Amazon Redshift Data Warehouse Design and Tuning

I build and tune Amazon Redshift data warehouses so your analytics stay fast even as the data grows into billions of rows. The work starts with the schema: I model your facts and dimensions, then choose distribution styles and sort keys that match how your queries actually filter and join. A well-picked DISTKEY keeps joined rows on the same node and cuts network shuffling, the right SORTKEY lets the planner skip whole blocks, and per-column compression means each scan reads less from disk.

Beyond the schema I handle the moving parts. I load cleanly from Amazon S3 with COPY, keep VACUUM and ANALYZE on a schedule so statistics stay honest, and tune workload management and concurrency scaling so heavy reports never starve your dashboards. I rewrite the slow queries from your own logs against their execution plans, connect the warehouse to your BI tools, and set roles and permissions. Whether you are migrating an aging warehouse, standing up analytics for the first time, or rescuing a cluster that has grown slow, I can help end to end.

— Schema design with distribution and sort key strategy
— S3 ingestion, COPY pipelines, VACUUM and ANALYZE
— Query tuning, WLM, concurrency scaling and BI connections