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 (116)

test-kitchen10
nix10
ruby10
automation10
infrastructure10
coreos10
rubygems10
nixos10
linux10
kubernetes10
java10
go10
nixpkgs10
docker10
docker-image10

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
docker-imagejenkins
aespinosa/cookbook-kube

Dec 2015 - Sep 2020

Custom Chef resources to launch a Kubernetes cluster
Contributions:112 commits, 16 PRs, 67 pushes in 4 years 9 months
kubernetes-clusterchefkubernetes
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