Pipelines failing overnight? Reports running on yesterdays data?
I build production Azure Databricks pipelines that run on schedule, recover from failures on their own, and keep a full audit trail.
Im a Databricks Certified Professional and Azure certified Data Engineer with 7+ years of experience in insurance, healthcare and financial services.
What Ill build for you:
- ETL/ELT pipelines in Azure Databricks, ADF and PySpark
- Medallion architecture (Bronze, Silver, Gold) on Delta Lake
- Unity Catalog governance and SCD Type 2 history tracking
- Failure alerts, audit logging and data reconciliation
- Scheduling, CI/CD and handover documentation
Recent Azure Databricks projects:
- Slide Insurance: moved from daily to hourly data across 900+ tables, with automatic failure recovery and alerts before bad data reached Power BI
- Verto Health: built a metadata-driven pipeline that adds new hospital data sources without code changes, with full audit history in Unity Catalog
How it works:
- Share your source, destination and number of tables
- I review your data and confirm the scope
- I build, test and hand over a working pipeline
Bigger project or migration? Message me for a custom quote.