Writing
Practical perspectives on intelligence platforms, data modernization, AI analytics, and building data products that compound.
Why Building a Vertical Intelligence Platform Beats Hiring a Data Engineer
A senior data engineer costs $150K/year and builds one thing. An intelligence platform build delivers a full SaaS product in 8 weeks and runs itself.
Read More →Microsoft Fabric vs Databricks in 2026: An Engineer's Honest Take
I've built on both. Here's the actual decision framework — not the vendor marketing version.
Read More →How We Built a Cannabis Intelligence Platform in 3 Weeks
MOGanja went from a spreadsheet of Missouri DCR licensing data to a live SaaS product in 21 days. Here's every architectural decision we made.
Read More →The Schema Context Document: Why AI SQL Queries Fail Without It
Natural language to SQL works in demos and fails in production. The reason is almost always the same: the AI doesn't know what your tables mean.
Read More →Bronze, Silver, Gold: The Data Architecture Pattern That Works Every Time
After 20 years and 200+ production pipelines, I've tried most approaches. The medallion architecture is the closest thing to a universal pattern I've found.
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