Rakesh Veeramacheneni
Staff Software Engineer at Databricks
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRakesh Veeramacheneni is a Staff Software Engineer in San Jose with a decade of experience building scalable data and cloud infrastructure across Databricks, Netflix, and Microsoft. He specializes in back-end systems for big data storage and compute, contributing notable fixes and feature work to high-profile open-source projects like Netflix/metacat and Azure/acs-engine. At Netflix he tackled API robustness and metadata lifecycle for Metacat, and at Microsoft he worked on Azure Data Lake, container service templates, and global SQL Azure features—demonstrating deep expertise in distributed systems, clustering, and API design. Known for solving hard problems with kind, passionate teams, he combines production-grade engineering with pragmatic feature delivery. His background includes an MS from University of Washington and early research and tooling work at Purdue, reflecting a strong mix of academic rigor and hands-on systems development.
10 years of coding experience
15 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at University of WashingtonBachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Purdue University
Github Skills (15)
javas10
go10
api10
apidoc10
back-end-development10
java10
spring-boot10
cpp-templates9
groovy9
html-template9
python-templates9
apptemplates9
code-templates9
json9
testing8
Programming languages (5)
Github contributions (5)
Netflix/metacat
Jan 2019 - Jan 2023
Role in this project:
Back-end Developer
Back-end DeveloperContributions:20 releases, 113 reviews, 60 commits in 4 years
Contributions summary:Rakesh primarily contributed to the `netflix/metacat` repository by fixing issues within the API and updating the codebase to support new features. The commits show the user worked on ensuring the correct handling of table updates, specifically addressing error handling and notification mechanisms. They also contributed to the addition of features, such as supporting a proxy catalog type, and added API to delete stale definition metadata. These changes suggest expertise in modifying the core functionality of the Metacat service.
Azure/acs-engine
Nov 2016 - Mar 2017
WE HAVE MOVED: Please join us at Azure/aks-engine!
Role in this project:Backend Developer
Backend DeveloperContributions:15 commits, 27 PRs, 15 pushes in 3 months
Contributions summary:Rakesh contributed significantly to the codebase by implementing features related to the classic profile and 09-30-2016 API, specifically within the `pkg/acsengine` and `pkg/api` directories. They focused on template modifications and data structure definitions. Their work also involved resolving package naming issues and making adjustments to the etcd clustering templates. This indicates a focus on cluster configuration and API development.
azure-aksazure-functionsaks-enginejoinazure
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