Andrew Hancock is a Senior Data Engineer with over two decades of software and data experience and a 12-year focused career building scalable data platforms for finance and healthcare. He architects and implements data warehouses, lakes, and high-throughput processing systems using Python, Java, C#, and SQL, and led enterprise data lake development at Johnson & Johnson. Notable for creating and maintaining J&J’s open-source Transformation Generator, he blends hands-on engineering with reusable tooling that accelerates ETL development. His background includes designing Hadoop-based pipelines that processed hundreds of terabytes and real-time event systems handling hundreds of millions of daily events, demonstrating both batch and streaming expertise. Based in Rhode Island, he brings a pragmatic, performance-first approach to complex data problems and a history of turning prototypes into production-driving platforms.
12 years of coding experience
20 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at West Chester University of Pennsylvania
Contributions:8 pushes, 1 branch in 1 year 6 months
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