Jimmy Feng
Senior Consultant at Deloitte, Analytics & Data Engineering
- Role
- Senior Consultant, Analytics & Data Engineering at Deloitte
- Location
- Memphis, TN, US
- LinkedIn followers
- 500 followers
About Jimmy Feng
I’m a senior analytics and data engineering leader with 7+ years of experience owning large-scale, cloud-based systems in regulated and high-impact environments. I specialize in building analytics platforms that turn complex data into decisions used by executives, policymakers, and operational teams.Currently, I lead the design and delivery of a network adequacy platform for state healthcare marketplaces, where I function as both technical lead and people manager. I set system architecture, prioritize roadmaps, mentor teams, and partner directly with clients and senior stakeholders—while remaining hands-on with development where it matters most. My work spans cloud infrastructure (AWS), geospatial analytics, and large-scale optimization problems.My background includes building production systems for healthcare, logistics, CPG, and government use cases, often in highly regulated settings where accuracy, transparency, and scalability are critical. I’m particularly experienced in translating policy and business requirements into robust technical solutions that stand up to scrutiny.I hold a Ph.D. in Geography, which gives me a strong foundation in spatial systems, networks, and optimization—allowing me to solve real-world infrastructure problems efficiently and at scale.I’m interested in senior-level roles in data engineering, analytics, or applied modeling where I can lead teams, own systems end to end, and work on high-impact problems involving cloud infrastructure, networks, and complex data.Skills: Geospatial Analytics (e.g, GIS), Python, AWS (EC2, S3, RDS), SQL, Spatial ETL, Cloud-Based Data Pipelines, Network Modeling, Transportation Geography, HealthTech, Technical Consulting, Client Engagement
Experience
Senior Consultant, Analytics & Data Engineering
Sep 2022 — Present · Memphis, TN, US
Led end-to-end development of a cloud-based geospatial analytics platform modeling healthcare access across 7B+ consumer–provider pairs, replacing legacy straight-line distance methods with drive-time and drive-distance metrics using Python, AWS (S3, RDS), and OpenStreetMap.Acted as technical lead and delivery manager, owning system architecture, development priorities, and quality while coordinating analysts, engineers, and stakeholders across multiple state healthcare clients.Diagnosed memory and performance bottlenecks in EC2-based workflows and optimized infrastructure, reducing runtime from ~4 days to ~1 day. Successfully pitched and secured infrastructure upgrades by demonstrating cost-effectiveness through performance benchmarks.Translated federal healthcare policy (e.g, CMS network adequacy regulations) into scalable, auditable analytics logic supporting multiple state-level insurance marketplaces and complex reporting requirements.Contributed directly to $6.5M+ in contract value, helping Deloitte win three new state clients and secure a 3-year extension with an existing client. The platform supported a southern state exchange serving 1.4M+ residents.Automated spatial ETL pipelines and optimized cloud workflows, saving thousands of labor hours and generating $100K+ in cost savings.Co-led development of a state health insurance exchange website, partnering with engineering and product teams to translate business requirements into dashboards, data products, and interactive reporting tools.Regularly advise senior client leaders on data architecture, geospatial strategy, and system scalability, delivering insights that inform product and policy decisions.Mentor junior consultants and analysts; host weekly Python and SQL sessions to upskill teams and promote engineering best practices across the practice.
Education
State University of New York College at Geneseo
Bachelor of Arts (B.A.)
Hunter College High School
High School Diploma
University of Tennessee, Knoxville
Doctor of Philosophy - PhD
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