Stephen Parente

Technical Director, Data

Raleigh-Durham-Chapel Hill Area United States
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Summary

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Stephen Parente is a Technical Director for Data at Epic Games with 12 years of experience building large-scale data and server systems across gaming and entertainment. He leads centralized big data efforts—observability, data streaming, real-time analytics and long-term analytics—while previously architecting server infrastructure and scaling for Blizzard’s mobile title Warcraft: Arclight Rumble. An active open-source contributor, he created and improved build/deploy workflows for the widely used node-rdkafka bindings, reflecting a strong DevOps slant alongside pure engineering. Based in the Raleigh-Durham area, he combines hands-on implementation with technical leadership, and his BA in Philosophy hints at a pragmatic, analytical approach to complex system design.
code12 years of coding experience
job12 years of employment as a software developer
bookNew Rochelle High School
bookBachelor of Arts (BA) Philosophy, Bachelor of Arts (BA) Philosophy at The Catholic University of America
languagesItalian
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Github Skills (7)

github-ci10
githubaction-workflow10
cicd10
build-automation10
bash9
script9
git9

Programming languages (10)

C#JavaC++ShellCSCSSJavaScriptGo

Github contributions (5)

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Blizzard/node-rdkafka

Aug 2016 - Oct 2022

Node.js bindings for librdkafka
Role in this project:
userDevOps Engineer
Contributions:25 releases, 230 commits, 223 PRs in 6 years 3 months
Contributions summary:Stephen primarily focused on improving the project's build and deployment processes. They modified the `make_docs.sh` script to automate the publishing of documentation to `gh-pages`. They also addressed issues within the deploy gem script. These changes indicate a focus on streamlining the build and release workflow, highlighting a DevOps engineering role.
node-jsproducernodejsjs-bindingskafka
webmakersteve/docker-games

Dec 2016 - Jan 2022

Contributions:6 pushes, 1 branch in 5 years 2 months
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Stephen Parente - Technical Director, Data