John Cavalieri

Software Engineer at Amazon

San Diego, California, United States
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Summary

👤
Senior
🎓
Top School
John Cavalieri is a software engineer with a decade of experience building cloud-native, data-intensive systems, currently developing rewarded ads at Amazon in San Diego. He has a strong background in designing scalable ML and media processing pipelines—at Authenticx he helped architect a system that processed and transcribed over a million media files per day and migrated serverless workloads into Kubernetes. His earlier roles include data ingestion and ETL work in Azure and practical automation like a Teams bot to surface ETL errors, reflecting a pragmatic approach to reliability and ops. Comfortable across cloud platforms and orchestration, he combines MS and BS degrees in computer science (and a BS in mathematics) with hands-on production experience. Colleagues would describe him as someone who converts ambitious throughput requirements into maintainable systems while keeping an eye for incremental improvements.
code10 years of coding experience
job5 years of employment as a software developer
bookUMass Lowell
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Github Skills (6)

csharp7
dotnet7
command-line-interface5
azure5
azure-cli2
workflow-engine2

Programming languages (2)

C#Python

Github contributions (5)

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jcavalieri8619/DIstMutexLib

Jan 2017 - Aug 2022

Contributions:23 pushes, 1 branch in 5 years 7 months
Contributions:36 commits, 35 pushes, 1 branch in 4 days
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