Shane Putnam
Full-Stack Software Engineering Team Lead at Dewberry
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolShane Putnam is a Full-Stack Software Engineering Team Lead and hydrologist with a decade of experience blending environmental science and software to solve flood risk, forecasting, and national-scale hydrologic data challenges. He leverages a PhD-level grounding in environmental engineering and hands-on programming to translate complex H&H models into production-ready tools for local, state, and federal partners. At Dewberry he has progressed from project hydrologist to senior scientist and now leads full-stack engineering efforts, demonstrating both technical depth and people-focused delivery. Shane’s work sits at the intersection of domain expertise and software architecture, enabling reproducible, data-driven resilience studies. He is active on GitHub and known for turning rigorous research methods into operational solutions that inform real-world decision-making. Based in Washington, D.C., he brings an unusual combination of field-tested hydrologic insight and modern engineering practices to civic-scale risk problems.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science - BS, Water Resources Science, Mathematics, and Chemistry, Bachelor of Science - BS, Water Resources Science, Mathematics, and Chemistry at SUNY OneontaJohns Hopkins UniversityDoctor of Philosophy - PhD, Environmental Engineering, Doctor of Philosophy - PhD, Environmental Engineering at Johns Hopkins Whiting School of Engineering
English
Github Skills (33)
papermill10
hydrology10
scenarios9
ras9
probabilistic9
content-model9
hec-ras9
golang6
crossword5
complexity5
api5
requirements-management4
fmi4
go4
philosophy3
Programming languages (3)
Github contributions (5)
Dewberry/usgs-tools
Feb 2019 - Jan 2020
Workflows for interacting with the USGS API
Contributions:48 commits, 3 pushes, 2 branches in 10 months
apiusgs-apiworkflowsusgsworkflow
Dewberry/pfra-hydromet
May 2019 - Nov 2021
Tools for developing pluvial (excess rainfall) and fluvial scenarios for probabilistic flood risk analyses
Contributions:146 commits, 36 PRs, 117 pushes in 2 years 6 months
flooddevelopinghydrologyanalysesrisk
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