Raj Singh is a Lead Member of Technical Staff based in San Francisco with 12 years of experience building and troubleshooting large-scale data platforms and distributed systems. He is a pragmatic Big Data and data engineering expert—an Apache Hive committer and longtime contributor who has fixed performance, transaction, and metastore issues in one of the most widely used SQL-on-Hadoop engines. At Salesforce and previously at Cloudera, Hortonworks and MapR he has driven escalations, performance tuning, hybrid cloud migrations, and product fixes across Hive, Druid, Flink, Kafka and Spark. Raj combines deep hands-on coding in Java/Scala/Golang with customer-facing war-room leadership, turning high-severity incidents into lasting product improvements. An interesting detail: his open-source work on HiveServer2 logging and metadata retrieval reflects a focus on observability and operational resilience that shows through his support-oriented engineering roles.
12 years of coding experience
9 years of employment as a software developer
Bachelor of Technology - BTech, Bachelor of Technology - BTech at Dr. A.P.J. Abdul Kalam Technical University
Contributions:2 reviews, 13 commits, 22 PRs in 2 years 11 months
Contributions summary:Raj primarily contributed to bug fixes and enhancements within the Apache Hive codebase. Their work focused on resolving issues related to query performance, transaction handling, and logging. Specific changes addressed problems with table metadata retrieval, transaction management in the metastore, and improvements to HiveServer2. They also made fixes for the user interface within the HiveServer2 logs.
Contributions:4 commits, 3 pushes, 1 branch in 5 months
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Raj Singh - Lead Member Of Technical Staff at Salesforce