Connor Dibble
Lead Data Engineer
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolConnor Dibble is a Lead Data Engineer with 11 years of experience building cloud-native data platforms and models at the intersection of technology and environmental sustainability. He leads a multidisciplinary team at Scoot Science, combining Kubernetes, Airflow, Spark, and serverless tools to deliver scalable ETL, forecasting, and analytics products for marine aquaculture. A former NSF-funded PhD researcher in oceanography, Connor applies deep domain expertise in larval transport and nearshore processes to inform data-driven conservation solutions. He balances hands-on infrastructure work—CI/CD, observability, and front-end integration—with people leadership that empowers teams to make evidence-based decisions. Based in the San Francisco Bay Area, he brings a rare blend of academic rigor and production-grade engineering focused on measurable environmental impact.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Environmental Science, Bachelor of Science - BS, Environmental Science at University of California, BerkeleyMaster of Science - MS, Ecology, Master of Science - MS, Ecology at University of California, Davis
Stackoverflow
557reputation
74kreached
17answers
3questions
Github Skills (105)
python10
automation10
orchestration10
kubernetes-cluster10
scheduler10
pulumi10
deploying10
monitor10
jupyter10
data-science10
apache10
jupyter-notebook10
noaa-data10
python-lib10
jupyterhub10
Programming languages (8)
Github contributions (5)
cdibble/Smoke-Stack
Jan 2020 - Feb 2020
Contributions:69 commits, 70 pushes, 2 branches in 1 month
cdibble/servatron
Aug 2022 - Jun 2023
Playing around with self-hosting
Contributions:10 PRs, 96 pushes, 16 branches in 10 months
hostingself-hostingplaying
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