Summary
Vipul Munot is a Data Engineer II with a decade of experience building scalable, secure data platforms across AWS and Azure, currently designing production ETL pipelines and data lakes at Amazon Web Services. He transitioned from software development and ML roles into cloud-native data engineering, bringing hands-on expertise with Glue, Redshift, Lambda, S3, Kubernetes, Docker, and Terraform alongside modern CI/CD practices. Known for reducing costs while improving performance, he balances architecture and implementation with a knack for mentoring teams and establishing engineering best practices. Vipul’s background includes an MS in Data Science and an MBA in Finance, which helps him align technical solutions with business objectives and compliance needs. Based in the Washington DC–Baltimore area, he stays committed to continuous learning and often focuses on operationalizing ML and data workflows for measurable business impact.
10 years of coding experience
9 years of employment as a software developer
Master of Science (MS) Data Science, Master of Science (MS) Data Science at Indiana University Bloomington
Master of Business Administration (MBA) Finance, Master of Business Administration (MBA) Finance at IBS Business School, Pune
Bachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at Savitribai Phule Pune University
English, Hindi, Marathi, Marwari