Overview
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
DATA Enginner enthusiast, Azure Data Engineer enthusiast, Beginner Looking for Data Engineer role
Practice is must
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.
manish tiwari
Hi I am manish and I am a full time data engineer and having 5+ years of IT experiences delivering some of the large data projects for industries ranging from technology, security, finance, retail . The projects I delivered were both on cloud platforms such as Azure and AWS as well as On-premises.
I have a passion for teaching and I take great pride in the success of my students. I have a different style of teaching than that of a standard I.T. trainer. My courses are based on real world projects. My courses will, not only explain the concepts, but also make them stick by using real world projects and examples. Throughout the course I give guidance on good practices and guide you towards building a production ready application. I strongly believe that once you have completed my courses you will have sufficient experience and knowledge required to start a real time project on that technology. Of course you may require further learning to progress in your career, but I will give you the required foundation and put you in the right direction to gain additional knowledge.
I value your time as much as I do mine. So, I keep my courses to the point and my courses have been taught in simple English without any jargons.