DATA ENGINEERING · PYTHON · SQL

Reliable data, thoughtfully engineered.

Four small, end-to-end demonstrations of integration, financial reconciliation, healthcare interoperability, and DataOps.

Explore the projects

SELECTED WORK

Project portfolio

Each project includes runnable code, synthetic sample data, tests, setup instructions, and architecture diagrams.

01ETL · QUALITY

Enterprise Data Integration

Validate and join customer and order feeds, preserve data quality, and quarantine rejected rows with clear reasons.

PythonCSVData quality
02ANALYTICS · SQL

Financial & Insurance Analytics

Reconcile policy premiums and commissions using exact-cent arithmetic, SQL aggregation, and auditable variance reports.

PythonSQLiteSQL
03INTEROPERABILITY

Healthcare Data Interoperability

Normalize a focused set of HL7 v2 and FHIR R4 observations into a consistent, validated output.

PythonHL7 v2FHIR R4
04DATAOPS · LAKEHOUSE

Cloud Modernization & DataOps

Build bronze, silver, and gold layers with validation, quarantine, SQL summaries, and a verifiable run manifest.

PythonSQLite SQLMedallion

Responsible demos. All records are synthetic. These independently authored examples illustrate common patterns; they are not production systems or representations of former employers' code. No real personal, financial, or patient data is included.