Is your approach basically SQL?

Yes, my core approach relies heavily on SQL for data transformation and analysis. I use SQL to express business logic in a declarative way, which makes the code easier to read and maintain. For example, I write complex aggregation queries in Snowflake to generate daily metrics, and I use window functions to calculate rolling averages. However, when dealing with very large datasets or requiring iterative processing, I complement SQL with Spark or Python scripts. This hybrid approach lets me leverage the strengths of SQL for clarity and the power of distributed computing for performance.