Design, build, maintain, and optimize end-to-end ETL/ELT data pipelines and DW architectures. Troubleshoot production issues, develop and optimize complex SQL, implement data security, and support cross-functional teams. Work with cloud data warehouses, big data tools (Kafka, Spark, Hadoop), OOP scripting, and apply data science/AI familiarity to enable analytics.

Design, build, maintain, and optimize ETL/ELT data pipelines and data warehouses. Troubleshoot production issues, write and optimize complex SQL, implement data security, monitor storage/processing, support cross-functional teams, and apply data science and AI/ML familiarity to data engineering solutions.