Jeremy Jay

Director Of Data And Platform Engineering

Charlotte, North Carolina, United States
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Summary

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Senior
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Top School
Jeremy Jay is a data and platform engineering leader with 14+ years building cloud-native systems, most recently serving as Director of Data and Platform Engineering and previously as Principal Architect at Method. He blends hands-on backend and database engineering—contributing to the open-source Cayley graph database—with strategic cloud architecture and digital transformation experience across retail and research sectors. As founder of VirtualPosterSession.org and two startups, he has taken technical projects from prototype to sustainable revenue and live events with thousands of visitors. His academic background (PhD in Computer Science) and research experience in automated data integration and ML pipelines inform a pragmatic, data-first approach to platform design and team mentorship. A detail that often surprises peers: he couples enterprise-scale delivery with low-level datastore refactors, showing equal fluency in leadership and deep systems work.
code14 years of coding experience
job12 years of employment as a software developer
bookMS Computer Science, MS Computer Science at University of Tennessee, Knoxville
bookPhD Computer Science, PhD Computer Science at University of Maine
bookBSI Bioinformatics, BSI Bioinformatics at Baylor University
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1,323reputation
37kreached
5answers
2questions
Badges
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Github Skills (17)

back-end-development10
leveldb10
graph-database10
mongodb-database10
go10
database-design10
mongodb10
api-design9
xcode9
uiscrollview9
database-management9
x5096
memory-management6
objective-c6
ios6

Programming languages (10)

TypeScriptJavaShellC++CMakefileJavaScriptGo

Github contributions (5)

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cayleygraph/cayley

Jul 2014 - Jul 2014

An open-source graph database
Role in this project:
userBack-end Developer & Database Engineer
Contributions:9 commits in 12 days
Contributions summary:Jeremy primarily focused on improving the backend of the Cayley graph database. Their work included refactoring code to use a registry interface for different backend triple stores (like MongoDB and LevelDB), demonstrating a focus on modularity and extensibility. They also modified database initialization and loading procedures, as well as updated method names. These modifications reveal a deep understanding of the database's internal workings and the various storage backends that Cayley supports.
cayleylinked-datadatabasegraphgraph-database
pbnjay/anydata

Jan 2014 - Sep 2015

Contributions:16 commits, 1 push in 1 year 8 months
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