Sree Vaddi

Palo Alto, California, United States

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Summary

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Rockstar

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Top School

Sree Vaddi is a strategic solutions architect and hands-on enterprise technologist with 13 years building large-scale data platforms, streaming systems, and multi-cloud architectures from Palo Alto. He has led global teams of 2–80 across industries including Web3, government, fintech, biomedical research and large retail, and administered petabyte-scale clusters (30 PB) running Hadoop ecosystems and modern message brokers like Pulsar and Kafka. A repeat hackathon winner and active open-source contributor (notably work aligning Marquez Python client and contributions to Apache Pulsar, Heron, Drill and others), he blends deep implementation skills with enterprise architecture and SaaS/PaaS strategy. He has modernized legacy systems (mainframe, SAP) via EAI and SOA, and advised startups in pharma animal trials while serving as chief strategic solutions architect on GitHub. Known for rapid learning and pragmatic problem solving, he pairs detailed coding/operational expertise with boardroom-level advisory experience.

13 years of coding experience

Bachelor of Engineering - BE, Bachelor of Engineering - BE at Osmania University

English, Telugu, Hindi

Stackoverflow

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Github Skills (9)

api10

back-end-development10

apidoc10

python10

api-design9

restful-api9

rest-api9

api-rest9

data-lineage8

Programming languages (12)

TypeScriptJavaCSSC++ShellCScalaJavaScript

Github contributions (5)

MarquezProject/marquez

Aug 2020 - Oct 2020

Collect, aggregate, and visualize a data ecosystem's metadata

Role in this project:

Back-end Developer

Contributions:1 review, 32 commits, 4 PRs in 2 months

Contributions summary:Sree primarily worked on updating and refactoring the Python client for the Marquez metadata service. Their contributions involved aligning the client with API changes, including updating the client.py file, fixing various issues such as missing imports, and refactoring code for reusability. They also addressed code quality issues by removing unused imports and fixing typos.

datavisualizedata-catalogdata-dictionarymetadata

sreev/spark

Apr 2015 - Jul 2023

Contributions:8 pushes in 8 years 4 months

apachebig-datasparkscalaapache-spark

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