ETL Automation Testing Masterclass with SQL, Python, Power BI, Azure, SSIS and Pytest
(ETL Testing with Azure, ETL Automation, ADF, SQL & Databricks through real-time projects & 1-1 Interviews)
Unlock your career potential with the Complete ETL Testing to Azure Automation Master Program — a hands-on, 35-hour training designed to make you industry-ready in ETL Testing, SQL, SSIS, Power BI, Python Automation, and Azure Databricks.
This program covers everything from data warehousing fundamentals to cloud-based automation, combining theory with practical labs and real-time projects. You’ll learn to validate complex ETL processes, automate data validation using Pytest, and orchestrate end-to-end pipelines on Azure Data Factory and Databricks.
Perfect for aspiring ETL Testers, Data Engineers, and Automation Professionals, this course ensures you gain in-depth technical knowledge, hands-on experience, and interview readiness to excel in the modern data engineering landscape.
About the Instructor:
| Haran is a seasoned data professional with over 13 years of expertise in ETL testing, cloud data integration, and Azure-based data engineering. Throughout his career, he has successfully designed, implemented, and validated complex data pipelines and cloud migration strategies using tools like 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, Haran brings both technical depth and practical insight to every training session. His teaching approach is highly hands-on, focused on real-world examples and scenario-based exercises that equip learners with project-ready skills in cloud data environments. Renowned for his clarity and approachability, Haran has mentored hundreds of professionals transitioning into cloud data engineering, empowering them with the knowledge and confidence to thrive in Azure analytics roles. |
Sample Videos:
“ETL Automation Testing Masterclass with SQL, Python, Power BI, Azure, SSIS and Pytest”-Demo Video
““ETL Automation Testing Masterclass with SQL, Python, Power BI, Azure, SSIS and Pytest”-Day 1 Video
Live Sessions Price:
For LIVE sessions – Offer price after discount is 129 USD 109 89 USD Or USD15000 INR 9900 INR 6900 Rupees.
OR
Weekend Batch
Free Demo On:
29th November @ 7:00 PM – 8:00 PM (IST) (Indian Timings)/
29th November @ 8:30 AM –9:30 AM (EST) (U.S Timings)/
29th November @ 1:30 PM – 2:30 PM (BST) (U.K Timings)
Class Schedule:
For Participants in India: Every Saturday and Sunday @ 7:00 PM – 9:00 PM (IST)
For Participants in the US: Every Saturday and Sunday @ 8:30 AM – 10:30 AM (EST)
For Participants in the UK: Every Saturday and Sunday @ 1:30 PM – 3:30 PM (BST)
What student’s have to say about Trainer :
| 👨 Completed ETL Testing course with Haran Sir — truly insightful and well-structured. His teaching style made complex topics easy to grasp. Really appreciate the extra time he gave us from his personal schedule. Very supportive and patient throughout the sessions. Highly recommend learning from him — great mentor and a great human being! – Siddhartha
👩 Me comparing from the day of starting the course to day of completion of ETL Testing , i gained good knowledge. Haran Sir is very patient in clearing doubts of all in the class – Bhargavi b 👩 Excellent course! The trainer explained every ETL concept in a simple and understandable way. The real-time case studies and Azure demos were super helpful — Asha 👨 Great experience! I joined as a beginner and now feel confident with ETL testing and Azure Data Factory. Highly recommended for freshers and experienced alik — Daniel Smith 👩 Very structured and hands-on. The best part was the live demo using Azure and automation testing concepts. It really helped me understand how things work in the real world. — Sneha P 👨 Content is well-organized, and the SQL practice sessions helped me a lot. The trainer is very knowledgeable and clarifies all doubts patiently. — Mohammed Faisal 👩 Loved the way complex Azure tools like Data Factory and Databricks were explained. The real-time scenarios shared by the trainer gave great insight into project work. — Pavithra R 👨 Perfect course for anyone looking to switch into ETL or cloud testing roles. The trainer’s way of teaching and the detailed syllabus make it totally worth it. — Lina Rodriguez |
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 ETLand 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 casesbased on real-time business scenarios
- Acquire strong SQL skills, from basic to advanced (joins, subqueries, indexing, window functions, optimization, etc.)
- Work with Azure cloud serviceslike Azure Data Factory, Data Lake, Databricks, and U-SQL
- Build and debug ETL pipelinesin 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 exercisesand a real-time case study project
Course syllabus:
🧩 ETL Testing (Classes 1 – 7 | 7 Hours)
Class 1 – Introduction to ETL and Data Warehousing
- What is ETL and Data Warehousing
- OLTP vs OLAP
- Goals and components of ETL
- ✅ Quiz Session
Class 2 – ETL Concepts and Tools
- Extract, Transform, Load explained
- Popular ETL tools (SSIS, ADF, Informatica)
- Historical vs Incremental loads
- ✅ Quiz Session
Class 3 – Source and Target Understanding
- Source types (files, DB, APIs)
- Target systems and mapping
- Transformation basics
- ✅ Quiz Session
Class 4 – Data Governance and Quality
- Metadata, logs, audit tables
- Data validation and error handling
- ✅ Quiz Session
Class 5 – ETL Testing Process
- ETL Testing lifecycle
- ETL vs Database testing
- ETL tester responsibilities
- ✅ Quiz Session
Class 6 – ETL Test Case Writing
- Test case design techniques
- Writing and executing ETL test cases
- 💻 Lab: Create and validate sample ETL test case
- ✅ Quiz Session
Class 7 – ETL Project Case Study
- End-to-end validation workflow
- Reporting and defect analysis
- ✅ Quiz Session
🧮 SQL for ETL Testing (with SSMS Labs) (Classes 8 – 18 | 11 Hours)
Class 8 – SSMS Installation and Setup
- Install SQL Server & SSMS
- Create databases and connect
- 💻 Lab: Create and query sample DB
- ✅ Quiz Session
Class 9 – SQL Basics
- DDL & DML commands
- Constraints and keys
- 💻 Lab: Create and modify tables
- ✅ Quiz Session
Class 10 – Filtering and Sorting
- WHERE, ORDER BY, LIKE, BETWEEN
- 💻 Lab: Basic data filtering
- ✅ Quiz Session
Class 11 – Joins (Part 1)
- INNER JOIN and LEFT JOIN
- 💻 Lab: Combine tables
- ✅ Quiz Session
Class 12 – Joins (Part 2)
- RIGHT, FULL, SELF JOIN
- 💻 Lab: Complex joins
- ✅ Quiz Session
Class 13 – Aggregations and Grouping
- SUM, AVG, COUNT, GROUP BY, HAVING
- 💻 Lab: Data summarization
- ✅ Quiz Session
Class 14 – Subqueries and Views
- Simple and correlated subqueries
- Create and use views
- 💻 Lab: Nested query practice
- ✅ Quiz Session
Class 15 – Functions and Indexing
- String, date, CASE functions
- Index basics
- 💻 Lab: Optimize with indexes
- ✅ Quiz Session
Class 16 – CTE and Window Functions
- ROW_NUMBER(), RANK(), LAG(), LEAD()
- 💻 Lab: Analytical SQL
- ✅ Quiz Session
Class 17 – Query Optimization
- Execution plans, performance tips
- 💻 Lab: Optimize SQL
- ✅ Quiz Session
Class 18 – SQL Validation Project
- Source vs Target validation in SQL
- 💻 Lab: ETL validation simulation
- ✅ Quiz Session
⚙️ SSIS Lab Sessions (Classes 19 – 22 | 4 Hours)
Class 19 – SSIS Installation and Add-ons
- Install SSIS and add-ons
- 💻 Lab: Create first SSIS package
- ✅ Quiz Session
Class 20 – Control Flow and Data Flow
- Control flow overview
- 💻 Lab: Data extraction and load
- ✅ Quiz Session
Class 21 – SSIS Transformations
- Lookup, Derived Column, Merge
- 💻 Lab: Transformation testing
- ✅ Quiz Session
Class 22 – SSIS Error Handling
- Logging, validation, checkpoints
- 💻 Lab: Error handling exercise
- ✅ Quiz Session
📊 Power BI (Classes 23 – 24 | 2 Hours)
Class 23 – Power BI Installation and Setup
- Install Power BI Desktop
- Connect to SSMS
- Data loading and model creation
- 💻 Lab: First report setup
- ✅ Quiz Session
Class 24 – Power BI Dashboards and Reports
- DAG and relationship view
- Build and publish reports
- 💻 Lab: Create interactive Power BI dashboard
- ✅ Quiz Session
🧪 Pytest Automation Framework (Classes 25 – 29 | 5 Hours)
Class 25 – Introduction to ETL Automation
- Need for ETL automation
- Pytest basics and structure
- ✅ Quiz Session
Class 26 – Python Essentials for Testing
- Python data handling
- Database connection using pyodbc
- ✅ Quiz Session
Class 27 – Pytest Setup and Fixtures
- Assertions, test functions, and fixtures
- 💻 Lab: Write simple automated test
- ✅ Quiz Session
Class 28 – SQL Query Automation
- Automate SQL and ETL validation
- 💻 Lab: Compare Source vs Target results
- ✅ Quiz Session
Class 29 – Framework Design
- Reusable structure, logging, HTML reports
- 💻 Lab: Build mini ETL automation framework
- ✅ Quiz Session
☁️ Azure Cloud & Databricks Automation (Classes 30 – 35 | 6 Hours)
Class 30 – Azure Fundamentals
- Azure portal overview
- Key services (Storage, SQL DB, Data Factory)
- 💻 Lab: Create Azure resource group
- ✅ Quiz Session
Class 31 – Azure Data Factory Pipelines
- Create and schedule pipelines
- Monitor pipelines
- 💻 Lab: Simple ADF pipeline
- ✅ Quiz Session
Class 32 – Data Validation with ADF
- Source-target data validation
- 💻 Lab: Implement validation logic
- ✅ Quiz Session
Class 33 – Azure Databricks Essentials
- Notebooks, clusters, dataframes
- Reading data from Azure Storage
- 💻 Lab: Build ETL job
- ✅ Quiz Session
Class 34 – Azure Databricks Automation with Python
- PySpark for ETL automation
- Python-based validation
- 💻 Lab: Run automation with PySpark
- ✅ Quiz Session
Class 35 – Azure Databricks Automation with SQL
- SQL queries inside Databricks notebooks
- Combine Python + SQL for full automation
- 💻 Lab: End-to-end ETL validation
- ✅ Quiz Session
🌟 Post-Class Support
- Interview Q&A support for ETL, SQL, SSIS, Power BI, Pytest, and Azure Databricks automation