ETL Testing and Automation with Azure: From SQL Basics to Cloud Pipelines

ETL Testing and Automation with Azure: From SQL Basics to Cloud Pipelines – Live Training

ETL with Azure is a powerful approach to modern data integration, enabling organizations to seamlessly extract data from various sources, transform it into meaningful insights, and load it into cloud-based storage systems for analytics and reporting. At Isha Training Solutions, we offer hands-on training that focuses on building scalable and efficient ETL pipelines using Microsoft Azure. With key tools like Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure Databricks, learners will gain real-world experience in handling data across different stages of the ETL process. This course is ideal for data analysts, engineers, BI professionals, and anyone interested in working with cloud data solutions. Through practical sessions, participants will learn how to automate data workflows, perform data transformations, and integrate with tools like Power BI for visualization. By the end of the training, learners will be equipped to design and deploy robust ETL pipelines in a real-time, cloud environment using Azure’s best-in-class services.

About The Instructor:

Kumaran is a seasoned data professional with over 13 years of expertise in ETL testing, cloud data integration, and Azure-based data engineering. Across his career, he has designed, implemented, and validated complex data pipelines and cloud migration strategies using Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Power BI. With a strong command of SQL-driven ETL transformations, automated validation frameworks, and real-time data monitoring, Kumaran brings a blend of technical depth and practical insight into every training session. His teaching style is highly hands-on, centered around real-world examples and scenario-based exercises that empower learners to build project-ready skills in cloud data environments. Kumaran is recognized for his ability to break down complex concepts into clear, actionable guidance. Over the years, he has mentored hundreds of professionals making the transition into cloud data engineering, equipping them with the knowledge and confidence to excel in Azure analytics roles.

 

Live Sessions Price:

For LIVE sessions – the offer price after discount is 200 USD 159 USD 89 USD Or 13000 INR 9900 INR 6900 Rupees.

Enroll For Free Demo

OR

WhatsApp

 

Free Demo Session:

22nd July @ 9 PM – 10 PM (IST) (Indian Timings)/

22nd July @ 11:30 AM – 12:30 PM (EST) (U.S Timings)/

22nd July @ 4:30 PM – 5:30 PM (BST) (U.K Timings)

 

Class Schedule:

For Participants in India: Monday to Friday 9 PM – 10 PM (IST)

For Participants in US: Monday to Friday 11:30 AM – 12:30 PM (EST)

For Participants in UK: Monday to Friday 4:30 PM – 5:30 PM (BST)

 

What students have to say about the Trainer :

👩”Kumaran sir explains every concept in such a simple and clear manner. His real-time examples helped me understand how ETL processes work in actual projects.” — Anjali R 👨”One of the best trainers I’ve learned from. The way Kumaran covers Azure Data Factory and real-time use cases made the sessions very practical and job-oriented.” — Rahul M 👩”The hands-on tasks and assignments given by Kumaran helped me gain confidence to attend interviews. He’s patient, knowledgeable, and truly committed to his students’ success.” — Sneha P 👨“Kumaran’s training is packed with practical insights. I was able to build and deploy my first Azure pipeline within a week of starting the course!” — Vivek K 👩“Kumaran’s teaching style is very structured. He starts from the basics and gradually builds up to complex concepts with ease. His sessions are perfect for both beginners and experienced professionals.” — Priya S 👨“Thanks to Kumaran’s training, I cleared my interview for an Azure Data Engineer role. The real-time projects and clear explanations made all the difference!” — Manoj T

 

Salient Features:

• 35 Hours of Live Training along with recorded videos
• Lifetime access to the recorded videos
• Course Completion Certificate

 

Who can enroll in this course?

• Freshers or recent graduates from technical backgrounds (B.Tech, MCA, B.Sc, etc.)

• Manual testers and ETL testers looking to transition into cloud technologies

• SQL developers, BI professionals, and data analysts exploring Azure data services

• Working professionals aiming to move into Data Engineering or Cloud ETL roles

• Anyone interested in learning Azure Data Factory, Data Lake, Synapse, and Power BI

 

What will I Learn by end of this course?

• Understand the fundamentals of ETL and Data Warehousing

• Gain knowledge of different ETL tools, concepts, and architectures (OLTP vs OLAP, Incremental Loads, etc.)

• Learn how to write and execute ETL test cases based on real-time business scenarios

• Acquire strong SQL skills, from basic to advanced (joins, subqueries, indexing, window functions, optimization, etc.)

• Work with Azure cloud services like Azure Data Factory, Data Lake, Databricks, and U-SQL

• Build and debug ETL pipelines in Azure

• Perform ETL testing in Azure environments, including automation techniques

• Understand how to manage data quality, audit controls, and data governance

• Practice with hands-on exercises and a real-time case study project

 

Course syllabus:

Introduction to ETL and Data Warehousing

• What is ETL and Data Warehousing
• Basics of ETL (Extract, Transform, Load)
• Need for ETL
• Goal of ETL

ETL Concepts and Tools

• ETL Tools Overview
• OLTP vs OLAP
• Historical vs Incremental Loads
• Add, Update, and Delete Scenarios

Source and Target System Understanding

• Understanding Different Types of Sources
• Source vs Target Systems
• Data Transformations

Data Governance and Quality Controls

• Metadata, Logs, and Audit Tables
• Data Controls and Technical Controls

ETL Testing Process

• ETL Testing vs Database Testing
• Responsibilities of an ETL Tester
• ETL Testing Lifecycle
• Writing ETL Test Cases
• Real-Time Project Case Study

SQL Basics

• Introduction to SQL
• Data Manipulation Language (DML)
• Data Definition Language (DDL)

Intermediate SQL Concepts

• Joins (Inner, Left, Right, Full)
• Aggregate Functions
• Grouping Functions
• Subqueries and Nested Queries
• Views

Advanced SQL Functions

• Date Functions
• Pivot Functions
• Set Operations
• Indexing
• String Functions
• Case Statements
• Common Table Expressions
• Window Functions

Analytical SQL Functions

• Lead and LAG functions

Query Optimization

• Optimization techniques

• User Defined Functions

Hands-on Practice

• Exercises for Each Topic

Azure Fundamentals

• Introduction to Azure
• Azure Components

Azure Data Integration Tools

• Azure Data Factory
• Unified Structured Query Language (U-SQL)
• Azure Data Lake
• Azure Data Analytics
• Azure Databricks

Azure Data Factory Pipelines

• Different type of Pipelines
• Segments of Pipelines
• Create and Debug Pipelines

Azure Databricks

• Notebooks
• DataFrames
• Cluster

Testing and Automation with Azure

• Testing in Azure Environment
• ETL Test Automation with Azure

Demo with free licensed Azure

• Sample Case study for ETL Testing project with Azure components

 

How can enroll in this course?

Enroll For Free Demo

OR
Call me or WhatsApp me on +91-9133190573 to enroll for the course

 

Live Sessions  Price:

For LIVE sessions – Offer price after discount is 200 USD 159 USD 89 USD Or 13000 INR 9000 INR 6900 Rupees

 

Sample Course Completion Certificate:

Your course completion certificate looks like this……