Reginald White

Senior Data Engineer with 10+ years of experience building production-grade ELT pipelines and cloud data platforms across healthcare claims and supply chain environments. Deep expertise in MSSP/ACO claims data, population health analytics, and value-based care programs. Proven track record transforming complex multi-source claims, eligibility, and clinical data into governed datasets that drive care gap reduction, risk stratification, and executive decision-making.

Strong background in SQL, Python, Snowflake, Azure, and Power BI.

Data Engineer / Senior Systems Data Forensics at Lightbeam Health (2016-05 – 2026-02)

SQL and Python data forensics across clinical datasets of 10M+ patient records, diagnosing pipeline failures, duplicate records, and integrity issues. Traced data lineage end-to-end, ingested and reconciled MSSP/CMS and commercial claims data, engineered patient attribution tables, and built Power BI dashboards.

• SQL and Python data forensics across clinical datasets of 10M+ patient records, diagnosing pipeline failures, duplicate records, and integrity issues before propagation to downstream environments
• Traced data lineage end-to-end across HL7 feeds, ETL processes, and clinical pipelines to identify root cause of reporting discrepancies and establish data governance standards
• Ingested and reconciled MSSP/CMS and commercial claims, eligibility, and CCLF data across multiple payer sources in Snowflake, resolving hundreds of complex data mapping conflicts
• Engineered patient attribution table tracking member movement by NPI across ETL runs — achieving 98% accuracy and adopted as shared team infrastructure
• Built and maintained Power BI dashboards and DAX-driven measures surfacing value-based care KPIs including care gap trends, attribution rates, and HEDIS benchmarks
• Guided client and facility data teams on platform schemas and PaaS data architecture, enabling self-service analytics
• Built LLM-powered care gap explanation layer on medallion architecture using AI
• Built proactive population health monitoring framework surfacing why members were not meeting HEDIS numerators
• Built Python-based ETL pipelines to ingest and transform multi-source clinical data
• Engineered reconciliation frameworks using SQL and Excel for root-cause analysis
• Participated in migration of multiple client databases from on-premises SQL Server to Snowflake

Senior Data Engineer / EDI & Implementations Analyst at Teladoc Health (2013-01 – 2016-05)

Engineered and validated HIPAA-compliant EDI pipelines across payer contracts. Owned end-to-end monitoring of multiple ETL scripts, BI automation workflows, and API jobs. Maintained technical metadata across EDI pipelines.

• Engineered and validated HIPAA-compliant EDI pipelines (834/837) across payer contracts, implementing automated data quality controls and validation rules
• Owned end-to-end monitoring of multiple ETL scripts, BI automation workflows, and API jobs; transforming raw healthcare data into standardized formats
• Maintained technical metadata across EDI pipelines including source definitions, field mappings, and transformation logic

Mortgage Analytics & Reporting Analyst at Wells Fargo (2008-07 – 2013-02)

Built SQL-based statistical and financial models to identify cost reduction opportunities. Converted raw data warehouse content into structured analytical datasets aligned to business requirements.

• Built SQL-based statistical and financial models to identify cost reduction opportunities across 3 vendor relationships, supporting executive forecasting and compliance reporting
• Converted raw data warehouse content into structured analytical datasets aligned to business requirements, enabling trend analysis and operational efficiency measurement

Logistics & Supply Chain Data Analyst at Lennox International (2005-11 – 2008-07)

Led cross-functional business analysis in Agile/SCRUM environment for Manhattan TMS implementation. Leveraged energy network data for predictive cost modeling. Optimized routing and carrier analysis across hundreds of vendors.

• Led cross-functional business analysis in Agile/SCRUM environment to drive Manhattan TMS implementation, translating business requirements into technical specs
• Leveraged U.S. Department of Energy fuel network data to build predictive cost models, forecasting fuel price trends
• Ran comparative carrier analysis using SQL, rate matrices, and demand forecasting across hundreds of vendors, cutting order-to-delivery time by 3%
• Developed supply chain cost forecasting models in SQL, SAP, and Excel using external market data and seasonal trend analysis

Project Manager, Logistics & Supply Chain at W.T.C. Logistics (2002-07 – 2005-10)

Directed supply chain operations for 15+ person team, managing vendor sourcing and competitive bidding. Built fuel cost projection models and route forecasting analyses. Achieved 12% cost savings through process optimization.

• Directed supply chain operations for a 15+ person team, managing vendor sourcing, competitive bidding, and performance standards across national interstate commerce
• Achieved 12% cost savings through process optimization and reduced delivery lead times by 10%
• Built fuel cost projection models and route forecasting analyses from historical consumption data and market pricing
• Built vendor performance measurement scorecards and ad hoc analyses to evaluate carrier efficiency and service level adherence

Master of Business Administration – Aspen University

Bachelor of Business Administration – Angelo State University