Modern ETL Testing with AI: SQL, Python & AI for Real-World Data Validation

By: Mondal, Masud

Modern ETL Testing with AISQL, Python & AI for Real-World Data Validation

Modern ETL Testing Series - Volume 1

Are you looking to start a career in ETL Testing or upgrade your skills with SQL, Python, and AI?

Do you find traditional ETL books too theoretical and difficult to follow?

Modern ETL Testing with AI - Volume 1 is a beginner-friendly, practical guide designed to help you learn ETL testing step by step using simple language, real-world examples, and hands-on projects.

Instead of overwhelming you with theory, this book focuses on what ETL testers actually do in real projects-validating data, writing SQL queries, automating checks with Python, and using AI tools to work faster and smarter.

What You'll Learn

Understand ETL architecture and data flow from source systems to data warehouses

Master SQL fundamentals for ETL testing, including:

SELECT, WHERE, GROUP BY, ORDER BYINNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOINAggregations and reconciliation queriesPractical data validation techniques

Learn Python for ETL testing:

pandas basicsDatabase connectivityAutomated validation scriptsPASS/FAIL reporting

Explore Data Warehouse concepts:

Fact and Dimension tablesStar SchemaSlowly Changing Dimensions (SCD)

Perform common ETL validations:

Row count validationNull value validationDuplicate record checksAggregate validationSource-to-target reconciliation

Discover how AI can assist ETL testers:

Generate SQL queriesCreate Python scriptsWrite test casesAnalyze validation failuresUse ChatGPT, Claude, and Gemini effectively

Understand modern Cloud ETL architecture and industry trends

Build confidence with two real-world projects:

Banking ETL Testing ProjectInsurance ETL Testing ProjectWhy This Book Is DifferentUnlike many ETL books that focus heavily on concepts, this book emphasizes: Simple explanations with minimal jargonPractical SQL and Python examplesAI-assisted testing techniquesReal enterprise scenariosInterview-oriented insightsBeginner to intermediate learning path

Who Should Read This Book?

This book is ideal for:

Beginners starting their ETL Testing journeyQA Engineers transitioning to Data TestingManual Testers learning automationAutomation Testers exploring ETL and Data QualityFreshers preparing for ETL Testing interviewsProfessionals interested in AI-powered testingModern ETL Testing Series

This book is Volume 1 of the Modern ETL Testing Series, a practical series that teaches ETL testing using modern technologies and real-world examples.

Upcoming volumes cover:

Advanced ETL Testing with AICloud ETL Testing with AIPython Automation for ETL TestingCDC, SCD & Incremental Load TestingSnowflake, Databricks & Modern Data Pipelines

• Format: Paperback
• Language: English
• ISBN: B0H5K4PG8Q
• ISBN13: 9798181826137
• Release Date: June 2026
• Publisher: Independently Published
• Length: 140 Pages
• Weight: 0.43 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"