Next batch: Nov 1644 seats leftPerungudi, Anna Nagar, Sholinganallur

Intellea
+91 74488 48481

ETL Testing Training in Anna Nagar

  • Learn From ETL Testing Experts With Real Industry Project Experience.
  • Learn Flexibly With Weekday, Weekend, and Fast-Track Batch Options.
  • Build Confidence With Real-Time Projects That Prove Your Expertise.
  • Support Your Career With Resume Creation, Interview, and Placement.
4.9 455 Google reviews

500+ trained · 100% placed · 120+ projects built

  • Regular batch classes
  • Doubt‑clearing sessions
  • Expert classes
  • Real projects
  • Placement support
  • Global Certificates
Enquire Now Download Brochure

Where alumni work

Intellea alumni work at leading tech companies and growing startups

Our alumni are building successful careers across reputed tech firms and promising startup ecosystems.

Google Cloud logoGoogle CloudMicrosoft logoMicrosoftAmazon logoAmazonIBM logoIBMOracle logoOracleSalesforce logoSalesforceInfosys logoInfosysWipro logoWiproHCLTech logoHCLTechCognizant logoCognizant
Capgemini logoCapgeminiThoughtworks logoThoughtworksHexaware logoHexawareAtos logoAtosFidelity logoFidelityWells Fargo logoWells FargoAmerican Express logoAmerican ExpressBinance logoBinanceZoho logoZohoGoogle logoGoogle

About this course

What You’ll Learn in the ETL Testing Course in Anna Nagar

Our ETL Testing Course in Anna Nagar is designed for students, freshers, working professionals, and beginners who want to build practical data testing skills. The course takes you from ETL fundamentals to real-world testing, SQL validation, PySpark, Python, and test automation. Through live instructor-led sessions, you learn concepts clearly and practise them with real data scenarios. You’ll work on hands-on projects, assignments, and testing tasks while mentors help whenever you get stuck. You also get notes, code, templates, and recordings for revision. Career support includes resume, LinkedIn, communication, and mock interview guidance. On completion, you receive a course certificate and placement assistance as per program terms.

Upcoming batches

Find the Right Batch for Your Learning Journey

Start learning at a time that works best for you. Explore our upcoming morning and evening batches.

StartsScheduleSeats
Nov 16Monday Morning 2
11:30 AM to 1:00 PM		 6 of 50 filledStarts today Reserve seat
Nov 16Monday Evening 2
6:30 PM to 8:00 PM		 3 of 50 filledStarts today Reserve seat
Nov 30Monday Morning 1
9:30 AM to 11:00 AM		 Enrolment open Reserve seat
Nov 30Monday Evening 1
4:30 PM to 6:00 PM		 1 of 50 filled Reserve seat

Who Should Take This Course

Is This Course Right for You

Complete Beginners

Start with the basics of ETL testing with no prior testing experience required. Learn step by step and build confidence in SQL, data validation, and testing concepts.

Level Up as a Developer

Learn how to apply Python, SQL, PySpark, and test automation to data pipelines and turn your development skills into practical ETL testing expertise.

Career Switchers

Build practical ETL testing and data engineering skills that can help you move from your current technical role toward data testing and quality engineering.

Anyone Ready to Learn ETL Testing

Learn through real-world ETL testing projects, data validation tasks, and automation practices while building skills you can apply to modern data pipelines.

Curriculum

ETL Testing Training in Anna Nagar Curriculum

Build job-ready ETL Testing skills across SQL, source-to-target validation, data quality, PySpark, Python, PyTest, and cloud data testing. Learn through hands-on projects and build practical testing frameworks for real-world data pipelines.

PHASE 1 · DATA WAREHOUSING & ETL TESTING FOUNDATIONS

01 Data Warehousing and ETL Fundamentals Understand data architecture, data movement, and the fundamentals of ETL testing.
  • OLTP vs. OLAP Systems and Their Testing Requirements
  • Dimensional Modeling: Star Schema, Snowflake Schema, Fact Tables, and Dimension Tables
  • Modern Data Architecture: Data Lakes, Data Warehouses, and Lakehouses
  • Medallion Architecture: Bronze, Silver, and Gold Layers
  • ETL vs. ELT: Data Flow and Testing Checkpoints
  • End-to-End Data Flow Mapping and Identification of Critical Testing Points

Beginner → Intermediate Build: Map end-to-end ETL data flows and identify critical checkpoints for testing.

02 Advanced SQL for ETL Testing Develop SQL skills to validate, compare, and reconcile data across databases.
  • Advanced Joins, Subqueries, and Correlated Subqueries
  • Window Functions: ROW_NUMBER, RANK, LEAD, and LAG
  • Common Table Expressions (CTEs) for Complex Test Queries
  • Data Reconciliation Using EXCEPT, MINUS, INTERSECT, and UNION
  • Source-to-Target Data Comparison and Mismatch Detection
  • Dynamic SQL Queries for Validating Large Datasets

Intermediate → Advanced Build: Write advanced SQL queries for reconciliation and mismatch detection across large datasets.

03 Python for Data Validation and Scripting Build Python programming skills for data validation and testing automation.
  • Python Fundamentals: Data Types, Loops, Functions, and Exception Handling
  • Data Manipulation Using Pandas
  • Reading and Processing CSV and JSON Files
  • Filtering, Merging, and Comparing DataFrames
  • Developing Python Scripts for Flat-File Validation
  • Connecting Python to Databases Using SQLAlchemy and psycopg2
  • Logging and Exception Handling in Python-Based Data Validation Scripts

Intermediate Build: Automate data validation workflows using Python, Pandas, and database connectivity.

PHASE 2 · ETL TESTING LIFECYCLE & VALIDATION

04 ETL Testing Lifecycle and Documentation Learn the testing processes, documentation standards, and defect management practices used in QA teams.
  • Understanding Business Requirement Documents (BRD)
  • Source-to-Target Mapping (STM) and Data Mapping Specifications
  • Preparing ETL Test Plans and Test Strategies
  • Designing Positive, Negative, and Boundary Test Cases
  • Defect Lifecycle Management Using Jira

Intermediate Build: Create ETL test plans, design test cases, and manage defects with Jira.

05 Core Data Validation Techniques Perform essential data validation checks to ensure data accuracy, completeness, and integrity.
  • Metadata Testing: Table Structures, Data Types, Lengths, and Constraints
  • Primary Key, Foreign Key, and NULL Value Validation
  • Data Completeness and Record Count Reconciliation
  • Source, Staging, and Target Data Validation
  • Data Transformation Testing: Business Rules, Calculations, and Aggregations
  • Data Quality Checks: Duplicates, Truncation, and Invalid Formats

Intermediate → Advanced Build: Perform reconciliation, transformation rule testing, and data quality checks across ETL layers.

06 Advanced ETL Testing Scenarios Handle complex data processing scenarios commonly encountered in enterprise testing projects.
  • Slowly Changing Dimensions (SCD): Types 1, 2, and 3
  • Effective Dates, Expiry Dates, and Current Flag Validation
  • Incremental and Delta Load Testing
  • Watermark Logic, Merge/Upsert Operations, and Late-Arriving Data
  • Data Migration Testing: Legacy-to-Cloud Validation

Advanced Build: Validate SCD history, incremental loads, and migration scenarios in enterprise pipelines.

PHASE 3 · CLOUD, BIG DATA & AUTOMATION FRAMEWORKS

07 Cloud Data Platform Testing Gain practical experience validating data stored and processed on cloud platforms.
  • Cloud Storage Validation Using Azure Data Lake Storage Gen2 (ADLS Gen2) and Amazon S3
  • File Format Validation: Parquet, Delta, JSON, and CSV
  • Snowflake Testing: Query Validation, Micro-Partitions, and Time Travel
  • Azure Synapse Analytics: Data Loading and Warehouse Validation
  • AWS Redshift: Query Execution and Target Data Validation

Advanced Build: Validate cloud data pipelines across ADLS, S3, Snowflake, Synapse, and Redshift.

08 Big Data and PySpark Testing Fundamentals Understand how to validate distributed data processing and big data transformations.
  • Databricks Workspaces and Notebook Environments
  • PySpark DataFrame Operations: Select, Filter, GroupBy, and Join
  • Validating PySpark Transformations and Aggregations
  • Delta Lake Testing: ACID Transactions and Schema Evolution
  • Time Travel for Historical Data Validation
  • Writing PySpark Assertions for Data Quality Checks

Advanced Build: Validate distributed transformations and Delta Lake operations using PySpark assertions.

09 ETL Test Automation Frameworks Develop reusable automated tests to reduce manual validation effort and improve consistency.
  • Introduction to Data Test Automation and Automation Strategy
  • Building a Reusable Data Validation Framework Using Python and pytest
  • Parameterized Test Cases, Fixtures, and Test Data Management
  • Working with YAML and JSON Test Configuration Files
  • Generating HTML Test Reports Using pytest-html
  • Reusable Assertions and Automated Source-to-Target Validation

Expert Build: Create a reusable pytest-based framework with automated reconciliation and reporting.

PHASE 4 · DATA QUALITY, CI/CD & CAPSTONE

10 Modern Data Quality and Observability Tools Use modern tools to define data quality rules, validate datasets, and monitor data health.
  • Great Expectations (GX): Defining Expectations and Validating Data
  • Generating Data Docs and Reviewing Validation Results
  • dbt Testing: Generic and Singular Data Tests
  • Data Observability Fundamentals and Monitoring
  • Five Pillars of Data Health: Freshness, Volume, Distribution, Schema, and Lineage
  • Investigating Data Quality Failures and Validation Alerts

Advanced Build: Implement GX and dbt tests, monitor data health, and investigate validation alerts.

11 CI/CD Integration for Data Testing (DataOps) Integrate automated data testing into development and deployment workflows.
  • Git and GitHub: Version Control, Branching, and Pull Requests
  • Automating Data Tests Using GitHub Actions or Jenkins
  • Configuring CI Pipeline Checks for Data Validation
  • Pre-Commit Hooks and Automated Test Execution
  • Preventing Deployments When Required Validation Tests Fail
  • Automated Notifications Through Slack or Email

Expert Build: Integrate automated data validation into CI/CD pipelines with GitHub Actions or Jenkins.

12 Capstone Projects, Portfolio, and Interview Preparation Apply ETL testing skills through practical projects and prepare for technical interviews.
  • End-to-End Retail ETL Validation
  • Automated Data Quality Framework
  • SCD Type 2 and Incremental Load Testing Test
  • Career and Interview Preparation
  • Prepare an ATS-friendly ETL Testing Resume
  • Build and Organize a GitHub Project Portfolio

Capstone Build: Deliver enterprise ETL validation projects, optimize your GitHub portfolio, and prepare for interviews.

Toolset

Tools & Technologies Covered in Our ETL Testing Course

Python
PySpark
Jenkins
PyTest
Git

Projects

What You’ll Build with ETL Testing Training in Anna Nagar

You’ll build working projects from the ground up, apply the concepts you learn, and add each completed project to your GitHub portfolio.

Project 1

Data Quality Monitoring and Alerting

Build an automated data quality framework using Python and Great Expectations to identify missing values, incorrect sales data, and duplicate records. Generate HTML reports and configure Slack alerts to notify the team when validation fails. Use GitHub Actions to run tests automatically.

Project 2

SCD Type 2 and Historical Data Testing

Work with Databricks and Delta Lake to test how customer information changes over time while preserving historical records. Validate current-record flags, effective dates, and expired records using SQL queries and PySpark. Use Delta Lake Time Travel to compare historical data.

Project 3

Legacy-to-Cloud Data Migration Testing

Test data migration from SQL Server to Snowflake by comparing source and target records to identify missing or incorrect data. Use Python scripts and hash-based comparisons to validate data consistency and detect issues such as extra spaces and timezone differences.

Project 4

Banking Transaction and Financial

Test banking transactions by checking account balances, transaction records, and financial calculations against ledger data. Use advanced SQL queries and PyTest automation to identify duplicate transactions, incorrect amounts, and balance mismatches. Apply data quality rules to verify financial accuracy.

Project 5

End-to-End Retail Sales ETL Testing

Test a retail sales pipeline from raw data files to final business reports across the Bronze, Silver, and Gold layers. Use SQL and PySpark to validate data cleansing, sales calculations, record counts, and revenue totals at each stage. Track defects using Jira and verify that the final data is accurate and ready for business reporting.

Certification

ETL Testing Course Certification

  • Verified Certificate

    Unique certificate ID that can be used to verify your credentials.

  • Shareable Credential

    Add your certificate to LinkedIn, your resume, or professional portfolio.

  • Based on Course Completion

    Earn your certificate after completing the required learning and project requirements.

Placement

ETL Testing Training Placement Assistance

ETL Testing Training Placement support continues even after your learning modules are complete, helping you strengthen your resume, present your projects, prepare for interviews, and pursue relevant job opportunities.

500+Trained
100%Placed
120+Projects built
Talk to a placement counsellor

Your road to the offer

  1. 1

    Resume built around your projects

    Rewritten around the work in your portfolio, not a generic template.

  2. 2

    Mock interviews with working mentors

    The technical and HR questions you will actually be asked, rehearsed until they are easy.

  3. 3

    Referrals to our hiring partners

    Your portfolio goes in front of companies hiring for these roles.

  4. 4

    Offer in hand? We stay until you join

    Negotiation guidance and joining support.

  5. Hired

Skills You’ll Gain from ETL Testing Training in Anna Nagar

By the end, you can do this

  • Create and execute ETL test cases to verify whether data is extracted, transformed, and loaded correctly.
  • Write SQL queries using joins and aggregate functions to validate data across source and databases.
  • Compare source and target data to identify missing records, incorrect values, and data mismatches.
  • Test data transformation logic to ensure business rules and calculations produce the expected results.
  • Identify duplicate records, missing values, invalid data, and other data quality issues.
  • Test ETL jobs and workflows to verify successful data loading and investigate processing failures.
  • Validate data warehouse tables to ensure data is accurate and ready for reporting and analysis.
  • Automate repetitive data validation tasks using the tools and techniques covered in the course.
  • Prepare test reports, document data defects, and track issues until they are resolved.
  • Complete a practical ETL testing project involving data pipeline testing, and source-to-target data comparison.

Job roles & salary

Where this takes you

Learn practical skills and explore job roles that match your interests. Discover salary opportunities and take your first step toward a successful tech career.

ETL Test Engineer

Validate ETL pipelines, source-to-target mappings, transformations, and data quality using SQL and testing tools.

Data Quality Engineer

Build data validation and quality checks to identify missing, duplicate, inconsistent, and inaccurate data across pipelines.

ETL Automation Tester

Automate data testing using Python, PyTest, SQL, and modern data-quality frameworks for reliable pipeline validation.

RoleFresher (0–2 yrs)Mid (2–5 yrs)Senior (5+ yrs)
ETL Test Engineer₹4–7 LPA₹7–12 LPA₹12–18+ LPA
Data Quality Engineer₹5–8 LPA₹8–14 LPA₹14–22+ LPA
ETL Automation Tester₹5–8 LPA₹8–15 LPA₹15–24+ LPA

Video stories

Hear it from our learners

Real learners on what changed for them after Intellea.

HariFrom a career gap to practical learning
Muruga VigneshFrom zero coding to an IT internship
JohnsonFrom aspiring IT professional to intern
Fiona & RionaTwin sisters who chose Intellea for AI
VijayFrom confused fresher to a 9 LPA placement
SwethaFrom engineering graduate to IT professional
GunaleshFrom ECE graduate to IT professional

Learner stories

In their own words

Harish

★★★★★

The course is simple to follow and matches exactly what companies look for. The mentors guide you through every single step patiently.

Google review

Oviiyaa Chandrasekar

★★★★★

The internship support here is the real deal. You get to work on practical tasks that help you understand how IT companies actually operate.

Google review

Kanagapriya

★★★★★

A fantastic starting point for college graduates near Karapakkam. They turn confusing coding theories into simple logic anyone can understand.

Google review

Harikrishnan K

★★★★★

Learning at intellea IT company internship is exceeded my expectations and feels too confidence. The experienced trainers explained every topic with practical examples and industry insights. The AI-powered learning portal made it easy to revise concepts and practice anytime. The real-time projects improved my technical skills, problem-solving ability, and confidence. I highly recommend intellea to anyone looking for a software training institute in Chennai.

Google review

Mehshan Khan

★★★★★

I enrolled at INTELLEA to gain practical IT skills. The placement support, resume guidance, and mock interviews prepared me well for job opportunities. The real-time projects improved my technical skills, problem-solving ability, and confidence. The experienced trainers explained every topic with practical examples and industry insights. If you want practical learning and industry-ready skills, INTELLEA is an excellent choice.

Google review

Lamia Luqman

★★★★★

My friend referred me to this course, and It completely changed my Skills. The trainers are people with experience from Fidelity and Amazon.

Google review

Abu Baker

★★★★★

The internship certificate and real-world project validation gave a massive boost to my otherwise empty resume.

Google review

Read more learner stories →

Proudly placed

Our learners, now at leading companies

Recent Intellea learners and the offers they earned.

  • Ayesha Fathima, ETL Tester, placed at Amazon (14 LPA)
  • Rohit S, ETL Testing, placed at Tata Elxsi (26 LPA)
  • Harish Kumar R, ETL Testing, placed at Zoho (7.2 LPA)

FAQ

Common Questions About the ETL Testing Course in Anna Nagar

Why should I choose Intellea for ETL Testing Training in Anna Nagar?

Intellea offers hands-on, industry-relevant ETL Testing training with real-world projects and expert mentors. We provide 100% placement support, ensuring you master SQL, PySpark, and test automation for top tech companies.

How much does the ETL Testing course cost?

The course fee varies based on the selected training mode, batch schedule, and available EMI options. Please contact our course advisor at +91 74488 48481 for the latest fee structure and customized enrollment details.

Who is my ETL Testing trainer, and how are they selected?

Our trainers are industry experts with proven experience at top tech firms, selected for their technical expertise and teaching ability. They provide patient, step-by-step guidance through practical examples and real-world data testing scenarios.

What are the training modes available for the ETL Testing course?

Intellea offers flexible training modes, including offline classroom sessions in Anna Nagar/OMR and live online instructor-led batches. Contact our advisor to check the currently available weekday or weekend schedules that best fit your routine.

What real-world projects are included in the ETL Testing course?

You will build a strong portfolio with projects like Retail Sales ETL Pipeline Validation, Incremental Load & SCD Testing, and Automated Data Quality Frameworks. These hands-on projects simulate real industry scenarios, covering source-to-target mapping, data reconciliation, and CI/CD automation.

What is the duration of the ETL Testing course?

The course is comprehensively structured across multiple phases, from Python/SQL foundations to advanced cloud data testing. For the exact duration and upcoming batch timings (e.g., morning or evening slots), please connect with our course advisor.

What if I miss an ETL Testing training session?

If you miss a live session, you can easily catch up using the provided session recordings, comprehensive notes, and code templates. Our mentors and support team are also readily available to clarify any doubts and ensure you stay on track.

Does Intellea provide placement assistance after completing the ETL Testing course?

Yes, we provide dedicated placement assistance, including resume building, mock interviews, and direct referrals to our hiring partners. Our support continues until you secure an offer, with alumni successfully placed in companies like Infosys, Wipro, and Citi.

Is the ETL Testing certification worth it?

Absolutely, our verified, shareable certification validates your practical skills in SQL, data validation, and ETL automation to potential employers. When combined with our hands-on projects, it significantly strengthens your resume for ETL Test Engineer and Data Quality roles.

How can I contact the Intellea course advisor?

You can reach our course advisor directly via call or WhatsApp at +91 74488 48481. Alternatively, you can email us at info@intelleatech.com or book a free counseling session on our official website.

Keep exploring

More career-focused tracks

See all 6 courses
👋 Let's talk

Not sure where to start?

Talk to a counsellor about the right course, batch timings, fees, projects and placement support.