I build the pipes data
flows through, cleanly.

I work at the point where messy raw data becomes something a business can actually rely on — writing the ETL, modelling the warehouse, and choosing infrastructure that won't fall over at 2am. Most of my day lives across Python, SQL and one or two cloud consoles, and I like projects where the constraint is real: a slow query, a flaky source, a pipeline that has to run unattended.

Below is a running list of the tools I reach for most, and a handful of projects that show how they fit together.

• Pipelines & orchestration 01
• Cloud data warehousing 02
• SQL modelling 03
• Analytics & dashboards 04