Design and implement a data mesh using GraphQL to expose domain data products.
Build and maintain an AWS data lake with S3, Glue, Lake Formation, Athena, Redshift.
Develop and optimize ETL/ELT pipelines with AWS Glue and PySpark for batch/streaming workloads.
Implement AWS DMS pipelines to replicate data into Aurora PostgreSQL for near real-time analytics.
Support data governance, quality, observability, and API design.
Collaborate with product/engineering/analytics to deliver reusable data solutions.
Contribute to automation and CI/CD for data infra and pipelines.
Stay current with tech trends to evolve the platform.

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