Amar Kumar

I’m a backend and data engineering software engineer with 10+ years of experience building Python-based pipelines and cloud-enabled services in enterprise environments. I focus on delivering reliable production systems while modernizing legacy workflows into scalable, maintainable platforms.

At Tata Consultancy Services, I designed and developed a framework to migrate over 1000 IBM TWS job streams to Apache Airflow (AWS MWAA), reducing operational costs by 20%. I modernized legacy PySpark and Informatica pipelines by re-engineering them onto AWS Glue, then implemented Test Data Management using Redshift Dynamic Masking and PySpark to replace a high-cost third-party tool. I also engineered Redshift-based PII masking, data retention, and secure deletion processes to meet stringent regulatory compliance requirements.

I build end-to-end data solutions that connect backend services to downstream analytics—creating Python + PySpark ETL workflows for Adobe Experience Platform (AEP), and scalable ingestion pipelines for Salesforce API data loaded into AWS S3 for healthcare analytics. I’ve also contributed to a Python and PostgreSQL Decision Hub recommendation engine, and I bring a delivery mindset shaped by automation, distributed teamwork, and improving developer velocity with tools like GitHub Copilot.