Reetika Agrawal
Staff Software Engineer at IBM
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolReetika Agrawal is a Staff Software Engineer based in Bengaluru with 10 years of experience building and operating large-scale data platforms and distributed query services. She helped design and run petabyte-scale ecosystems at Walmart Global Tech, led engineering work on cloud-managed query services at early-stage Ahana, and joined IBM after Ahana’s acquisition to continue scaling Data & AI offerings. A hands-on backend engineer and code owner in the Presto community, she contributed features like Elasticsearch connector IP type support and column metadata enhancements to the widely used Presto distributed SQL engine. She combines deep practical experience in Spark, Hadoop, Hive, and observability for multi-cluster production environments with active open-source stewardship. Notably, she’s been involved from startup GA through Series A and acquisition, giving her both product-stage savvy and enterprise delivery discipline.
11 years of coding experience
7 years of employment as a software developer
Class XII CBSE, Class XII CBSE at SIDDHARTH PUBLIC SCHOOLClass X State Board(U.P.), Class X State Board(U.P.) at Saraswati BalikaVidya MandirBachelor of Engineering (B.E.) Information Technology, Bachelor of Engineering (B.E.) Information Technology at PESIT
Hindi, English
Github Skills (10)
query-engine10
javas10
elasticsearch10
elasticsearchquery10
aws-elasticsearch10
sql10
datatypes10
java10
elasticsearch-api10
amazon-elasticsearch10
Programming languages (7)
Github contributions (5)
prestodb/presto
Aug 2020 - Nov 2022
The official home of the Presto distributed SQL query engine for big data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:602 reviews, 25 commits, 151 PRs in 2 years 3 months
Contributions summary:Reetika's commits primarily focused on extending the Elasticsearch connector for the Presto query engine. They implemented support for the `ip` data type, adding it to the Elasticsearch connector and integrating it into test cases. This involved modifying Java code in the `elasticsearch` package to decode `ip` data type and related tests for validation, contributing to increased data type support within the Presto distributed SQL query engine. Additionally, the user added functionality to show the column comment with metadata.
big-dataprestosql-queryjavahive
agrawalreetika/presto
Dec 2019 - May 2023
Official home of the community managed version of Presto, the distributed SQL query engine for big data, under the auspices of the Presto Software Foundation.
Contributions:40 pushes, 7 branches in 3 years 5 months
big-dataprestosql-query
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