Deependra Patel is a seasoned software engineer with 12 years’ experience building high-scale, low-latency distributed systems and big data platforms, currently contributing to Google Cloud Dataproc to bring OSS projects like Spark and Hadoop to GCP. He has a strong backend and systems focus—Java, data processing pipelines, APIs and resilience engineering—demonstrated by production work at Google and multiple roles across Amazon where he launched services, owned security reviews, and grew teams. Deependra is an active open-source contributor (notably improving reliability and retries in GoogleCloudDataproc/hadoop-connectors) and combines hands-on DevOps improvements with heavy testing and integration work. He’s comfortable leading end-to-end product delivery from design to release and has a track record of operationalizing services for international and high-throughput use.
Libraries and tools for interoperability between Hadoop-related open-source software and Google Cloud Platform.
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:2 releases, 113 reviews, 25 commits in 6 months
Contributions summary:Deependra made several contributions related to improving the reliability and performance of the Hadoop connectors. They enabled TCP keep-alive functionality, decreased bucket prefix size to adhere to storage limits, and added and expanded integration tests, especially those with Traffic Director enabled. The user also implemented request retries for timeout errors, enhancing the system's resilience.
Contributions:49 commits, 24 pushes in 2 years 9 months
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