scala-spark

Spark is easy to get running and hard to get right. I've spent years working specifically with Scala and Spark, so I know where the traps are and how to build things that actually hold up at scale. What I can help with: - Building analytics and ETL pipelines in Scala/Spark from scratch, or cleaning up ones that have gotten messy. - Making slow jobs fast, sorting out shuffles, joins, partitioning, and the memory issues that quietly kill performance.