Christopher Tull
Oxnard, California, United States
Summary
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SeniorChristopher Tull is a principal data engineer and public technologist based in Oxnard, California, who helps water managers plan and make informed decisions under uncertainty by harnessing public data resources. He serves as Chief Data Officer at the California Data Collaborative and, since 2025, as Principal Data Engineer at Moulton Niguel Water District, designing scalable data infrastructure and decision-support tools to ingest, process, and analyze millions of water-use readings. His work blends data integration, system engineering, applied R&D, and analytics to improve revenue stability, price equity, and the reliability of public services. Earlier in his career he built automated data pipelines and visualization tools for statewide water data and urban energy datasets (notably with NYU CUSP), and he continues to advise water districts as an independent consultant on big data solutions for AMI data. He also volunteers with the Ventura County Climate Hub to advance a net-zero carbon economy, and holds a BS in Mathematics and CS from CSU Channel Islands and an MS in Applied Urban Science & Informatics from NYU, bringing rigorous quantitative training to public-sector data challenges.
11 years of coding experience
Stackoverflow
474reputation
186kreached
1answer
2questions
Github Skills (89)
python10
automation10
orchestration10
markdown10
water10
scheduler10
readable10
monitor10
r-package10
data-science10
apache10
gitpod10
machine-learning10
jekyll10
data-engineering9
Programming languages (8)
Github contributions (5)
christophertull/dwr-grid
May 2017 - May 2023
DWR Modeling Grids
Contributions:2 pushes, 1 branch in 6 years 1 month
modelingdwrgrids
California-Data-Collaborative/RateComparison
Jul 2016 - May 2019
Contributions:1 release, 131 commits, 45 PRs in 2 years 10 months
pythondemandrevenueequityfinance
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