Strong hands-on proficiency with SQL and working knowledge of Spark, Spark SQL, Scala, Python, PL/SQL, Linux and shell scripting, ETL/ELT and data-integration tools, streaming platforms, and job scheduling sufficient to direct and review implementation designs and code. Personally designs and resolves the most complex and highest-risk platform architecture problems, including cross-component data flows, platform consolidation, new data-asset ingestion, partner onboarding, and data conversions into new administrative systems.