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databricks_bootcamp_2026
End-to-end Data Lakehouse project built on Databricks, following the Medallion Architecture (Bronze, Silver, Gold). Covers real-world data engineering and analytics workflows using Spark, PySpark, SQL, Delta Lake, and Unity Catalog. Designed for learning, portfolio building, and job interviews.
#ai#apache-spark#data-analytics#data-engineering#data-engineering-project#data-lakehouse
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README preview
Databricks Bootcamp 2026
Welcome to the Databricks Data Lakehouse Project by Data With Baraa.
This repository contains a complete, real-world Data Lakehouse implementation built on Databricks, including datasets, notebooks, SQL examples, and exercises. Everything here is designed to help you understand how modern data teams use Databricks in practice, from data ingestion and transformation to analytics-ready data products.
⚠️ Important Note
Build this project on your own first using the Notion roadmap.
Use this repository only as a reference if you get stuck.
Before starting, watch the Databricks Bootcamp, where I explain the architecture and decisions behind this project.
- 🧭 Notion Roadmap: Open guide
- ▶️ Databricks Bootcamp: Watch on YouTube
- 🎉 Finished? Share it on LinkedIn. Let’s celebrate
🏗️ Architecture
This project follows the Medallion Architecture:
🥉 Bronze Layer
- Raw data ingestion
- Schema inference and storage as Delta tables
🥈 Silver Layer
- Data cleaning and standardization
- Type casting and validation
🥇 Gold Layer
- Dimensional Data Model (Business Transformation)
- Ready for BI and analysis
🛠️ Technologies Used
- Databricks
- Apache Spark
- PySpark
- Spark SQL
- Delta Lake
- Unity Catalog
Prerequisites
- Basic SQL, Python and some Pyspark knowledge
- No prior Databricks experience required
☕ Stay Connected
🌍 Connect With Me
