At Fannie Mae, I optimize distributed data migration and ETL systems for large-scale datasets. I reduced migration latency by 66%—from six to two hours per million records—using multithreaded Python and multipart S3 reads across 400M+ files.
I build AWS automation that improves reliability and security, including Lambda-based configuration workflows, cross-account pipelines for 23+ microservices, and Terraform-based infrastructure remediation. My testing work with PyTest helped maintain 99.9% data integrity.
Previously, I improved React and PostgreSQL application performance at Pyramid IT Solutions and built JavaScript REST API notification systems at Tata Consultancy Services. I also develop CI/CD, NLP, and machine-learning projects using Jenkins, Docker, AWS, Python, Scikit-learn, and NLTK.
