
Fresh essays from DWHPro Letters, ordered by publication date.
The Market Does Not Pay for Tool Lists
Why capable data and platform engineers stay invisible, underpaid, and afraid to apply There is a quiet fear in the current technology job market.
The Brain and the Muscle
A practical guide to spec-driven development — built around one real website, so you can follow along and try it yourself. If you have used
The Two Engineers
This is a story. The two men in it do not exist. Everything that happens to them does. Year One They had studied together,
Stop disqualifying yourself: how to decode a job posting
Something is broken in how roles are advertised, and it is worth naming plainly, because most of you are blaming the wrong party for
Why does your test suite lie to you when the system contains an LLM
If you have spent twenty years writing tests for data pipelines, you carry a mental model of what a passing test means. The input
What You Actually Need to Know About LLMs Before the Next Interview
"All models are wrong, but some are useful." George Box A short note before the piece. Starting next week, this newsletter will
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