ElizabethĀ Dobbins
Owner at Greentree Data Solutions
Fairbanks, Alaska, United States
Summary
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Seniorš
Top SchoolElizabeth Dobbins is an oceanographic data scientist and owner with over 8 years of professional experience turning messy, heterogeneous sensor feeds into standards-compliant, reusable datasets and tooling. She blends deep domain expertise in physical oceanography with strong Python engineeringābuilding metadata-driven pipelines, NetCDF exports, and automated quality checks that support open science and operational products. As an Information Systems Manager and team lead she applied open data technologies (Quarto, Frictionless, DCAT/ISO 19115) to unblock reporting and revive statewide data gateways, and she wrote a package to auto-generate Open Energy Metadata JSON from YAML. Comfortable in HPC, Dockerized workflows, and Agile teams, she pairs practical devops (Ansible, Grafana, CI/testing with pytest/ruff) with careful documentation and version control. Her background ranges from numerical modeling of ecosystems to hands-on field instrument processing, giving her an uncommon ability to translate scientific requirements into production data systems. Based in Fairbanks, Alaska, she is available for freelance and contract work that bridges ocean science, metadata, and reproducible data engineering.
8 years of coding experience
26 years of employment as a software developer
Masters Oceanography, Masters Oceanography at University of WashingtonGIS, GIS at Portland State UniversityB.A. Physics, B.A. Physics at Eastern Washington University
Github Skills (9)
data-visualizations10
jupyter-notebook10
data-visualization10
data-visualisation10
develop10
bokeh10
documentation10
python9
datashader9
Programming languages (11)
Github contributions (5)
bokeh/bokeh-notebooks
Jul 2017 - Aug 2017
Interactive Web Plotting with Bokeh in IPython notebook
Role in this project:
Technical Writer
Technical WriterContributions:8 commits, 2 PRs, 9 comments in 19 days
Contributions summary:Elizabeth primarily focused on improving the tutorial notebooks within the repository. Their commits involved correcting typos, updating examples, and incorporating changes related to new features in the Datashader module. They also addressed minor issues in existing tutorials and updated references to user guides and developer documentation, suggesting a focus on maintaining the clarity and accuracy of the educational materials.
ipythonpythonnotebookjupyter-notebookipywidgets
nga-lter/nga-reu-2021
Jun 2021 - Aug 2021
Contributions:32 commits, 31 pushes in 1 month
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