Summary
Vinay More is a Data Engineer with about eight years of experience specializing in designing, building, and operating end-to-end ETL and serverless data pipelines on AWS for large-scale production systems. He has led data onboarding from diverse sources (APIs, remote DBs, S3) into modular, event-driven data lakes and implemented CI/CD, infrastructure-as-code, and disaster-recovery patterns at Amazon. Comfortable with ambiguity, he pairs strong hands-on skills in Glue, Lambda, Redshift, Athena, Spark (Scala/PySpark), and Python data tooling with a disciplined approach to code review, on-call troubleshooting, and pipeline optimization. He’s mentored junior engineers and translated business requirements into robust data models and automated workflows that reduce manual effort. Trained in AI (MS in Artificial Intelligence), he brings practical ML/data-science experience—NLP, feature engineering and recommendation systems—into production data platforms. Based in Seattle, he combines deep cloud-native pipeline expertise with a knack for turning ad hoc analytics needs into repeatable, scalable solutions.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at Savitribai Phule Pune University
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Pace University - Seidenberg School of Computer Science and Information Systems
English, Hindi, Marathi