Jack Dingilian is a Senior Software Engineer based in the New York City area with a decade of experience building scalable back-end systems at Google and Spotify. He specializes in distributed data processing and backend integrations, having contributed to Apache Beam—specifically the Google Cloud Bigtable Change Stream Connector—where he implemented partitioning, concurrency locks, and split/merge handling to ensure data consistency. His background spans roles from data engineering to senior platform development, giving him a strong practical grasp of streaming, batch processing, and production reliability. A UVA graduate in Computer Science and Economics, he brings both technical depth and a pragmatic product sensibility to complex engineering challenges. Unobvious but valuable: he routinely bridges open-source connector work with large-scale cloud services, turning research-grade features into production-hardened components.
10 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Computer Science and Economics, Bachelor’s Degree, Computer Science and Economics at University of Virginia
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Back-end Developer
Contributions:13 reviews, 11 PRs, 39 comments in 1 year 8 months
Contributions summary:Jack's primary focus was on the development and maintenance of the Google Cloud Bigtable Change Stream Connector for the Apache Beam project. Their contributions included implementing features, such as generating initial partition lists and handling heartbeat responses. They also addressed code review feedback, fixed dependencies, and refactored existing code. Key tasks included locking partitions for concurrent access and handling split and merge operations to ensure data consistency.
Contributions:1 PR, 32 pushes, 22 branches in 2 years 3 months
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Jack Dingilian - Senior Software Engineer at Google