ETL Automation Testing with Python, SQL Server & Snowflake – Real-Time Project – Live Training
(Design ETL Automation Frameworks | Data Validation | Incremental Loads | Snowflake Testing | Real-Time End-to-End Project)
This ETL Automation Testing Course helps QA professionals, ETL testers, and data engineers learn how to automate data validation in modern data warehouse environments. You will gain hands-on experience in ETL Testing with Python, SQL Server, and Snowflake, and learn how to validate data accuracy between source and target systems.
The course covers essential ETL testing techniques such as row count validation, column validation, NULL checks, duplicate checks, and transformation validation, along with advanced concepts like incremental load testing and CDC (Change Data Capture). You will also build a practical ETL automation framework using Python and SQL.
With real-time ETL testing scenarios and a complete end-to-end ETL automation project, you will gain job-ready skills and confidence to become an ETL Tester or ETL Automation Engineer.
Why This ETL Testing Course?
- Learn ETL Testing from scratch with real-time industry examples
- Gain hands-on experience with real ETL and data warehouse projects
- Master ETL automation using Python and SQL
- Learn to validate data between source and target systems like SQL Server and Snowflake
- Build practical ETL automation framework used in real companies
- Understand real-world ETL testing scenarios including incremental loads and CDC
- Improve your data validation and SQL skills for ETL testing roles
About the Instructor:
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Divya is a highly experienced Cloud Data Engineer and ETL Testing Trainer with over 7+ years of professional experience in the IT industry. She has strong expertise in ETL Testing, Data Warehousing, ETL Automation, and Cloud Data Engineering, helping organizations build reliable and scalable data solutions. She has extensive hands-on experience with industry-leading tools and technologies including Informatica PowerCenter, IICS, MS SQL Server, Python, SnapLogic, and Google Cloud Platform (BigQuery, CloudSQL, Composer/Airflow). Her expertise includes data validation, ETL automation frameworks, and real-time data warehouse projects. As a passionate corporate trainer and mentor, Divya has trained and guided many professionals and freshers in ETL Testing, Data Engineering, and Automation using Python. She focuses on practical, real-world training to help learners gain job-ready skills and succeed in ETL Testing and Data Engineering careers. |
Sample Videos:
ETL Automation Testing- Live Training Demo Video:
ETL Automation Testing- Live Training Day 1 Video:
Live Sessions Price:
Offer price after discount is 200 USD 159 89 USD Or USD19000 INR 99000 INR 6900 Rupees.
OR
Weekend batch
Free Day2 On:
Indian Timings: 25th April @ 7:30 PM – 8:30 PM (IST)/
U.S Timings: 25th April @ 10 AM – 11 AM (EST)/
U.K Timings: 25th April @ 3 PM – 4 PM (BST)
Class Schedule:
For Participants in India: Every Saturday and Sunday @7:30 PM– 9:30 PM (IST)
For Participants in the US: Every Saturday and Sunday @ 10:00 AM – 12:00 PM (EST)
For Participants in the UK: Every Saturday and Sunday @ 3:00 PM – 5:00 PM (BST)
What student’s have to say about Trainer :
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👩 The ETL sessions were very understandable and transparent. Divya Ma’am provides clear explanations of each idea along with useful real-world examples. I gained a thorough understanding of staging, data warehouse, facts, dimensions, and transformations thanks to this training. All things considered, the class was really beneficial and educational. I’m grateful – Alekhya 👨This course gave me complete confidence in ETL automation. – Arush Patro 👩I loved how the trainer explained SQL and ETL testing basics. The automation part with Python was a game changer for me.– Greeshma Gaikward 👨The course covered everything from ETL fundamentals to advanced automation. The real-time scenarios and projects gave me confidence to apply my skills at work. Truly industry-relevant training. – Meghansh 👩I liked the step-by-step approach, starting from basics and gradually moving to automation frameworks. The trainer also helped with interview preparation, which added a lot of value to the course.– Abdul 👨Clear explanations, hands-on practice, and excellent support throughout. Highly recommend for anyone starting ETL testing. – Justin 👩 I completed ETL Python Automation Testing training with Divya Mam. She explained the concepts very clearly and in a simple way, along with practical examples. The training included the ETL process, SQL Server, Snowflake, and Python automation with real-time scenarios. Divya Mam is very patient and always ready to clarify doubts. This training helped me understand real-time ETL automation testing work. – Manga Devi |
What will I learn by the end of this course?
- Understand how ETL and data warehouse projects work in real time
- Automate data validation using Python and SQL
- Perform row count, column, NULL, and duplicate checks
- Test incremental loads and CDC scenarios
- Validate data between SQL Server and Snowflake
- Build a simple ETL automation framework
- Work on a real-time end-to-end ETL automation project
- Be confident for interviews with practical knowledge
Who can enroll for this course?
- ETL Testers looking to expand into ETL automation using Python
- Manual Testers who want to move into ETL or Data Testing
- QA Professionals working on data warehouse or backend testing
- Data Analysts / Data Engineers who want to strengthen testing and validation skills
- Freshers with basic SQL knowledge interested in ETL and data testing
- Professionals preparing for ETL / Data Testing interviews
Salient Features:
- 30 Hours of Live Training along with recorded videos
- Lifetime access to the recorded videos
- Course Completion Certificate
Course syllabus:
Week 1: ETL Automation Strategy & SQL Validation
- ETL automation testing approach in real projects
- What ETL scenarios should be automated
- Mapping document to automation-ready test cases
- Row count, delta count and reconciliation queries
- Column-level, NULL and duplicate validations
- Incremental load validation using SQL
Week 2: Python Basics for ETL Automation
- Python syntax essentials
- Variables, data types, loops and conditions
- Functions and modules
- File handling (CSV / TXT)
- Exception handling and logging
- Virtual environments and package management
Week 3: Python Database Connectivity (SSMS & Snowflake)
- Connecting to SQL Server using pyodbc
- Connecting to Snowflake using snowflake-connector-python
- Executing dynamic and parameterized SQL queries
- Fetching result sets
- Pandas-based source vs target comparison
- Mismatch identification and reporting
Week 4: ETL Automation Framework Development
- ETL automation framework architecture
- Reusable validation functions
- Config-driven execution (JSON / Excel)
- Automating row count, column and transformation checks
- Logging and reporting mechanism
- Handling large data volumes
Week 5: Advanced ETL Automation & Snowflake Focus
- Incremental and CDC automation testing
- Data reconciliation strategies
- Snowflake SQL vs SQL Server differences
- Performance-aware testing in Snowflake
- Time Travel usage for validation
- Schema change and failure handling
Week 6: Execution Scheduling & End-to-End ETL Automation Project
- Automation execution using Windows Task Scheduler or Cron
- Environment-based execution (DEV / QA / PROD)
- End-to-end ETL automation project (SSMS to Snowflake)
- Incremental load validation and reconciliation
- Automated logging and reporting
- Interview-oriented project explanation