• views: 191
• date: 23 October 2025
• posted by: voska89

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 the Complete Databricks & PySpark Bootcamp: Zero to HeroDo 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 courseMaster Databricks and the Medallion Architecture (Bronze, Silver, Gold layers)Build end-to-end ETL pipelines using PySpark and SQLWork with Delta Lake for ACID transactions, schema evolution, and time travelIngest and process data using Auto Loader and Delta Live Tables (DLT)Clean messy data with PySpark transformations and enforce data quality rulesAggregate, transform, and load data into Gold tables for analytics & dashboardsVisualize business KPIs in Databricks SQL dashboardsGain hands-on experience with real-world projects (Retail, Banking, IoT, HR, E-Commerce, Insurance, etc.) Projects you'll buildRetail Sales Analytics → Build ETL pipeline & KPIs (Revenue, AOV, Return Rate)And many more real-world industry projects...Who this course is forAspiring Data Engineers looking to start a career with Databricks & PySparkSQL Developers / Analysts transitioning into Big Data & Cloud Data EngineeringPython Developers who want to expand into ETL pipelines and SparkCloud Engineers (AWS, Azure, GCP) who want to integrate Databricks into their workflowsStudents and Beginners in Data Engineering who want portfolio-ready projectsWhy take this course?Learn by doing real projects — not just theoryCovers batch + streaming pipelines for modern data engineeringIncludes best practices & optimizations used by top companiesUses free Databricks Community Edition — so no paid cloud setup requiredPrepares 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,
Homepage
https://www.udemy.com/course/complete-databricks-pyspark-bootcamp-zero-to-hero/




   
   
   

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