Complete Databricks & PySpark Bootcamp: Zero to Hero | Udemy
English | Size: 8.33 GB
Genre: eLearning[/center]

Master Databricks and PySpark for Data Engineering, SQL, Delta Lake, and Real-World ETL Projects

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

Who this course is for:
Aspiring Data Engineers who want to start a career using Databricks, PySpark, and Delta Lake
Anyone preparing for Data Engineering roles or certifications involving Databricks,

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