Project 02Data Quality / Observability

Sentinel

Healthcare Data Observability

The pipeline is green. But is the data healthy?

Sentinel explores how data pipelines can run successfully while silently delivering unreliable data, using synthetic healthcare records to investigate data quality and observability.

My role: Technical Lead & Data Engineer
Context: Data engineering observability project built on synthetic healthcare data.

Technology areas: Python · Synthea · FHIR · Cloud storage · PostgreSQL · Streaming · Data quality

Select a stage to explore

StreamStage 1 of 4

Generate synthetic healthcare records using Synthea and FHIR, then ingest them into a controlled data pipeline.

Beyond the Pipeline: Leading the Team

I lead Sentinel's development while contributing directly to its engineering.

Engineering

Data ingestion, cloud storage, pipeline implementation, data quality, and technical problem-solving.

Leadership
Adaptability
Problem solving
Communication
Collaboration
Initiative

Leadership

Project planning, team coordination, task management, communication, and technical decision-making.

Sentinel