Jay Hannah is a veteran Data Engineer with 23 years of hands-on programming and architecture experience, currently focused on large-scale data systems, APIs, and cloud-native deployments from his base in Omaha. He blends deep technical leadership—having managed mission-critical OLTP teams supporting a $400M revenue stream—with sustained individual contributor work in Python, Golang, Perl, and SQL across bioinformatics, ad tech, e-commerce, and AI startups. Jay specializes in durable, observable systems: data modeling, TCP/IP services, high-availability multi-site architectures, JSON/XML processing, and rigorous TDD/CI-CD practices. He often bridges gaps as a DevOps generalist, writing Terraform and Docker-driven automation to productionize complex pipelines and recover abandoned legacy stacks. An open-source-minded engineer, he has contributed backend fixes and documentation to long-standing projects like BioPerl, and has a proven habit of untangling epic git disasters for fun. His career combines pragmatic operational discipline with an appetite for documentation, diagrams, and solving once-for-many reusable problems.
23 years of coding experience
27 years of employment as a software developer
B.S. Bioinformatics, B.S. Bioinformatics at University of Nebraska at Omaha
Mechanical Engineering, Psychology, Philosophy, Mechanical Engineering, Psychology, Philosophy at Iowa State University
Contributions:19 commits, 2 comments in 3 years 7 months
Contributions summary:Jay primarily contributed to the BioPerl library by modifying existing code, specifically within the `Bio::SeqIO` modules. They worked on the `gbxml.pm` and `largefasta.pm` files, addressing issues and adding support for new features. Several commits involved documentation updates and bug fixes, indicating a focus on maintaining the library's functionality and usability.
Contributions:16 pushes, 3 branches in 7 years 11 months
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