Registered Nurse turned healthcare data and compliance analyst. I design and build audit-ready data pipelines, FHIR-aware integrations, and analytics that help payers and health systems see what’s really happening in their EHR and claims data.

I’m Daniel Allen, an RN with 20+ years in acute care and a second career in healthcare data, informatics, and regulatory compliance. I’ve worked across IPAs, medical groups, payers, and health systems, leading:

• EHR & RCM data conversions (Epic, Cerner/Oracle Health, Meditech, Essette CM)
• Claims, eligibility, and benefits integrations for Medicare, Medicaid, and commercial plans
• SQL/Python ETL pipelines and dashboards aligned with HIPAA, HEDIS, NCQA, and CMS standards

My sweet spot is turning messy clinical and claims data into clean, validated, decision-ready datasets that can survive an audit.

• Data Conversion & Interoperability – ETL/ELT in SQL & Python, JSON/XML, HL7 v2.x, FHIR R4 resources (Patient, Coverage, Claim, Encounter, Observation), and X12 (270/271, 835/837, 834, 276/277).
• EHR & RCM Integrations – Epic (ClinDoc, Tapestry), Cerner Millennium/Oracle Health, Meditech, Essette CM; mapping legacy data into standardized schemas for analytics and downstream EHR use.
• Analytics & Reporting – Building audit-ready Snowflake / SQL tables, Tableau & Power BI dashboards for utilization, HEDIS, Stars, and quality reporting.
• Compliance & Audit Readiness – Designing conversions and reports that align with HIPAA, HEDIS, NCQA, CMS Stars, DMHC, Delegation Oversight, and payer audit requirements.
• Project & Change Management – PMP-driven execution: scope control, risk management, multi-cycle test migrations, reconciliation, and stakeholder training.

• Languages & Data: SQL, Python (Pandas, PySpark), R, JSON, XML
• Platforms: Snowflake, PostgreSQL, FHIR servers, API ingestion
• Analytics & BI: Tableau, Power BI
• Healthcare Standards: HL7 v2.x, FHIR R4, X12 (270/271, 276/277, 834, 835/837), ICD-9/10, CPT, HCPCS, CDT
• Methods: ETL/ELT, data profiling, schema normalization, multi-cycle validation, reconciliation audits, Lean/Six Sigma, Agile/Waterfall PM

These are portfolio-style projects that mirror the work I’ve done on real implementations (with sensitive client data removed or simulated).

Goal: Turn raw billing and claims exports into an audit-ready analytics stack.

• Ingests synthetic billing/claims data into a warehouse
• Uses Python/SQL pipelines to calculate revenue, denials, and variance metrics
• Outputs dashboards for finance and compliance monitoring

Goal: Demonstrate HL7/FHIR-aware ingestion and quality analytics.

• HL7/FHIR-style ingestion into a curated analytics model
• Validation concepts to keep data trustworthy
• Dashboards to explore utilization, gaps in care, and quality performance

Goal: Tackle the “9 MRNs per person” problem.

• GPU-aware patient identity resolution logic
• Matching and survivorship rules for linking patients across multiple EHR and legacy systems
• Epic-style identity extract concepts for downstream integration

Goal: Turn claims feeds into decision-ready analytics for utilization and cost.

• ETL from 837/835-like inputs into fact/dimension tables
• Measures cost, utilization, and basic quality indicators
• Designed to support HEDIS, Stars, and denial prevention reporting

Goal: Show population-health modeling from EHR/claims data.

• Builds a 30-day readmission risk model on synthetic data
• Includes data cleaning, feature engineering, and model evaluation
• Demonstrates how predictive analytics can feed care-management workflows

Goal: Document a cloud-native, audit-friendly infrastructure pattern.

• Infrastructure-as-code and security controls for analytics workloads
• Focused on logging, traceability, and compliance posture

Lead Analyst / Developer / Compliance Auditor – QMTRY, LLC
Lead end-to-end healthcare data conversion projects (claims, eligibility, benefits) across Epic Tapestry, Cerner, and Meditech; design SQL/Python ETL pipelines; build Snowflake models and QA tools for HEDIS/Stars and denial prevention.

Clinical Quality Auditor / Project Manager Associate – Healthcare Partners
Implemented Compliance 360 enterprise-wide, led system data migration and validation, ran risk-based audits for DMHC/CMS, and built dashboards and reports for compliance leadership.

Clinical EHR & Data Conversion Roles – MedPOINT, Essia Health, JMS Telecommunications
Supported EHR implementation and data conversion for Essette CM, EpicCare Inpatient ClinDoc, and Oracle Health/Cerner Millennium; mapped legacy EMR/UM/CM data into standardized models and trained clinicians on new workflows.

RN – ER/ICU/Surgical Trauma – LAC+USC Medical Center
A decade in high-acuity inpatient care that keeps my analytics grounded in real-world patient care.

Actively open to roles such as:

• Healthcare Data Analyst / Senior Healthcare Data Analyst
• Healthcare Analytics Engineer / Data Engineer (Healthcare)
• Compliance / Quality Data Analyst

Hybrid or remote; U.S.-based.

• LinkedIn: https://www.linkedin.com/in/daniel-allen-mba
• GitHub: https://github.com/daniel-allen-mba
• Email: dallen91801@gmail.com

“Data has no value until it drives decisions. I build the bridge from raw data to action.”