Bhuvnesh Chaudhary
Senior Engineering Manager at VMware
Fremont, California, United States
Summary
👤
Senior🎓
Top SchoolBhuvnesh Chaudhary is a Senior Engineering Manager with 11 years of experience specializing in MPP databases, big data ecosystems, and scalable query processing. At VMware he leads R&D teams for Greenplum query optimizer (ORCA), MADlib machine learning, and federated query access (PXF), driving open-source projects used to query Hive, HBase, Spark and S3. A hands-on engineer turned manager, he has deep C++, Go, and Python expertise and has touched nearly every area of the Greenplum codebase from developer to leader. He is an active Apache committer and contributor to high-impact projects such as Apache Ambari and HAWQ, bringing operational experience across HDFS, YARN, Hive, Kerberos and ETL with IBM DataStage. Known for building strong development teams and technical leaders, he combines product-scale engineering with research influence—authoring work on join enumeration within top-down optimizers. Based in Fremont, CA, he blends production-grade systems know-how with a passion for making data accessible and performant at scale.
11 years of coding experience
10 years of employment as a software developer
B.Tech, Electronics & Communication, B.Tech, Electronics & Communication at G.L.A Institute of Technology and Management
Github Skills (8)
javas10
configuration-management10
ambari10
hawq10
java10
big-data9
python8
javascript6
Programming languages (7)
Github contributions (5)
apache/ambari
Mar 2016 - Jul 2016
Apache Ambari simplifies provisioning, managing, and monitoring of Apache Hadoop clusters.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:91 commits in 4 months
Contributions summary:Bhuvnesh primarily contributed to the Apache Ambari project by addressing configuration issues and implementing new features. They focused on enhancing the handling of configuration updates and removals within the Ambari framework. Additionally, the user made modifications to the HAWQ service, including renaming actions, adding alerts, and enabling bulk operations, indicating a focus on service management and integration. The user's work also involved modifying HDFS configuration and updating HAWQ related configurations.
provisioningpythonclustersjavascriptapache
bhuvnesh2703/gp_stats_check
Aug 2015 - Oct 2018
Utility to identify if the tables involved in a query are analyzed or not
Contributions:2 PRs, 1 push, 2 branches in 3 years 3 months
querysqlidentify
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