Dana Alcalá is an engineering consultant and former staff engineer based in San Francisco with three years of focused experience in data engineering and application security, complemented by broader technical roles stretching back to research and data analysis. She blends hands-on Python development, testing, and security practices with tech lead and project management experience to deliver well-refactored, well-tested systems while prioritizing developer happiness. A daily open-source contributor to PyCQA projects like Pylint, she has implemented bug fixes and enhanced static analysis messages—work that improves tooling relied on across the Python ecosystem. Her background in computational analysis and international political economy gives her a rare mix of quantitative rigor and cross-disciplinary communication, and she maintains an active public coding presence (http://danilito19.github.io/) demonstrating consistent daily commits.
3 years of coding experience
8 years of employment as a software developer
BS, International Political Economy, BS, International Political Economy at The University of Texas at Dallas
Master's Degree, Computational Analysis, Master's Degree, Computational Analysis at Harris School of Public Policy at the University of Chicago
Contributions:187 reviews, 76 commits, 74 PRs in 4 months
Contributions summary:Dana made several contributions focused on improving the Pylint codebase. They added a deprecated module check, updated an assert-on-tuple check, and added child class name and confidence to an abstract-method message. They also fixed bugs related to no-member detection in augmented assignments, improved the unused-variable detection, fixed a crash in the modified_iterating checker for set defined as a class attribute, and added documentation examples for different messages.
Contributions:13 releases, 515 reviews, 574 PRs in 1 year 7 months
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Dana Alcalá - Engineering Consultant at Multiple Companies