Complete Databricks & PySpark Bootcamp: Zero to Hero

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),

Requirements
- No prior Databricks experience required — we start from the basics
- A basic understanding of SQL will be helpful (SELECT, JOIN, GROUP BY)
- Enthusiasm to learn Data Engineering

Description
Welcome to theComplete Databricks & PySpark Bootcamp: Zero to Hero

Do you want to become ajob-ready Data Engineerand master one of the most in-demand platforms in the industry?This course takes you frombeginner to advanced levelinDatabricks, PySpark, and Delta Lakeby buildingreal-world data engineering projectsstep by step.

Whether you’re new to Databricks or already have some experience, this bootcamp will give you thehands-on skills to design, build, and optimize ETL pipelineson the cloud.

What you’ll learn in this course

MasterDatabricksand theMedallion Architecture (Bronze, Silver, Gold layers)

Buildend-to-end ETL pipelinesusingPySpark and SQL

Work withDelta Lakefor ACID transactions, schema evolution, and time travel

Ingest and process data usingAuto Loader and Delta Live Tables (DLT)

Clean messy data withPySpark transformationsand enforcedata quality rules

Aggregate, transform, and load data intoGold tables for analytics & dashboards

Visualize business KPIs inDatabricks SQL dashboards

Gain hands-on experience withreal-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-worldindustry projects…

Who this course is for

AspiringData Engineerslooking to start a career with Databricks & PySpark

SQL Developers / Analyststransitioning into Big Data & Cloud Data Engineering

Python Developerswho want to expand into ETL pipelines and Spark

Cloud Engineers(AWS, Azure, GCP) who want to integrate Databricks into their workflows

Students and Beginnersin Data Engineering who want portfolio-ready projects

Why take this course?

Learn bydoing real projects— not just theory

Coversbatch + streaming pipelinesfor modern data engineering

Includesbest practices & optimizationsused by top companies

Usesfree Databricks Community Edition— so no paid cloud setup required

Prepares you forData 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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