18-Hour Master Program • Weekend & Evening Slots

ETL Testing using SQL & Enterprise Tools

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Validate data at every stage-extract, transform, and load. Learn dataset profiling, schema checks, reconciliation, automation, and reporting to ensure accurate BI & analytics.

Topics: test design for ETL/ELT, SQL data quality rules, SCD types, partitioning, orchestration basics, CI/CD integration, and evidence-based reporting for audits.

80% practical labs with real datasets
Data quality rules & reconciliation tests
Interview prep & portfolio guidance
QR-verified global certification

80% Hands-On

Test real ETL/ELT data pipelines end-to-end

Expert Mentors

15+ yrs in Data Warehousing & BI

Global Certification

ETL + SQL certificate with QR verification

100% Placement

Resume, mock interviews & referrals

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Real-World Outcomes: ETL Testing Program Snapshot

Figures sourced from the official ETL Testing & Development brochure: total training time, curriculum depth, hands-on capstones, and mapped job roles-so you know exactly what you’ll get.

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Total Training

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Structured Curriculum

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Hands-on Learning

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Career Pathways

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The program blends ETL/ELT fundamentals, SQL validation, automation (Python/Selenium), and modern platforms (Talend, Informatica, Snowflake, Power BI) with capstone delivery aligned to real job roles.

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2025 Ready • Industry-Validated Skills

Why Master ETL Testing in 2025?

Data powers every decision. ETL Testing ensures your datasets are accurate, compliant, and analytics-ready—from raw extract to trusted dashboards.

99.9% Data Accuracy

Prevent costly BI & dashboard errors with strict reconciliation and schema checks.

10x Faster Validation

Automate ETL/ELT test suites for repeatable, audit-ready data quality.

Compliance-Ready

GDPR, HIPAA, SOX-aligned test evidence with verifiable logs & reports.

Pipeline Reliability

Validate sources, transforms, partitions, and loads that power analytics & ML.

Global Demand

Every industry depends on governed data—finance, health, e-commerce, SaaS.

Higher Salaries

ETL testing specialists earn up to 30% more than generic QA roles.

Validate schemas, transforms, partitions, and loads. Automate reconciliation, generate audit-ready reports, and boost reliability for BI, ML, and data platforms.

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Industry-Ready ETL Testing Curriculum

Learn DW architecture, SQL-based ETL validation, manual & automated testing, and development with Talend and Informatica. Wrap up with capstone projects integrating Snowflake, SnapLogic, and Power BI.

1
Introduction to ETL
2 Hours
- Overview of ETL vs ELT
- Importance in data pipelines
- Roles: ETL testers & developers
Outcomes: hands-on labs, checklists, and review rubrics to validate every ETL stage (extract → transform → load).
2
Data Warehousing Concepts
4 Hours
- DW architecture
- Star vs Snowflake schema
- Relational vs Dimensional models
Outcomes: hands-on labs, checklists, and review rubrics to validate every ETL stage (extract → transform → load).
3
SQL for ETL Testing
16 Hours
- Basic to advanced SQL
- Data validation with SQL
- Debugging SQL-based ETL jobs
Outcomes: hands-on labs, checklists, and review rubrics to validate every ETL stage (extract → transform → load).
4
Manual ETL Testing
10 Hours
- Test plans & strategy
- Test case design (completeness & accuracy)
- Defect management
Outcomes: hands-on labs, checklists, and review rubrics to validate every ETL stage (extract → transform → load).
5
Automation in ETL Testing
20 Hours
- Python-based automation
- Selenium for ETL validation
- Parameterization & reporting
Outcomes: hands-on labs, checklists, and review rubrics to validate every ETL stage (extract → transform → load).
6
Talend for ETL Development
10 Hours
- Talend Studio essentials
- tMap & tJoin
- Dynamic schemas
- Multi-source integration
Outcomes: hands-on labs, checklists, and review rubrics to validate every ETL stage (extract → transform → load).
7
Informatica for ETL Development
10 Hours
- Workflows
- Transformations
- Debugging
- Optimization
Outcomes: hands-on labs, checklists, and review rubrics to validate every ETL stage (extract → transform → load).
8
Data Transformation & Validation
10 Hours
- Null handling
- Deduplication
- Business rules
- Real-time validation
Outcomes: hands-on labs, checklists, and review rubrics to validate every ETL stage (extract → transform → load).
9
ETL Tools Overview
10 Hours
- Snowflake
- SnapLogic
- Power BI in ETL workflows
Outcomes: hands-on labs, checklists, and review rubrics to validate every ETL stage (extract → transform → load).
10
Capstone Projects
8 Hours
- Retail sales data ETL testing
- E-commerce ETL design & validation
- Multi-tool integration (Talend, Informatica, Python, Selenium)
- Insights & reporting with Power BI
Outcomes: hands-on labs, checklists, and review rubrics to validate every ETL stage (extract → transform → load).

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Enterprise-grade stack • Job-ready workflows

Tools You’ll Master

Learn the ETL & orchestration platforms used across data teams—hands-on, project-driven, and hiring manager approved.