Summary
Jay Dev is a data engineer based in Chicago with eight years of experience turning messy, fragmented data into reliable, actionable assets across cloud-native AWS and Azure ecosystems. He combines deep data engineering expertise—building scalable ETL, batch and real-time streaming pipelines with Kafka, Snowflake, Airflow, and Spark—with a full-stack software background that helps bridge engineering, product, and analytics teams. Jay has delivered production systems that process millions of records daily, automated pipeline validation and testing at scale, and applied ML and OCR research to practical data problems. Comfortable with both infrastructure and developer ergonomics, he emphasizes operational excellence, CI/CD-driven workflow automation, and cost-optimized architectures. Outside core projects he builds at snoolink and brings a research-minded approach from prior ML work, making him adept at prototyping novel solutions and shipping them into production.
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 Illinois State University
Bachelor of Technology - BTech, Honors in Information and Communication Technology with Minor in Computational Science, Bachelor of Technology - BTech, Honors in Information and Communication Technology with Minor in Computational Science at Dhirubhai Ambani Institute of Information and Communication Technology
English, Hindi, Gujarati, Marathi