Summary
Santhanu Sunitha is a Senior Data Engineer based in the New York City area with nine years of experience designing and migrating large-scale enterprise data systems, currently focused on AWS data engineering at IBM. He has built fault-tolerant, scalable ETL frameworks and led migrations from IBM DB2 to AWS Aurora Postgres using Glue, EMR, DMS and Lambda, while embedding automated data validation and observability via Splunk and CloudWatch. His background in legacy mainframe development (COBOL, DB2, Endevor) gives him a rare end-to-end perspective on modernizing critical financial and healthcare systems. A Georgia Tech OMSCS graduate with a machine learning specialization, he pairs cloud-native engineering with academic rigor and a practical knack for performance tuning and cost optimization. Notably, he has operationalized enterprise lift-and-shift patterns reused across hundreds of migrations, accelerating large client cloud transformations.
9 years of coding experience
7 years of employment as a software developer
OMSCS Master's degree, Computer Science ( Machine Learning ), OMSCS Master's degree, Computer Science ( Machine Learning ) at Georgia Institute of Technology
Bachelor of Technology - BTech, Mechanical Production Engineering, Bachelor of Technology - BTech, Mechanical Production Engineering at SCT College of Engineering
English, Malayalam, Hindi