Summary
Arnav Shah is a Data Engineer with eight years’ experience building cloud-native data pipelines and driving measurable performance gains for enterprise customers. Based in Seattle and currently at Cognizant, he led a migration to Snowflake and AWS services that cut data loading from 30 hours to 8 minutes, implementing an SCD Type 2 warehouse and orchestration across Airflow, S3, DMS, Athena and CloudFormation. He blends hands-on ETL and cloud infrastructure skills with a business-centric mindset, having worked across analytics, operations, and research roles at MAQ, NYU and startups. Calm under pressure and methodical in execution, he favors pragmatic automation to turn slow, brittle processes into reliable, scalable pipelines.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at New York University
Bachelor of Engineering (B.E.), Information Technology, Bachelor of Engineering (B.E.), Information Technology at L.D. College of Engineering
English, Gujarati, Hindi