Greeshma Swaminathan
Software Engineer at Google
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolGreeshma Swaminathan is a seasoned backend software engineer with around 11 years of experience building scalable, distributed systems for enterprise customers across data lifecycle management, object storage, e-discovery, telecom and banking. Currently at Google working on cloud data analytics, she brings deep Java expertise and a proven track record of improving platform capabilities—evidenced by contributions to the open-source CDAP framework around Dataproc integration, CLI improvements, metrics and event publishing. Her past work spans designing petabyte-scale object storage resiliency, prototyping a MapReduce-on-storage-node framework, and tuning JanusGraph/Elasticsearch for high-performance search. Comfortable across languages and paradigms (Go, Erlang/Elixir, Java) and environments from microservices to PaaS and research systems, she combines hands-on implementation with system-level design. Based in Sunnyvale, she pairs curiosity-driven learning with practical, production-focused engineering to solve big-data and scalability challenges.
10 years of coding experience
13 years of employment as a software developer
University of California Santa CruzBachelor of Technology (B.Tech.), Information Technology, Bachelor of Technology (B.Tech.), Information Technology at Cochin University of Science and Technology
Stackoverflow
36reputation
985reached
3answers
0questions
Github Skills (15)
javas10
back-end-development10
java10
cdap10
gcp9
apidoc9
metric9
api8
dataproc8
cli8
apache-spark6
shopware6
csv6
google-cloud-platform6
directive6
Programming languages (6)
Github contributions (5)
cdapio/cdap
Jun 2020 - Dec 2022
An open source framework for building data analytic applications.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 releases, 571 reviews, 263 commits in 2 years 6 months
Contributions summary:Greeshma primarily contributed to enhancing the capabilities of the CDAP framework. Their work included implementing support for custom images in Dataproc, modifying the CLI to remove host:port assumptions, and adding annotations for capabilities within the application. They also focused on integrating metrics and event publishing, as well as refactoring and extending features to streamline functionality. The user's contributions indicate a focus on improving the core platform and related services.
integrationpythonanalyticsanalyticjava-8
greeshmaswaminathan/290S
Feb 2016 - Mar 2016
Contributions:5 PRs, 18 pushes, 1 branch in 18 days
pythonmachine-learning
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