Healthcare Analytics. Supply Chain Intelligence. Built on Data Engineering.
Data Analyst & Analytics Engineer
I build the data layer that turns operational complexity into decisions people can act on — across healthcare analytics, supply chain intelligence, and data engineering.
My work spans two domains that rarely travel together: healthcare data engineering and supply chain analytics. I've processed 15.4M records of federal CMS Open Payments healthcare data through production-grade ETL pipelines, analyzed global health commodity supply chains tracking $1.46B in ARV and HIV diagnostic shipments, and built ML-driven inventory models that identified $10.43M in trapped capital.
With 10+ years of operational experience across American Airlines, Sonder, and Marquez MMA, I understand what the data means on the ground — not just on the dashboard. That domain depth now drives analytics work across healthcare payments compliance, global health supply chains, and modern data engineering pipelines.
What I Do:
- Healthcare Data Engineering: Processing CMS Open Payments federal healthcare data through production-grade Star Schema ETL pipelines.
- Supply Chain Analytics: Tracking vendor performance, freight costs, and inventory optimization across global health commodity and logistics networks.
- Analytics Engineering: Building dbt models, BigQuery pipelines, and Airflow orchestration that make self-service analytics reliable at scale.
- AI-Assisted Workflows: Using ChatGPT, Claude, and GitHub Copilot daily for SQL generation, data cleaning, and documentation.
Relocated to the Tampa Bay Area. Open to remote, hybrid, and local roles in healthcare analytics, analytics engineering, supply chain data analytics, and operations-focused tech.
Healthcare & Supply Chain Analytics
Most analysts encounter healthcare data as a domain they learn on the job. I built a production ETL pipeline on 15.4M records of federal CMS Open Payments healthcare data before applying for my first healthcare analytics role.
My decade at American Airlines and Sonder gave me something harder to teach than SQL: the ability to look at operational data and understand what it means physically. When I build a pipeline or a dashboard, I know what the numbers represent on the ground.
That operational foundation now drives work across two connected domains: healthcare payments compliance analytics and global health supply chain optimization — both built on SQL, Python, dbt, and BigQuery.
Healthcare Data Engineering
CMS Open Payments pipeline processing 15.4M federal healthcare records through production-grade Star Schema architecture.
Supply Chain Domain Depth
$1.46B global health commodity network analysis spanning ARV and HIV diagnostic supply chains.
ML & Predictive Modeling
XGBoost and Gradient Boosting pipelines for inventory optimization, churn prediction, and anomaly detection at scale.
Career Timeline
Regional Operations & Analytics
Marquez MMA (Multi-Unit Franchise)
- Vendor Performance & Procurement: Orchestrated performance management and cost negotiations across 6 regional locations (PA, NJ, DE, NY, MI); evaluated manufacturer and sponsor SLAs to optimize procurement and reduce overhead.
- Supply Chain & Inventory Control: Applied Lean methodologies to manage end-to-end inventory for retail goods and concessions, maintaining optimal stock levels to drive monthly profitability across the franchise network.
- Logistics & Event Operations: Directed comprehensive logistics and critical path routing for multi-location events, managing complex staff allocation and accommodation requirements.
- Stakeholder Analytics: Built automated KPI reporting pipelines, translating complex data into actionable dashboards to drive executive-level strategic pricing decisions.
Operations Data Analyst
Sonder Inc.
- Systems Integration: Engineered custom Salesforce and Asana integrations to act as a centralized ERP, providing real-time visibility into cross-functional capacity planning.
- Demand Modeling: Developed SQL-driven demand forecasting models to optimize property supply levels and inventory consumption, directly reducing service disruptions.
- Root Cause Analysis: Utilized data to isolate bottlenecks in maintenance workflows, facilitating the return of units to revenue-generating status.
Financial Data Analyst
Cambria Hotel
- ETL Automation: Built automated Excel Power Query workflows to transform raw transaction logs into standardized reporting, eliminating manual calculation errors.
- Variance Analysis: Conducted nightly variance audits across multiple cost centers to ensure financial integrity and identify operational overhead reduction opportunities.
Operations Team Lead (Logistics & Compliance)
American Airlines
"Where I learned that a 5-minute delay costs thousands."
- SLA & Regulatory Compliance: Managed time-critical routing and FAA regulatory compliance for cross-connecting flights in a high-volatility environment.
- Operational Root Cause Analysis: Performed RCA on missing inventory and delays to protect on-time service level agreements (SLAs).
My Analytical Toolbox
Data Engineering
Supply Chain Intel
Visualization
Regulated Environments
AI Workflow Tools
Featured Healthcare & Analytics Cases
Healthcare data engineering, supply chain intelligence, and ML-driven analytics.
Healthcare Payments Compliance & Spend Analytics
Production-grade Star Schema data warehouse built on 15.4M records of 2024 CMS Open Payments federal healthcare data. Flagged $11.7M in provider payment compliance exposure and a $170M+ anomaly event through Z-Score statistical analysis in SQL.
Deep Dive
Global Health Supply Chain Optimization
Analytics platform tracking $1.46B in global health commodity shipments — ARV antiretroviral drugs and HIV diagnostic tests. Identified cost concentration driving 99% of logistics spend across international health programs.
Deep Dive
Inventory Capital Optimizer
ML-driven (XGBoost/LightGBM) demand forecasting and prescriptive liquidation engine. Protected $2.44B in revenue leakage while releasing $10.43M in trapped capital through intelligent, volatility-weighted safety stock buffering.
Deep DiveLet's build something that matters.
Open to remote, hybrid, and Tampa Bay area roles in healthcare analytics, analytics engineering, and supply chain data analytics.