Summary
Harshita Agrawal is a software engineer with a decade of experience building distributed data and cloud-native systems, holding an MS in Computer Science from Northeastern University. She has deep hands-on experience across the Hadoop ecosystem and AWS, with multiple engineering roles at Amazon Web Services and prior Big Data development work migrating multi‑TB clinical datasets into HDFS. Her background spans backend services, serverless architectures, data pipelines, and front-end work from earlier web-editing experience, enabling her to bridge full-stack delivery and data infrastructure. At New York Life she led development of underwriting workflows and real-time notifications using AWS Lambda, DynamoDB and SWF, demonstrating an ability to translate domain needs into reliable cloud solutions. She combines academic mentoring experience in algorithms and discrete structures with a practical focus on performance and automation, and maintains a keen interest in open-source distributed systems like Spark and Bigtop. Notably, her career reflects both production-scale engineering at AWS and a history of building flexible ETL tooling that adapts to changing data sources.
10 years of coding experience
8 years of employment as a software developer
Master of Science (MS), Master of Science (MS) at Northeastern University
Bachelor of Technology (B.Tech.), Bachelor of Technology (B.Tech.) at Amity School of Engineering and Technology
Cambridge School, Noida
English, Hindi, French