Christopher Tull is a Principal Data Engineer and public technologist with 11 years of experience helping water agencies turn massive metered datasets into actionable policy and operations insight. He leads data infrastructure and decision-support work for the California Data Collaborative and Moulton Niguel Water District, designing automated pipelines and analytics that process meter-level consumption from millions of Californians. Christopher combines applied R&D, creative data integration, and project leadership to improve revenue stability, equity, and drought resilience for utilities while advising districts on AMI-scale architectures. Based in Oxnard, he also consults independently and volunteers on climate mitigation, bringing a pragmatic focus on deployable solutions that bridge municipal constraints and modern data systems. An early maker of public-facing urban data tools, he pairs academic training in applied urban science and math with hands-on engineering across sensors, ML models, and web visualizations.
11 years of coding experience
10 years of employment as a software developer
Mathematics and Computer Science, Mathematics and Computer Science at Eberhard-Karls-Universität Tübingen
Master of Science (M.S.), Applied Urban Science and Informatics, Master of Science (M.S.), Applied Urban Science and Informatics at NYU Center for Urban Science + Progress
Bachelor of Science (BS), Mathematics and Computer Science, Bachelor of Science (BS), Mathematics and Computer Science at California State University Channel Islands
Easily compare the revenue, equity, and demand implications of different water rate structures.
Contributions:1 release, 131 commits, 45 PRs in 2 years 10 months
pythondemandrevenueequityfinance
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