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.
15 years of coding experience
10 years of employment as a software developer
Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at University of Chicago
Bachelor of Science, Electronics and Communications Engineering, Bachelor of Science, Electronics and Communications Engineering at Ateneo de Manila University
Contributions:5 pushes, 3 branches in 4 years 2 months
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