Prateek Jain
Principal Data Engineer @Munich Re
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WORK HISTORY
Principal Data Engineer @Munich Re
Define and execute data strategy for the U.S. data engineering organization, establishing coding standards, best practices, and workflows for consistent, scalable delivery- Architect and automate data pipelines using Azure Data Factory, Databricks, and Azure Data Lake, enabling faster access to critical data and improving processing efficiency- Spearheaded migration of 10+ ETL pipelines from on-premise to Azure Cloud, enhancing data security, scalability, and reliability- Developed custom web-based analytics tools (Flask, PHP, ChartJS) that replaced Power BI for internal reporting, reducing licensing costs and providing real-time insights- Designed a unified data integration framework that automated data consolidation for actuarial teams, cutting manual work by 60% and improving data accuracy- Optimized large-scale data ingestion using distributed computing in PySpark, improving throughput and scalability for terabyte-scale datasets- Lead architectural decisions across projects, including DevOps setup for Databricks pipelines, alerting frameworks, and test automation standards using pytest.
EDUCATION
Punjab Engineering College
Bachelor of Engineering (B.E.), Computer Science
Rutgers University
Master's of Business and Science, Data Science and Analytics
SKILLS
ABOUT PRATEEK JAIN
Results-driven Principal Data Engineer with 9+ years of experience building and leading scalable cloud data platforms. Expert in architecting data pipelines on Azure, Databricks, and Spark, defining engineering standards, and delivering high-performance data solutions that enable real-time analytics and business agility. Proven record of leading global data initiatives, driving cloud migration, and optimizing large-scale data operations.
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