Paul Bhorjee
Resident Solutions Engineer Spark & Pipeline Optimization Engineer
Portland, Oregon, United States
Summary
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Senior🎓
Top SchoolPaul Bhorjee is a Technical Lead in Data Engineering with 11 years of experience designing and operating mission-critical, cloud-native data and ML pipelines, primarily on AWS and Databricks. He blends deep hands-on skills in Spark, Delta Lake, streaming (Kafka/MSK), and serverless architectures with expertise in pipeline automation, data governance, and cost/performance optimization. Paul has repeatedly delivered measurable results—reducing Databricks costs, implementing automated Delta Sharing and Unity Catalog solutions, and architecting resilient batch and streaming systems for large enterprises. Comfortable bridging data science, ML, and application teams, he builds production-ready feature stores, RAG/LLM pipelines, and observability-driven recovery strategies. Based in Portland, he pairs an early career background in full-stack and API engineering with a methodical focus on schema, lineage, and fault-tolerant infrastructure—an uncommon mix that helps him translate research-grade ML work into reliable, scalable products.
10 years of coding experience
14 years of employment as a software developer
Bachelor of Arts - BA Political Science and Government, Bachelor of Arts - BA Political Science and Government at University of MichiganSoftware Engineer Javascript / TypeScript / Full Stack Web Development Immersive, Software Engineer Javascript / TypeScript / Full Stack Web Development Immersive at Hack ReactorMaster of Science - MS Information Technology, Master of Science - MS Information Technology at American InterContinental UniversityDiploma Advanced Applied Data Engineering Immersive, Diploma Advanced Applied Data Engineering Immersive at WeCloudDataProgramming languages (2)
Github contributions (5)
pbhorjee/underscore_redux
Feb 2016 - Dec 2024
Contributions:1 push, 1 branch in 8 years 11 months
pbhorjee/hrr10-vikings
Nov 2015 - Nov 2015
Contributions:29 pushes, 2 branches in 3 days
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