Mehakmeet Singh is a Senior Software Engineer with nine years of experience specializing in Java backend work and large-scale distributed systems, currently at Roku after impactful tenures at Cloudera and Oracle. As an Apache Hadoop Committer, she has merged 40+ pull requests and driven key improvements to Azure Blob FS (ABFS) and S3A integrations—adding stream statistics, resolving concurrency and rename bugs, and strengthening build/test and HTTPS proxy support for one of the most widely used big-data platforms. She blends hands-on performance optimization and DevOps automation with production-grade architecture, particularly around I/O statistics and telemetry for Hive and Spark workloads. An invited speaker at ApacheCon 2022, she pairs open-source advocacy with practical engineering to deliver observable, reliable cloud connectors that benefit enterprise Hadoop users.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Vellore Institute of Technology
Science with Computer Science, Science with Computer Science at DPS, Jammu
Contributions:209 reviews, 68 commits, 89 PRs in 2 years 9 months
Contributions summary:Mehakmeet has primarily contributed to the Apache Hadoop project, focusing on the Azure Blob File System (ABFS) implementation. Their work involved enhancing the system's performance through adding stream statistics counters, optimizing I/O operations, and resolving concurrency issues. They also addressed bugs related to rename operations and integrated improvements to enhance the system's overall reliability. Furthermore, they contributed to build and test infrastructure, as well as improved the support for HTTPS proxies.
Contributions:1 release, 158 pushes, 69 branches in 3 years 8 months
apachebig-datasparkdatastreamhadoop
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