🚀 Advanced ETL & Big Data Automation Testing Program

Course Description

This industry-focused advanced training program is designed to help professionals master ETL and Big Data Automation Testing using real-world frameworks, cloud platforms, and modern automation techniques.

The course goes beyond traditional ETL testing by focusing on end-to-end automation of data pipelines, large-scale data validation, and production-grade data quality frameworks. You will gain hands-on experience in automating complex ETL workflows across cloud and big data ecosystems, exactly how it is done in real projects.

By the end of this course, you will be able to design, build, and execute scalable ETL automation frameworks suitable for enterprise-level data platforms.

⭐ Key Highlights

End-to-End ETL & Big Data Automation Coverage

Real-Time Industry Frameworks (Not Demo-Only Examples)

Hands-On Projects with Large Datasets

Cloud-Based Execution & CI/CD Integration

Agent-Driven & AI-Assisted Automation Concepts

Trainer-Led Sessions with Practical Problem-Solving

Lifetime Access to Recordings & Framework Code

🎯 What You Will Learn

🔹 Advanced ETL & Big Data Testing Techniques

Automate validation for counts, duplicates, nulls, schema drift, and data integrity

Test bronze, silver, and gold data layers

Handle slowly changing dimensions (SCD) and incremental loads

Validate large-volume datasets efficiently using PySpark

🔹 Automation Tools & Frameworks

Build custom ETL Automation Frameworks using Python & PySpark

Implement Pytest-based Data Quality Automation

Automate file-based, database-based, and cloud-based validations

Integrate automation with CI/CD pipelines

🔹 Industry Best Practices

Design scalable and reusable automation frameworks

Implement logging, reporting, and error-handling standards

Follow real-world project structures and deployment strategies

Understand production challenges and optimization techniques

👨‍💻 Who Should Join

ETL / Data Quality / Data Testing Engineers

Data Engineers looking to strengthen validation & automation skills

QA Professionals transitioning to Data & Big Data Testing

Professionals aiming for Cloud Data Engineering & Automation Roles

🎓 Outcome of the Course

After completing this program, you will be able to:

Confidently automate end-to-end ETL & Big Data testing

Work on real-time data engineering projects

Crack ETL Automation & Data Quality interviews

Apply industry-grade automation frameworks in live environments