• Optimize and modernize Amazon Redshift environments, including consolidation into Redshift Managed Storage (RMS). • Lead or support migration from Provisioned Redshift to Redshift Serverless with zero or minimal downtime. • Analyze and tune Redshift SQL for performance across batch and ad-hoc analytical workloads. • Review and enhance data ingestion pipelines from AWS sources such as RDS, DynamoDB, and Kinesis. • Design data delivery into Apache Iceberg tables and Redshift with minimal duplication and high efficiency. • Collaborate with stakeholders on architecture recommendations and best practices.