ETL Automation Testing with Python, SQL Server & Snowflake – Real-Time Project Day2

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:

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 ~~USD~~~~ 89 USD Or ~~19000 INR 99000 INR~~ 6900 Rupees.

Enroll For Free Demo

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 :

👩 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

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