Hari S is a Lead Software Engineer based in the Greater Seattle area with 12 years of experience designing and scaling data platforms and database internals across enterprises and open-source. He has driven performance, consistency, and observability improvements at companies like Salesforce and AWS, and now leads data scale and persistence work at ServiceNow. An Apache Hive committer since 2013, Hari has contributed impactful fixes and features to a cornerstone big-data project—improving query memory use, JSON handling, and primary/foreign key support. His background spans optimizer and execution-engine work from Oracle to Aurora and Babelfish, giving him deep expertise in cost-based optimization and parallel query execution. Colleagues rely on him for solving hard scalability problems and turning research-grade ideas into production-grade database infrastructure.
12 years of coding experience
16 years of employment as a software developer
Bachelor of Technology Computer Science and Engineering, Bachelor of Technology Computer Science and Engineering at College of Engineering Trivandrum
Masters Computer Science, Masters Computer Science at Cornell University
Contributions summary:Hari contributed significantly to the Apache Hive project, focusing on addressing various bugs and implementing improvements related to data handling and query processing. Their work includes fixing issues in JSON serialization, enhancing test portability, and resolving errors in `drop view` operations. They also worked on optimizing memory usage in queries, specifically related to `ORDER BY` with large `LIMIT` clauses. Furthermore, they were involved in implementing support for primary and foreign key constraints.
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