For anyone working with data — analysts, scientists, engineers — at any level.
I’ve seen companies and teams scrambling to adapt to the age of AI. The mandate arrives fast: use agents, build and share skills, move autonomously. The pressure is real, and so is the enthusiasm.
Earlier this year I shipped a pipeline rewrite I’m genuinely proud of. It replaced a 2,200-line SQL monolith — one of those files that everyone’s afraid to touch — with a clean layered architecture that handles 14 products, runs daily, and can be extended by adding a handful of config files.
In August 2025, Meta published an engineering blog post that changed how I think about analytics agents. It’s called “Creating AI Agent Solutions for Warehouse Data Access and Security,” and it describes a multi-agent system they built for their internal data warehouse.