All etl projects

Healthcare data pipelines can't afford to fail. When patient care and regulatory compliance depend on data availability, resilience isn't optional - it's fundamental. We share practical patterns and hard-won lessons from building a fault-tolerant ETL system that processes critical healthcare data from multiple sources while maintaining 99.9% uptime.

Testing healthcare ETL pipelines presents a fundamental dilemma: how do you ensure your data transformations work correctly without exposing sensitive patient information? With GDPR fines reaching €20 million and patient trust at stake, we developed a synthetic data generation approach that enables comprehensive testing while maintaining complete isolation from real patient data.

Healthcare data processing presents unique challenges - multiple data sources, stringent compliance requirements, and the critical nature of accuracy. We recently tackled these challenges by building a modern ETL pipeline using Dagster's asset-centric approach, moving beyond traditional task-based orchestration to create a more maintainable and observable data platform.