SQL

SQL is the language that determines whether data is retrieved quickly and correctly. Strong SQL skills are not just useful for databases, but also for reporting, analytics and production debugging.

From model to query

I use SQL to design models that match real use cases: relationships are clear, constraints protect data quality and queries remain understandable. Performance problems are often solved through the right index strategy, sensible aggregations and reading query plans—not by “throwing more hardware at it”.

SQL for reporting and product decisions

Dashboards, exports and analyses are often most reliable when built in SQL. Window functions, CTEs and materialised views enable complex reporting without pushing business logic into application code. That reduces errors and keeps results traceable.

SQL is both foundation and multiplier: teams that understand their data build better systems. With clean SQL, queries get faster, models become more robust and reporting becomes trustworthy.