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 Demo On:
Indian Timings: 18th April @ 7:30 PM – 8:30 PM (IST)/
U.S Timings: 18th April @ 10 AM – 11 AM (EST)/
U.K Timings: 18th 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
How can enroll in this course?
Call or Whatsapp Kumar gupta @ +91-9133190573
OR
Offer price after discount is 200 USD 159 89 USD Or USD19000 INR 99000 INR 6900 Rupees.
FAQ –ETL Automation Testing with Python, SQL Server & Snowflake – Real-Time Project
1. What is ETL Testing?
ETL Testing is the process of validating data extracted from source systems, transformed according to business rules, and loaded into target systems like data warehouses to ensure accuracy, completeness, and consistency.
2. Who can take this ETL Testing course?
This course is suitable for:
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Manual Testers
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Automation Testers
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ETL Testers
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QA Engineers
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Data Analysts
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Freshers interested in data testing
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Anyone who wants to learn ETL Testing and automation using Python
3. Do I need programming knowledge to join this course?
No prior programming experience is required. Basic SQL knowledge is helpful, and Python automation will be taught from basics.
4. What tools and technologies will I learn in this course?
You will learn:
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ETL Testing concepts
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SQL Server
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Snowflake
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Python for ETL automation
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Data validation techniques
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ETL automation framework development
5. Does this course include real-time project experience?
Yes, this course includes a real-time end-to-end ETL automation project to give you practical industry experience.
6. Will I learn ETL Automation using Python?
Yes, you will learn how to automate ETL data validation using Python and build a reusable automation framework.
7. Is ETL Testing in demand in the job market?
Yes, ETL Testing is highly in demand due to the increasing use of data warehouses, cloud platforms like Snowflake, and data-driven applications.
8. Will this course help me crack ETL Testing interviews?
Yes, the course includes practical exercises, real-time scenarios, and interview-focused preparation to help you clear ETL Testing interviews.
9. What career opportunities are available after this course?
After completing this course, you can apply for roles such as:
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ETL Tester
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ETL Automation Tester
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Data Warehouse Tester
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QA Automation Engineer
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Data Validation Engineer
10. Will I get course completion certification?
Yes, you will receive a course completion certificate after successfully finishing the training.
Sample Course Completion Certificate:
Your course completion certificate looks like this……

Testimonials:
Important Note:
To maintain the quality of our training and ensure a smooth learning experience for all participants, we do not allow batch repetition or switching between courses.
To reiterate, moving from one course to another or shifting from one trainer to another (even if it is the same course) is not possible. Changing batches or trainers in any form is strictly not permitted.
We request all learners to attend the scheduled sessions regularly and make the most of their learning journey. Thank you for your understanding and continued support.
Course Features
- Lectures 52
- Quiz 0
- Duration 30 hours
- Skill level All levels
- Language English
- Students 0
- Assessments Yes
- 8 Sections
- 52 Lessons
- 30 Hours
- Basics of Data & ETL Foundations8
- 1.1What is Data? Types of data (Structured, Semi-structured, Unstructured)
- 1.2Introduction to Databases and Tables
- 1.3OLTP vs OLAP with real-life examples
- 1.4Why do we need Data Warehousing?
- 1.5Data Warehouse Architecture basics (Source → Staging → DWH → Reporting)
- 1.6Fact & Dimension tables explained with daily-life examples
- 1.7Star Schema vs Snowflake Schema
- 1.8Very simple intro to ETL process (Extract, Transform, Load)
- SQL Basics for ETL Testing8
- 2.1Introduction to SQL (SELECT, WHERE, ORDER BY)
- 2.2Joins explained with examples (INNER, LEFT, RIGHT)
- 2.3Group By, Aggregations (SUM, COUNT, AVG)
- 2.4Subqueries basics
- 2.5Intro to Primary Key & Foreign Key
- 2.6Hands-on SQL practice on datasets (sales/orders type examples)
- 2.7Why SQL is the core skill for ETL Testing
- 2.8Intro to Data Quality dimensions (Accuracy, Completeness, Consistency)
- ETL Testing Fundamentals7
- 3.1What is ETL Testing? Why is it different from normal testing?
- 3.2ETL Testing Lifecycle (mapping document → test cases → execution → defect logging)
- 3.3ETL Testing vs Manual Testing
- 3.4Data validation basics (row counts, duplicate checks, NULL checks)
- 3.5Transformation Testing (examples like convert date format, derive new column)
- 3.6Writing ETL Test Cases & Test Scenarios
- 3.7Defect Life Cycle in ETL Testing (with example)
- Tools & Hands-On Practice5
- 4.1Overview of ETL tools (Informatica PowerCenter, IICS, Talend — just awareness)
- 4.2Basic UNIX commands (ls, cat, grep, wc, shell scripting basics)
- 4.3Real manual ETL testing scenarios (data completeness, duplicates, mismatched values)
- 4.4Data Profiling basics (checking quality before ETL)
- 4.5case study: Validating a source → staging → target load
- Introduction to Automation with Python6
- 5.1Why Automation in ETL Testing? (real-world need)
- 5.2Python Basics: Variables, Data Types, Loops, If-Else
- 5.3Using Python for SQL query execution (pyodbc/sqlalchemy)
- 5.4Reading/writing data from CSV & databases
- 5.5pandas basics for comparison (df.equals, merge, differences)
- 5.6Error handling, logging basics in Python
- Advanced Automation with Python7
- 6.1Functions, Modules, File handling in Python
- 6.2Writing reusable test scripts (parameterized)
- 6.3Automating SQL execution + validation
- 6.4Automating reconciliation between source & target tables
- 6.5pytest/unittest basics (automation frameworks)
- 6.6Config-driven testing (test cases from Excel/JSON)
- 6.7Scheduling scripts (cron/Windows Task Scheduler)
- Real-World ETL Automation & Cloud6
- Final Project & Career Prep5




