Summary
Shivansh Sharma is a data engineer with 9 years of experience building high-performance ETL pipelines and analytics platforms across finance, healthcare, media, and nonprofit sectors. Currently a Data Engineer 2 at KAGR in New York, he has driven multi-million-record optimizations—using Spark graph algorithms to create golden records and cutting storage and query costs via Snowflake tuning and time-travel pruning. He combines cloud-native tooling (AWS Glue, S3, Step Functions), orchestration (Airflow, CircleCI), and streaming (Kafka) to reduce processing times and deployment errors while improving fault tolerance. Notably, he has engineered reusable connectors for CRM and REST APIs and implemented recovery and masking strategies that materially lowered manual intervention and compliance risks. An NYU MS in Computer Science with a 3.8 GPA, Shivansh pairs academic rigor with measurable production impact and a knack for turning complex data problems into cost-saving, scalable solutions.
9 years of coding experience
3 years of employment as a software developer
Master's, Computer Science, 3.8, Master's, Computer Science, 3.8 at New York University
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Institute of Engineering & Technology DAVV, Indore