Azure Data Engineer Masterclass - The Complete Guide | Udemy [Update 07/2025]
English | Size: 16.7 GB
Genre: eLearning[/center]
Master Azure data Engineer Course with Real Time Projects
What you'll learn
Master Azure Data Engineering tools end-to-end with real-time projects
Design and implement robust ETL/ELT pipelines using Azure Data Factory
Write advanced PySpark code for scalable data cleaning and transformations
Work with Azure Databricks notebooks and Delta Lake
Build complete Medallion Architecture pipelines (Bronze, Silver, Gold layers)
Explore Microsoft Fabric: Dataflows Gen2, Pipelines, Lakehouse & Notebooks
Build interactive dashboards using Power BI connected to Fabric/Synapse
Use Azure Synapse Analytics for data warehousing and complex SQL queries
eploy and manage your pipelines using Git Integration & DevOps
Become a Job-Ready Azure Data Engineer
Master real-world data engineering with this hands-on, beginner-to-advanced course designed for aspiring and working professionals.
What You Will Learn:
Azure Data Factory (ADF):
Design & orchestrate ETL/ELT pipelines
Integrate data from SQL, Blob, REST APIs & more
Build Data Flows and automate with Triggers
Azure Databricks & PySpark:
Process big data using PySpark on Azure
Implement Delta Lake & optimize Spark jobs
Real-world notebook-based projects
Azure Synapse Analytics:
Create and query data using Dedicated & Serverless SQL Pools
Use Synapse Studio for data transformation & analytics
Integrate Synapse with ADF and Databricks
SQL for Data Engineering:
Write efficient SQL queries for transformations
Use joins, window functions, and aggregations
Practice with real datasets and assignments
Python for Data Engineering:
Automate tasks and create clean, modular scripts
Use Python in ADF and Databricks notebooks
Real-World Projects + Interview Prep:
Industry-based mini projects for each topic
Azure Data Engineer interview questions and answers
Resume & career guidance included
Who Should Take This Course?
Aspiring Data Engineers & Cloud Developers
SQL Developers transitioning to cloud data platforms
Anyone preparing for Azure Data Engineer Associate
Professionals looking to gain hands-on Azure data stack skills
Tools Covered:
Azure Data Factory, Databricks, Synapse Analytics, SQL Server, Blob Storage, Delta Lake, Python, Git, Event Hubs, and more.
No prior cloud experience required! All concepts are explained from scratch.
Who this course is for:
DATA Enginner enthusiast
Azure Data Engineer enthusiast
Beginner Looking for Data Engineer role
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