Jay Sen is a Director of Engineering in the San Francisco Bay Area with 11 years of experience building scalable data platforms across startups and large enterprises. He currently leads PayPal’s data analytics and management efforts—owning first- and third-party tracking, experimentation, and a Data Mesh that supports millions of datasets. Jay blends deep backend engineering (contributions to Apache Eagle and committer roles in Gobblin) with product and operational leadership, having driven petabyte-scale data movement and automated cluster health systems. His work has repeatedly improved performance, reduced cost and operational load, and enabled rapid cloud migration for critical workloads. Beyond PayPal, he advises and invests in data and workflow startups, reflecting a strong commitment to open source and emerging data infrastructure. Practical, hands-on, and strategic, he’s comfortable moving between code, ML-driven data classification, and organization-level platform strategy.
11 years of coding experience
13 years of employment as a software developer
Master Computer Science, Master Computer Science at University of Southern California
Information Technology Engineering, Information Technology Engineering at Savitribai Phule Pune University
Contributions summary:Jay primarily focused on enhancing the Apache Eagle project's backend functionality and stability. Their contributions included fixing null pointer exceptions in resource fetching, modifying code to accept null values in database interactions, and correcting a logger class within the codebase. They also worked on updating the Docker image and contributed to merging branches and adding license headers.
Python client bindings for the Apache Ambari REST API
Contributions:3 commits in 6 months
apipythonapachepython-clientrest
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