Jeffery Fullmore
@jefferyfullmore
Senior Data Engineer specializing in scalable cloud data platforms and ML-powered analytics.
What I'm looking for
I am a Senior Data Engineer with over 10 years building scalable, cost-optimized data platforms across AWS, Azure, and GCP for companies including Amazon and Databricks.
I have designed HIPAA- and PCI-compliant systems, led cross-functional data product initiatives, and productionized ML and real-time analytics pipelines that reduced costs and improved model accuracy and fraud prevention.
My work emphasizes reliable data architecture—Delta Lake/medallion patterns, serverless ETL, and performance tuning—to empower self-service analytics and drive measurable business impact.
Experience
Work history, roles, and key accomplishments
Architected HIPAA-compliant data platforms and AI-powered clinical analytics on AWS, improving predictive model accuracy by 20% and enabling self-service analytics for 500+ researchers while reducing ETL costs by 35%.
Designed real-time fraud detection and low-latency payment pipelines processing millions of transactions daily, preventing $50M+ in annual losses and reducing fraud response time to seconds.
Built large-scale clickstream and supply-chain analytics pipelines on AWS ingesting billions of events daily, increasing personalization conversion by 15% and reducing ETL times by 40%.
Developed end-to-end Apache Spark and Delta Lake pipelines and executed petabyte-scale migrations from on-prem Hadoop to Delta Lake, reducing data latency by 70% and compute costs by 30%.
Education
Degrees, certifications, and relevant coursework
University of Georgia
Bachelor of Science, Computer Science
2010 - 2014
Completed a Bachelor of Science in Computer Science with coursework and projects focused on software engineering and data systems.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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