• Own the technical strategy and execution of migrating large-scale data workloads from GCP to AWS, ensuring continuity, data integrity, and minimal disruption. • Design migration playbooks and serve as the go-to expert for decisions across compute, storage, and orchestration layers during the transition. • Architect and implement scalable batch and streaming data pipelines using Apache Spark, Delta Lake, and the medallion architecture. • Establish standards for pipeline design, data quality, and observability that the broader engineering organization can build on. • Take accountability for the reliability, performance, and cost-efficiency of production ETL jobs running on AWS (EMR, Glue) against terabyte-scale datasets. • Proactively identify and address bottlenecks, technical debt, and opportunities to improve throughput and resilience.