Daniel Whitfield is a versatile software engineer based in Berlin with 10 years of experience building backend systems, automation pipelines, and bioinformatics tools across pharmaceuticals, biotech, fintech and big data. Comfortable across Scala, Python, R, Rust, JavaScript and Ruby, he has delivered measurable automation wins—such as an alerting project that saved 25 hours per week—and owned end-to-end testing, CI/CD and Azure pipeline work. Currently contributing to scheduling and planning systems at Enpal and platform work at Snap, he blends hands-on coding with mentoring and cross-functional collaboration. His background in bioinformatics and nanotechnology informs a pragmatic approach to data-driven engineering and reproducible scientific tooling, evidenced by research-grade packages developed during his master's work. Always eager for roles in software, automation or bioinformatics, he brings an unusual mix of lab-born rigor and production-scale engineering.
10 years of coding experience
14 years of employment as a software developer
The University of Arizona
Master Bioinformatik, Master Bioinformatik at Freie Universität Berlin
Music Theory and Composition Mathematics, Music Theory and Composition Mathematics at Pima Community College
Associate of Science (A.S.) Accounting and Computer Science, Associate of Science (A.S.) Accounting and Computer Science at Scottsdale Community College
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