Yes. Every concept is demonstrated step-by-step with real-time scenarios, datasets, cloud resources, and complete end-to-end workflow implementation

Azure Data Engineer is a stable job role responsible for design of Data Warehouses (DWH). This ever promising job stream involves Extraction (E) of data from various sources, perform data mashup and Transformations (T) and Loading the data (L) into Warehouse and Lakehouse platforms.
✅ Cloud ETL, DWH with Big Data Analytics
✅ Azure Data Factory (ADF) for ETL
✅ Azure Synapse For DWH, Analytics
✅ Azure Stream Analytics For IoT, Insights
✅ Azure Key Vault, RBAC For Security
✅ Azure Databricks for ETL, ELT, Analytics
✅ Python ETL, PySpark with Optimizations
✅ CI/CD Pipelines, Medallion Architecture
✅ Delta LIVE Tables, Serverless Pools
✅ End to End Real-time Project
✅ 1:1 Mentorship, Resume Guidance
Module 1: SQL Concepts & Queries
- Query Tuning, CTEs, Rank
- Normal Forms (Scenario Based), Joins
- Group By with Joins, Sub Queries
- Merge, Stored Procedures
- Transactions, Lock Hints
- Views, Functions, More
Module 2: Azure Data Engineer
- ETL & ELT with ADF, Synapse, Databricks
- Incremental Loads, SCD, CDC, Upserts
- Synapse DWH Architecture & Big Data Processing
- Spark, PySpark, Delta Tables, Time Travel
- Medallion Architecture (Bronze–Silver–Gold)
- ADLS Storage, Security, Key Vault, Monitoring
- Realtime Projects + Fabric & DP-700 Exam Guidance
Module 3: Power BI
- AI, Co-Pilot & Big Data Analytics
- Advanced Dashboards with DAX
- Power Query (M Lang), Parameters
- Dynamic RLS, Data Activator
- Power BI Cloud Service
- Power BI Report Server, RDL
- Custom Visualizations, PL 300, more.. !

What is the Azure Data Engineer course and who should join this program?
This course is designed for Data Engineers, Developers, Analysts, Architects, and anyone who wants to build end-to-end data pipelines using Azure services like ADF, Databricks, Data Lake, Synapse, and Power BI. It covers complete ETL, ELT, DWH, Big Data, and Analytics workflows.
What are the prerequisites to learn Azure Data Engineering?
Basic knowledge of SQL is helpful, but not mandatory. The course includes SQL Server + T-SQL fundamentals, making it easy for beginners and career switchers.
What modules are included in the Azure Data Engineer training?
The program includes:
Module 1 – MSSQL & TSQL (3 Weeks)
Module 2 – Azure Data Engineer (ADF, Synapse, ADLS, Databricks, IoT, Functions) (7 Weeks)
Module 3 – Power BI with AI & CoPilot (4 Weeks)
Each module includes real-time projects.
What real-time projects will I work on in this course?
You will complete 4+ real-time projects including:
• ADF Pipeline Project
• Databricks Notebook ETL Project
• Power BI AI-driven Report Project
• E-Commerce, Inventory & Financial Analytics Domains
All projects are resume-ready.
Does the course include SQL Server fundamentals and T-SQL?
Yes. SQL fundamentals, joins, stored procedures, functions, triggers, indexing, transactions, CTEs, window functions, tuning, and case studies are covered in-depth.
What Azure services will I learn during the training?
Key Azure components include:
Azure SQL, ADF, Data Lake Storage, Synapse, Databricks, IoT Hub, Stream Analytics, Key Vault, Logic Apps, Azure Functions, Storage Explorer, RBAC, IAM, and more.
Is Azure Data Factory (ADF) covered with real-time ETL/ELT pipelines?
Yes. You will work with Linked Services, Integration Runtimes, Pipelines, Data Flows, SCD, SCD Type 2, Incremental Loads, CDC, PolyBase, Staging, and Optimizations.
Do we learn Azure Databricks in this training?
Yes. Databricks is covered extensively including Spark clusters, Python ETL, PySpark transformations, Delta Tables, Medallion Architecture, SQL & Python Notebooks, Widgets, Workflows, and Tuning.
Is Power BI included in the Azure Data Engineer course?
Yes. Power BI with AI, CoPilot, DAX, Data Modelling, Power Query, Cloud publishing, Row Level Security, Dashboards, and one complete real-time project are included.
Does the course include cloud security concepts?
Yes. You will learn Azure IAM, RBAC, ADLS ACLs, Access Keys, SAS Tokens, Key Vault Encryption, and secure data architecture practices.
Is the training suitable for beginners or non-IT learners?
Absolutely. The course begins with fundamentals (SQL, Cloud Basics) and gradually progresses to advanced Azure & Big Data engineering skills.
Do you teach incremental loads, SCD, and CDC?
Yes. You will learn real-time Incremental Loads, SCD Type 1 & Type 2, Upsert logic, Control Tables, Watermarking, CDC implementations for ETL & ELT.
Will I get hands-on experience with Azure Data Lake Storage?
Yes. You will learn ADLS Gen2, containers, HNS, file systems, ACLs, uploads, ETL integration, and performance tuning.
Do you cover Azure Synapse Analytics in detail?
Yes. Dedicated SQL pools, serverless pools, DWH architecture, distributions, T-SQL transformations, Spark Pools, Python ETL, and Synapse pipelines are included.
Is there guidance for Azure certification exams?
Yes. You will receive support for:
• DP-203: Azure Data Engineer Associate
• PL-300: Power BI Data Analyst (included in module 3)
Exam patterns, sample questions & mock tests are provided.
What job roles can I apply for after this training?
Azure Data Engineer, ETL Developer, ADF Developer, Databricks Developer, DWH Engineer, Big Data Engineer, Analytics Engineer, Power BI Developer (bonus).
What is the salary range for Azure Data Engineers?
• India: ₹8 LPA – ₹26 LPA
• USA: $110,000 – $165,000
• UAE/Europe: Very high demand due to cloud adoption.
Do you provide 1:1 mentorship, resume preparation, and mock interviews?
Yes. You receive personalized guidance, resume building, project explanation support, mock interviews, and career mentoring.
What are the training modes available for this Azure Data Engineer program?
LIVE Online Training, Self-Paced Video Training, and Corporate Training options are available. LIVE Demo sessions with the trainer are provided before joining.
Placement Partners


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Course includes ONE Real-time Project.
Why Choose SQL School
- 100% Real-Time and Practical
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- Weekly Mock Interviews
- 24/7 LIVE Server Access
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