Allan Espinosa

Hadoop SRE at Bloomberg LP

New York, New York, United States
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Summary

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Allan Espinosa is a Hadoop SRE and seasoned DevOps engineer with 15 years building and scaling large private cloud and big-data infrastructures, currently running Hadoop ecosystems at Bloomberg in New York. He combines hands-on experience from supercomputing and scientific computing—optimizing workloads across thousands to tens of thousands of CPUs—with practical DevOps skills in containerization, CI, and PaaS operations. His background includes operating one of the largest CloudFoundry deployments, reducing release cycles dramatically, and contributing to research tools like Swift and Falkon during doctoral work. Author of Docker High Performance, Allan brings a pragmatic distributed-systems mindset (self-described as avoiding “buzzword bingo”) and a track record of turning complex capacity and operability challenges into repeatable production solutions.
code15 years of coding experience
job10 years of employment as a software developer
bookMaster of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at University of Chicago
bookBachelor of Science, Electronics and Communications Engineering, Bachelor of Science, Electronics and Communications Engineering at Ateneo de Manila University
languagesFilipino, English, Japanese
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Github Skills (188)

test-kitchen10
bloomberg10
jenkins-api-plugin10
nix10
ruby10
scheduling10
reporter10
automation10
infrastructure10
jenkins-plugin10
coreos10
client-library10
rubygems10
nixos10
linux10

Programming languages (9)

JavaShellC++JavaScriptGoHTMLNixRuby

Github contributions (5)

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aespinosa/docker-jenkins

Jul 2013 - Nov 2017

Builds a Docker image for Jenkins
Contributions:156 commits, 3 PRs, 84 pushes in 4 years 4 months
jenkinsdocker-imagejenkins-pluginjenkins-api-pluginbuilds
aespinosa/planner

Apr 2016 - Jun 2020

Contributions:5 pushes, 3 branches in 4 years 2 months
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Allan Espinosa - Hadoop SRE at Bloomberg LP