How automation, AI and clear data play out in practice — with the technical details when you want them.
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Every new project comes with repetitive setup work. I built t1-bootstrap to take care of it, so the useful work can start sooner.
A lightweight data warehouse architecture for small businesses: three schema layers, a nightly batch job, and star-schema marts — no Databricks required.
A lean ETL configuration pattern for Python: one Pydantic Settings class with typed .env values, computed path fields, and a naming convention that makes directory setup self-documenting.
It can be hard to untangle a data model with multiple fact and dimension tables. These best practices, tips, and tricks help you keep it clear and maintainable.
Power BI Best Practices, Part 1: Setup. Strong projects start with a clean, consistent foundation. In this first installment I share the setup methods I use on every build to keep work organized and maintain quality and clarity from kickoff to delivery.
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Power BI