Rahul Jain is a Principal (Jr.) Data Engineer with nine years of experience building production-grade data platforms and analytics for finance and consulting clients, currently at McKinsey & Company in Washington, DC. He has a strong track record of leading teams to deliver AML models, ETL tooling and cloud migrations—having automated MLRA workflows to boost efficiency by 30% and replaced costly proprietary ETL licensing with open-source Python solutions. Comfortable across Snowflake, Redshift, Hadoop, AWS and Spark, Rahul blends hands-on engineering, model development and stakeholder-facing delivery to move projects from proof-of-concept to production. His background spans data science, SAP basis administration and research, giving him uncommon operational depth for a data engineering leader. Trained in business analytics and project management at UConn, he focuses on practical, cost-saving solutions that translate complex risk and fraud signals into actionable reporting.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.E.) Information Technology, Bachelor of Engineering (B.E.) Information Technology at Shri G S Institute of Technology & Science
Master’s Degree Business Analytics and Project Management, Master’s Degree Business Analytics and Project Management at University of Connecticut
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