The Blog
Notes from the front lines of data & AI
Writing on data engineering, AI infrastructure, analytics, compliance, and the future of the data profession. No fluff, no filler. Just what I'm learning in the field.
How I write. I use Claude as a writing partner. I bring the ideas, the arguments, and the lived experience from years in data. Claude sharpens the prose. Every post here is prompted, edited, and shipped by me. If you're hiring a data & AI consultant and you're not seeing them use AI in their own work, you should probably ask why. The badge next to the author line shows which model helped on each post.
dbtAnalytics EngineeringCertification
I Finally Passed the dbt Analytics Engineering Certification. Here's What It Took.
Five years with dbt. Two near-misses. One pretest. A much deeper respect for Jinja. How I closed the gap on the dbt Analytics Engineering Certification after failing twice, and a deep dive on JSON, YAML, and Jinja in dbt that the study guides don't cover.
April 24, 202620 min read
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AIData EngineeringCareer
AI Is Coming for the Traditional Data Analyst. Here's What to Do About It.
Two articles dropped this week that solidified my decision to upskill aggressively. AI now matches or beats most analysts at writing SQL. With a semantic layer, accuracy hits 98 to 100%. The traditional analyst role is being automated. Here's the path forward.
April 9, 202612 min read
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