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
Contributions:1 release, 131 commits, 45 PRs in 2 years 10 months
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