There’s an uncomfortable question hanging over every data team in 2026: is AI coming for my job?Continue reading on Medium »
You keep hearing about dbt. Your data team uses it. Job listings mention it. Here’s what it actually is, why engineers love it, and how AI tools are making it accessible even if you’ve never touched it before.If you’ve spent any time in data circles re…
Image by authorOriginally published on codecut.aiIntroductionpandas has been the standard tool for working with tabular data in Python for over a decade. But as datasets grow larger and performance requirements increase, two modern alternatives have em…
How Data Contracts Prevent Silent Degradation in Production SystemsData quality issues are the silent killers of production systems. A single malformed record can crash your pipeline. A gradual drift in data distributions can slowly degrade model perfo…
How abstraction, registries, and a clean CLI turn chaotic text into structured, queryable knowledge — without locking you into a single…Continue reading on Towards AI »
A comparison with OpenClaw, and why the architecture decision you make on day one compounds over time.Continue reading on Towards AI »
Every Monday morning for eight months, I spent three hours copying numbers into a spreadsheet. Then I spent one Saturday afternoon building the thing that gave those hours back forever.Every Monday morning, without fail, for eight straight months — I m…
Databricks workspaces, SPNs, Unity Catalog, Declarative Automation Bundles, and CI/CD — from zero to hero in three practical articlesContinue reading on Towards AI »
Databricks workspaces, SPNs, Unity Catalog, Declarative Automation Bundles, and CI/CD — from zero to hero in three practical articlesContinue reading on Towards AI »
Part 3: Classifying nested formulas, decoding VBA orchestration, and governing a rule registry — before a single pipeline is writtenThis series is written for data architects, platform engineers, and technical leaders designing resilient data systems i…