Alex Barbour
Staff Software Engineer at Tenable
United States
Summary
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Top SchoolAlex Barbour is a Staff Software Engineer with 8 years of experience building distributed systems, microservices, and data platforms, currently driving critical database migrations and architecture work at Tenable. He has deep JVM and Kafka expertise and a track record of breaking monoliths into scalable services, including designing compacted data systems and high-performance caching microservices that improved responsiveness. Comfortable across languages and stacks, Alex pairs Python, JavaScript, and SQL skills with practical statistical and visualization interests that inform data-driven product decisions. He began his career in technical support and infrastructure, which gave him a strong customer-focus and troubleshooting discipline that still influences his engineering and cross-functional collaboration. Outside of code he’s equally likely to be found barbecuing as iterating on data visualizations, reflecting a pragmatic, hands-on approach to both engineering and experimentation.
7 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Computer Science/Cybersecurity, Bachelor's degree, Computer Science/Cybersecurity at University of Maryland University CollegeUMBCAssociate's Degree, Computer Science: Information Systems Management, Associate's Degree, Computer Science: Information Systems Management at The Community College of Baltimore County
Github Skills (12)
user-input9
billboard8
rapidapi8
tonejs6
web-application6
music6
react5
webapp5
spotify5
api4
reveal-js4
javascript3
Programming languages (2)
Github contributions (5)
AGBarbour/Anatomy-of-Music
Oct 2018 - Jun 2019
A collaborative analysis of popular music. We sourced our data from billboard.com and the Spotify Web API. Our presentation was created using reveal.js.
Contributions:27 commits, 29 pushes, 1 branch in 7 months
apipresentationjavascriptbillboardspotify
AGBarbour/Spotify-Recommendations
Nov 2018 - Nov 2018
Interactive web app aimed at generating song recommendations based on user input
Contributions:19 commits, 9 pushes, 1 branch in 13 days
songreactweb-appweb-applicationrapidapi
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