ETL Testing with Azure: SQL, Python, Data Factory & Databricks and ETL Pipelines for Data Testers – Live Training
(SQL, Adv SQL, Python & Pandas, Azure, Azure Data Factory, Azure Data Bricks, ETL Pipelines & Real time Project)
Live Hands-On Projects | No Experience Needed | Beginner-Friendly | Career Boosting | Cross-Cloud Ready
This comprehensive course is designed to equip professionals with the essential skills required for effective data testing in Microsoft Azure environments. It covers foundational concepts in ETL testing, Azure cloud architecture, and advanced SQL techniques, progressing through practical hands-on projects using tools like Azure Data Factory, Databricks, and Pandas. Participants will gain expertise in building, debugging, and optimizing ETL pipelines, supported by real-world case studies and project-based learning. The course concludes with advanced testing scenarios, interview preparation, and resume-building strategies, making it ideal for aspiring data testers and cloud professionals.
About the Instructor:
Arathy is a seasoned QA Test Lead and expert trainer with over 9 years of experience in ETL/Data Warehouse Testing, Data Migration, and BI Reports Testing.
She has delivered 40+ successful corporate trainings and trained hundreds of students on end-to-end ETL Testing using Azure, Azure Data Factory, SQL, Python, Databricks, and ETL pipelines. Known for her practical, hands-on teaching style, Arathy simplifies complex topics and delivers real-world insights tailored to industry needs.
She brings strong expertise in API Testing with Postman and automation using Python. Arathy is also well-versed in Agile/Scrum and known for her problem-solving skills. Her sessions are interactive, project-based, and focused on helping learners become job-ready. She consistently receives excellent feedback for her impactful and engaging training approach
Live Sessions Price:
For LIVE sessions – Offer price after discount is 159 USD 129 99 USD Or USD9900 INR 6900 Rupees.
OR
What will I learn by the end of this course?
- Master the Fundamentals: Gain a solid foundation in ETL testing and Azure cloud architecture.
- Advanced SQL Proficiency: Learn powerful SQL techniques for efficient data manipulation and analysis.
- Hands-On Python & Pandas: Work with Python and Pandas to perform advanced data testing and analysis.
- ETL Pipeline Expertise: Build, debug, and optimize data pipelines using Azure Data Factory and Databricks.
- Real-World Application: Apply your skills through practical projects and real-world data testing scenarios.
- Career-Ready Preparation: Get interview-ready with expert tips and resume-building strategies for data testing roles.
- comprehensive knowledge of end-to-end ETL Testing using Azure Cloud and develop a strong command of complex SQL.
Free Demo Session:
22nd April @ 8 PM – 9 PM (IST) (Indian Timings)
22nd April @ 10:30 AM – 11:30 AM (EST) (U.S Timings)
22nd April @ 3:30 PM – 4:30 PM (BST) (UK Timings)
Class Schedule:
For Participants in India: Monday to Friday 8 PM – 9 PM (IST)
For Participants in the US: Monday to Friday 10:30 AM – 11:30 AM (EST)
For Participants in the UK: Monday to Friday 3:30 PM – 4:30 PM (BST)
What student’s have to say about Arathy :
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The course provided an exceptional learning experience, combining in-depth theoretical knowledge with practical hands-on projects. The structured approach to Azure data architecture and ETL testing significantly enhanced my technical proficiency.” — Sourya “I found the curriculum to be highly comprehensive, covering advanced topics like SQL optimization, data pipeline testing with Azure Data Factory, and real-world data scenarios using Databricks. The instructor’s expertise made complex concepts accessible and engaging.” — Joseph “This course exceeded my expectations with its focus on real-world applications and hands-on labs. The step-by-step guidance in debugging data pipelines and optimizing performance in Azure environments was particularly valuable.” — Meena “The course structure is well-designed, ensuring a smooth transition from foundational concepts to advanced data testing techniques. The projects, especially those involving data validation and performance testing, prepared me for real industry challenges.” — meenan “What sets this course apart is its practical orientation. The hands-on exercises with Azure Data Factory and Databricks not only reinforced my understanding but also boosted my confidence to handle real-time data testing projects.” — Nina. “This course has been instrumental in enhancing my data testing capabilities. The comprehensive coverage of Azure services, combined with best practices for ETL processes and data validation, has been invaluable for my professional growth.” — Mehar |
Salient Features:
- 40 hours Hours of Live Training
- Every session gets recorded and lifetime access to these videos will be given.
- Lifetime access to the recorded videos
- Course Completion Certificate
Who can enroll in this course?
- Aspiring Data Testers: Individuals aiming to start a career in data testing, especially in cloud environments.
- ETL Testers: Professionals with basic ETL knowledge looking to specialize in Azure-based data testing
- Data Analysts & Engineers: Those wanting to enhance skills in data pipelines, validation, and performance optimization in Azure.
- Software Testers: Testers transitioning into data testing roles or seeking to strengthen their cloud testing expertise.
- Cloud Enthusiasts: Professionals eager to gain hands-on experience with Azure services like Data Factory, Databricks, and SQL.
- Database Administrators (DBAs): Individuals interested in cloud-based data workflows, ETL testing, and database management.
- Students & Fresh Graduates: Those passionate about data analytics, cloud computing, or software testing, aiming to build practical, job-ready skills.
Course syllabus:
40-Day Course Curriculum (Day-wise)
Week 1: ETL Testing, Azure Fundamentals & Cloud Data Architecture Basics
- Day 1: ETL Testing, Datawarehouse, and Key Concepts
- Day 2: Introduction to Cloud Computing and Azure Cloud
- Day 3: Cloud Datawarehouse vs On-Prem Datawarehouse
- Day 4: Core Azure Cloud Concepts for ETL Testing
- Day 5: Data Flow Architecture in Azure & Intro to Medallion Architecture
Week 2: SQL Basics + Advanced
- Day 6: SQL Basics – SQL Server Overview and Writing Simple Queries
- Day 7: SQL Joins and Aggregations
- Day 8: SQL Query Practice
- Day 9: Advanced SQL – Common Table Expressions (CTEs) & Working with Views
- Day 10: Hands-on: SQL Server – Query Practice
Week 3: Advanced SQL
- Day 11: Aggregate Window Functions (MIN, MAX, COUNT, AVG)
- Day 12: Hands-on: SQL Server – Query Practice
- Day 13: SQL Ranking Window Functions – Part 1 (ROW_NUMBER, RANK, DENSE_RANK)
- Day 14: SQL Value Window Functions – Part 2 (LEAD, LAG, FIRST_VALUE, LAST_VALUE)
- Day 15: Advanced SQL Queries Practice
Week 4: Python & Pandas for Testers
- Day 16: Python Basics – Part 1 (Variables, Loops, Functions)
- Day 17: Python Basics – Part 2 (Data Types and File Handling)
- Day 18: Introduction to Pandas Library – Part 1
- Day 19: Pandas Library – Part 2 (Filtering, Grouping, Sorting)
- Day 20: Debugging CSV/Parquet Files in Pandas (Hands-on)
Week 5: Introduction to Databricks & Hands-on Practice
- Day 21: Introduction to Databricks and Notebooks – Overview and Key Concepts
- Day 22: Setting Up and Configuring Databricks for ETL Testing
- Day 23: Hands-on: Using Pandas in Databricks for Data Testing (Reading and Filtering CSV/Parquet Files)
- Day 24: Hands-on: Writing SQL Queries in Databricks Notebooks
- Day 25: Advanced Hands-on Practice – Combining SQL and Pandas for Data Analysis
Week 6: Azure Data Factory (ADF) Overview & Pipelines + Azure Databricks Hands-on
- Day 26: Exploring Azure Portal – Part 1
- Day 27: Azure Data Factory (ADF) Overview
- Day 28: Building and Testing Pipelines in ADF
- Day 29: Advanced Debugging Techniques in ADF
- Day 30: Hands-on Session in Azure Databricks – End-to-End Testing Practice
Week 7: Advanced SQL, Azure Databricks & Real-world Testing
- Day 31: Understanding the role of ETL Testers & data Engineers
- Day 32: Real-world Case Study – Data Migration in Azure
- Day 33: Project-based Learning – Building and Testing Dataflows
- Day 34: Project Work – Common Test Scenarios & Defects
- Day 35: Data Visualizations in Azure Data Studio & Databricks
Week 8: Final Project & Bonus Skills
- Day 36: Final Project Kick-off – Build an ETL Data Pipeline (Introduction & Case Study)
- Day 37: Project Work – Setting Up Dataflows in ADF and Azure SQL
- Day 38: Project Work – Debugging Data with ADF & Databricks
- Day 39: Project Work – Common Bugs in ADF & Databricks Notebooks
- Day 40: Bonus Session: Interview Tips, Resume Preparation Tips
