About the service
I build and tune data warehouses on Amazon Redshift so analytics stays fast even as volume grows to billions of rows. I start with schema: I model facts and dimensions, then choose distribution style and sort keys based on how your queries really filter and join data. A good DISTKEY keeps joined rows on one node and eliminates unnecessary network shuffles, the right SORTKEY lets the planner skip entire blocks, and column compression shrinks every scan.
Beyond schema, I handle all the moving pieces. I design loading from Amazon S3 through COPY, run VACUUM and ANALYZE on schedule to keep statistics truthful, and configure workload management and concurrency scaling so heavy reports don't starve dashboards. I rewrite slow queries from your own logs, checking each against the execution plan, connect the warehouse to your BI tools, and set up roles and permissions. I help end-to-end — whether you're migrating from legacy storage, standing up analytics for the first time, or rescuing a sluggish cluster.
— Schema with thoughtful distribution and sort keys
— Loading from S3, COPY pipelines, VACUUM, and ANALYZE
— Query tuning, WLM, concurrency scaling, and BI integration
Beyond schema, I handle all the moving pieces. I design loading from Amazon S3 through COPY, run VACUUM and ANALYZE on schedule to keep statistics truthful, and configure workload management and concurrency scaling so heavy reports don't starve dashboards. I rewrite slow queries from your own logs, checking each against the execution plan, connect the warehouse to your BI tools, and set up roles and permissions. I help end-to-end — whether you're migrating from legacy storage, standing up analytics for the first time, or rescuing a sluggish cluster.
— Schema with thoughtful distribution and sort keys
— Loading from S3, COPY pipelines, VACUUM, and ANALYZE
— Query tuning, WLM, concurrency scaling, and BI integration
