🪵 Unity Catalog: Building the Bronze Layer in Python

Raw data is messy.

But how you ingest it sets the tone for everything downstream.

In this week’s video, I walk you through creating the Bronze layer using Python in Databricks—specifically ingesting raw Encounter CSV data into Unity Catalog.

We’ll cover:

🔧 Setting up dynamic variables

🐍 Using Python to define ingestion logic

🤝 Collaboration tips to keep your pipelines maintainable

📁 Structuring raw layers that scale across teams and use cases

The bronze layer is the foundation—if this piece isn’t solid, your Silver and Gold layers (and all your MLOps/BI on top) will suffer.

🎥 Watch the full tutorial here:

💬 Got questions? Drop them in the comments or DM me.

📈 If your team is scaling Databricks and needs help laying down the right architecture, let’s talk.

📩 Reach out—happy to help you get it right from the start.

#CloudEngineering #DataEngineering #Databricks #DeltaLivePipeline #ETL #MedallionArchitecture #DataOps #CloudData #Automation #Azure #AWS #UnityCatalog #Python #SQL #VersionControl