What you'll learn:
- Build end-to-end Data Engineering pipelines in Databricks using PySpark and SQL
- Understand and implement the Medallion Architecture (Bronze, Silver, Gold layers) for clean and reliable data
- Perform data cleaning, transformations, and aggregations with PySpark for real-world projects
- Create Dashboards & KPIs in Databricks SQL and visualize insights
- Gain hands-on experience with realistic datasets & projects to prepare for Data Engineering roles
- Ingest and transform data using Auto Loader, Delta Live Tables (DLT),
Welcome to the Complete Databricks & PySpark Bootcamp: Zero to Hero
Do you want to become a job-ready Data Engineer and master one of the most in-demand platforms in the industry?
This course takes you from beginner to advanced level in Databricks, PySpark, and Delta Lake by building real-world data engineering projects step by step.
Whether you’re new to Databricks or already have some experience, this bootcamp will give you the hands-on skills to design, build, and optimize ETL pipelines on the cloud.
What you’ll learn in this course
Master Databricks and the Medallion Architecture (Bronze, Silver, Gold layers)
Build end-to-end ETL pipelines using PySpark and SQL
Work with Delta Lake for ACID transactions, schema evolution, and time travel
Ingest and process data using Auto Loader and Delta Live Tables (DLT)
Clean messy data with PySpark transformations and enforce data quality rules
Aggregate, transform, and load data into Gold tables for analytics & dashboards
Visualize business KPIs in Databricks SQL dashboards
Gain hands-on experience with real-world projects (Retail, Banking, IoT, HR, E-Commerce, Insurance, etc.)
Projects you’ll build
Retail Sales Analytics → Build ETL pipeline & KPIs (Revenue, AOV, Return Rate)
And many more real-world industry projects...
Who this course is for
Aspiring Data Engineers looking to start a career with Databricks & PySpark
SQL Developers / Analysts transitioning into Big Data & Cloud Data Engineering
Python Developers who want to expand into ETL pipelines and Spark
Cloud Engineers (AWS, Azure, GCP) who want to integrate Databricks into their workflows
Students and Beginners in Data Engineering who want portfolio-ready projects
Why take this course?
Learn by doing real projects — not just theory
Covers batch + streaming pipelines for modern data engineering
Includes best practices & optimizations used by top companies
Uses free Databricks Community Edition — so no paid cloud setup required
Prepares you for Data Engineer interviews & certifications
