Architect end to end AWS data platforms (S3, Lake Formation, Glue, Athena, EMR/Spark). Design multi account data governance, security, and access models. Develop scalable ETL/ELT pipelines using Python & PySpark. Implement IaC using Terraform and CI/CD using GitHub Actions. Optimize data pipelines for performance, quality, and cost. Collaborate with security, data science, and analytics teams. Must-Have Skills: 10 years' experience; 8 years hands-on in AWS data and devops services. Strong Python development background. Expertise in Lake Formation, Glue, Athena, S3, IAM, KMS. Advanced Spark/PySpark experience. Strong Terraform and GitHub Actions CI/CD implementation skills. Experience with multi-account AWS architectures and governance. Nice-to-Have: Iceberg/Delta/Hudi, DMS, EMR tuning. Data quality & lineage tools (Datahub). Exposure to regulated industries (Banking/Finance).