Brendan Bailey
Data Engineer
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolBrendan Bailey is an experienced data engineer with a decade of hands-on work applying Python, SQL, and Tableau to make government and civic services more effective. He’s delivered data products across contexts—from predictive workforce models for LAPD recruitment and randomized trials to improve hiring pipelines, to building membership reporting, ETL automation, and a Redshift-based warehouse for the AFL‑CIO. Brendan blends public-sector impact with private-sector scale, currently contributing to data engineering at Meta after leading analytics and innovation efforts for the City of Los Angeles. He holds advanced training in analytics and data science and brings a practical habit of turning policy questions into measurable, production-ready solutions. Notably, his background spans campaign field operations to enterprise data platforms, giving him a rare combination of domain empathy and technical execution.
11 years of coding experience
6 years of employment as a software developer
Data Science Immersive, Data Science Immersive at General AssemblyMaster's degree Analytics, Master's degree Analytics at Georgia Institute of TechnologyUniversity of California, San Diego
Github Skills (12)
keras9
object-detection8
tensorflow7
mask-rcnn6
instance-segmentation6
data-science4
apache-airflow3
airflow3
jupyterhub3
python2
data-governance1
dagster1
Programming languages (3)
Github contributions (5)
brendanbailey/Medium
Apr 2017 - Jul 2017
Contributions:4 commits, 3 pushes, 1 branch in 2 months
brendanbailey/brendanbailey.github.io
Mar 2016 - Apr 2017
Contributions:19 pushes, 1 branch in 1 year 1 month
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