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

Intellea
+91 74488 48481

ETL Testing Training in Perungudi

  • Explore a Complete Learning Path for ETL and Data Warehouse Testing.
  • Choose Flexible Batch Timings That Fit Your Daily Schedule.
  • Build Practical ETL Testing Skills Through Real-World Data Projects.
  • Prepare for Testing Interviews with Career Guidance 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
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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.

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About this course

What You’ll Learn in the ETL Testing Course in Perungudi

Our ETL Testing Course in Perungudi is crafted for students, freshers, working professionals, and beginners eager to develop hands-on data testing expertise. The program guides you from core ETL concepts to real-world testing practices, covering SQL validation, PySpark, Python, and test automation. With live instructor-led sessions, you’ll grasp ideas clearly while applying them to authentic data scenarios. You’ll tackle practical projects, assignments, and testing exercises with mentor support whenever challenges arise. Comprehensive resources including notes, code samples, templates, and session recordings are provided for easy revision. Our career support covers resume building, LinkedIn optimization, communication skills, and mock interview preparation. Upon completion, you’ll earn a course certificate along with placement assistance as per the program guidelines.

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 Perungudi 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 01 · MODERN ETL/ELT ARCHITECTURE

01 Modern ETL/ELT Architecture & Testing Fundamentals Master the core concepts of data architecture, ingestion strategies, and foundational testing principles.
  • Data Warehouse vs. Data Lake vs. Data Lakehouse
  • Medallion Architecture: Bronze, Silver, and Gold Layers
  • ETL vs. ELT and Their Testing Differences
  • Data Ingestion: Full Load, Incremental Load, and Change Data Capture (CDC)
  • Watermark Validation
  • Data Contracts: Schema and Data Quality Rules
  • File Format Validation: Parquet, Avro, JSON, Delta Lake, and Apache Iceberg

Beginner → Intermediate Build: Design a Medallion Architecture schema with defined data contracts.

02 Advanced SQL for Data Validation Utilize advanced SQL techniques to perform rigorous source-to-target reconciliation and performance tuning.
  • Source-to-Target Data Reconciliation
  • Data Comparison Using EXCEPT, INTERSECT, and MINUS
  • Hash and Checksum Validation
  • Window Functions: ROW_NUMBER(), RANK(), LEAD(), and LAG()
  • Duplicate Detection and SCD History Validation
  • CTEs, Recursive Queries, and Complex Joins
  • Business Rule and Transformation Validation
  • Query Execution Plans, Partitioning, and Performance Optimization

Intermediate → Advanced Build: Create a comprehensive SQL validation suite for SCD Type 2 history.

03 Cloud Data Platforms & Environment Testing Validate data integrity and pipeline execution across major cloud platforms like Snowflake, Databricks, and Azure.
  • Snowflake Testing: Zero-Copy Cloning, Time Travel, and Fail-safe
  • Databricks and Delta Lake Testing
  • Schema Enforcement, Schema Evolution, and ACID Properties
  • Cloud Storage Validation: AWS S3, Azure ADLS Gen2, and Google Cloud Storage
  • Data Integrity and Partition Validation
  • Apache Airflow DAG Validation
  • Azure Data Factory (ADF) Pipeline Testing

Advanced Build: Execute a cross-platform validation test using Snowflake Time Travel and Databricks Delta logs.

PHASE 02 · CORE STRATEGIES & AUTOMATION

04 Core ETL Testing Strategies & Scenarios Master essential testing scenarios including schema validation, data quality checks, and compliance standards.
  • Schema and Metadata Validation: Data Types, Lengths, Precision, Scale, and Nullability
  • Data Quality Checks: Completeness, Accuracy, Consistency, Uniqueness, Validity, and Timeliness
  • Transformation Testing: Business Rules, Calculations, Lookups, and Aggregations
  • Source-to-Target Mapping Validation
  • Slowly Changing Dimensions (SCD): Types 1, 2, and 3
  • Data Privacy Testing: PII Masking and Tokenization
  • GDPR and CCPA Compliance Fundamentals

Intermediate Build: Create a comprehensive test plan for SCD Type 2 and PII masking validation.

05 Python & PySpark for Data Testers Leverage Python and PySpark to perform distributed data processing and automated source-to-target comparisons.
  • Python-Based Data Validation Using Pandas
  • Database Connectivity Using SQLAlchemy
  • Comparing Expected and Actual Results
  • PySpark DataFrames and Distributed Data Processing
  • Joins, Aggregations, Null Handling, and Duplicate Detection
  • Nested JSON, Arrays, and Complex Data Types
  • Schema Drift Detection
  • Source-to-Target Data Comparison Using Python
  • Automated Mismatch Reports

Intermediate → Advanced Build: Develop a PySpark script for automated mismatch reporting and schema drift detection.

06 ETL Test Automation Frameworks Build robust, configuration-driven automation frameworks using PyTest and generate detailed visual reports.
  • PyTest Fundamentals: Fixtures, Markers, and Assertions
  • Parameterized Testing for Multiple Tables
  • Building a Reusable Python/PySpark Testing Framework
  • Configuration-Driven Testing Using YAML and JSON
  • Database Assertion Libraries and Custom SQL Validation
  • Automated Test Execution and Logging
  • HTML, Allure, and Extent Test Reports
  • Pass/Fail Results and Data Mismatch Reporting

Advanced Build: Deploy a reusable PyTest framework with Allure reporting and YAML-based configuration.

PHASE 03 · QUALITY, OPS & ADVANCED TESTING

07 Data Quality & Data Observability Implement modern data quality frameworks and observability tools to ensure reliability and trust in your data.
  • Data Quality Rules and Validation Metrics
  • Great Expectations: Data Validation and Automated Data Docs
  • dbt Testing: unique, not_null, relationships, and accepted_values
  • Soda Core for Data Quality Monitoring
  • Amazon Deequ for Large-Scale Data Validation
  • Data Freshness and Volume Monitoring
  • Anomaly Detection and Data Lineage
  • Introduction to Monte Carlo and Datadog
  • Automated Data Quality Monitoring and Alerting

Advanced Build: Deploy a Great Expectations suite with automated Data Docs and anomaly alerts.

08 DataOps & CI/CD for Data Testers Integrate testing into DevOps workflows using Git, CI/CD pipelines, and shift-left testing strategies.
  • Git and GitHub Fundamentals
  • Branching, Pull Requests, and Code Reviews
  • CI/CD Pipelines Using GitHub Actions and Jenkins
  • Automated Data Quality Gates
  • Running ETL Tests During Code Changes and Deployment
  • Shift-Left Testing at the API and Ingestion Layers
  • Pipeline Failure Alerts Through Email, Slack, and Microsoft Teams

Advanced Build: Configure a GitHub Actions pipeline that runs ETL tests and sends Slack alerts on failure.

09 Advanced & Edge-Case Testing Tackle complex scenarios including streaming data, API validation, performance bottlenecks, and cross-system reconciliation.
  • Streaming Data Testing Using Kafka and Amazon Kinesis
  • Micro-batch Validation and Late-Arriving Data
  • Idempotency and Duplicate Event Testing
  • API Testing Using Postman and Python Requests
  • JSON Payload and Status Code Validation
  • Volume, Load, and Performance Testing
  • Pipeline Bottleneck and Timeout Analysis
  • Cross-System Reconciliation: Salesforce, Snowflake, and Power BI

Expert Build: Perform end-to-end reconciliation across Salesforce, Snowflake, and Power BI with performance tuning.

Toolset

Tools & Technologies Covered in Our ETL Testing Course

Informatica
PyTest
Jenkins
Apache Airflow
Amazon Deequ

Projects

What You’ll Build with ETL Testing Training in Perungudi

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

Cloud Data Migration Testing

How to test data when a company moves from a traditional database to Snowflake or Databricks. You are develop SQL and Python scripts to check data accuracy, schema changes, historical records, and security. Create a migration report that highlights data mismatches and errors.

Project 2

Data Lakehouse & Big Data Testing

Work with large datasets using PySpark and test how data moves through the Bronze, Silver, and Gold layers. You Will Build validation checks to identify missing records, duplicates, and transformation errors. Create an automated comparison tool to check data quality at each stage.

Project 3

Automated Data Quality Pipeline

Develop data quality checks using Great Expectations, dbt, and PyTest to identify common data issues. You will Build an automated testing pipeline with GitHub Actions to run checks and notify the team when something goes wrong. Create reports that show test results.

Project 4

API & Real-Time Data Testing

How to validate data received from APIs using Postman and Python. Build tests to check Kafka messages, real-time data processing, and data flow through the pipeline. You Create an end-to-end testing solution to ensure data reaches its destination correctly.

Project 5

Cross-System Testing

Test how data pipelines perform when handling large volumes of data. Develop SQL checks to compare warehouse data with reports in Power BI or Tableau and identify mismatches. Create a performance report highlighting bottlenecks, data inconsistencies, and areas for improvement.

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 Perungudi

By the end, you can do this

  • Master ETL testing fundamentals, including testing types, test plans, test cases, and defect management.
  • Perform source-to-target validation to identify missing, duplicate, incorrect, and mismatched records.
  • Use SQL queries, joins, aggregations, CTEs, and window functions for effective data validation.
  • Validate data quality, including completeness, accuracy, consistency, uniqueness, and data types.
  • Test ETL transformation logic, data mappings, calculations, and business rules across data pipelines.
  • Work with cloud data platforms such as Azure, ADLS Gen2, and Databricks for ETL testing.
  • Perform SCD and incremental load testing, including historical data and late-arriving data validation.
  • Automate ETL tests using Python, PyTest, and reusable SQL validation checks.
  • Implement modern data quality testing using Great Expectations and GitHub Actions.
  • Build job-ready ETL testing experience through real-world data validation, migration, and automation.

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 Perungudi

Why should I choose Intellea for ETL Testing Training in Perungudi?

Intellea offers job-ready, hands-on ETL Testing training in Perungudi using industry tools like SQL, PySpark, and Python. You receive 1:1 mentor guidance, flexible batches, and dedicated placement support until you are hired.

How much does the ETL Testing course cost?

The exact course fee varies based on the selected training mode, batch schedule, and any ongoing offers. For precise pricing and EMI options, please contact the course advisor directly at +91 7448848481

Who will train me in ETL Testing, and how do you select trainers?

You will be trained by industry-experienced mentors who have worked in top tech companies and possess strong technical expertise. Trainers are carefully selected based on their ability to deliver practical, real-world testing scenarios and guide participants effectively.

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

Intellea offers flexible training modes, including weekday and weekend cohorts, with both classroom training in Perungudi and live online sessions. You can choose the batch that best fits your schedule.

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

The course includes hands-on projects such as Retail Sales ETL Pipeline Validation, Incremental Load and SCD Testing, and Automated Data Quality Frameworks. You will also work on Data Migration Testing projects and gain practical experience with real-world ETL testing scenarios.

What is the duration of the ETL Testing course?

The duration depends on the specific batch schedule and training mode you select, such as morning or evening cohorts. For exact duration and upcoming batch start dates, contact the course advisor at +91 7448848481

What if I miss an ETL Testing training session?

If you miss a session, you can easily catch up using available session recordings, course notes, and code templates provided for revision. You can also connect directly with the training team or your mentor for guidance on the missed topics.

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

Yes, Intellea provides 100% placement support until you are hired, as per the program terms. This comprehensive assistance includes resume building, mock interviews with working mentors, and direct referrals to hiring partners.

Is ETL Testing certification worth it?

Yes, the Intellea Certified ETL Testing credential validates your practical skills in SQL, data validation, and test automation. It is a shareable, verified certificate that significantly strengthens your resume and LinkedIn profile for data quality roles.

How can I contact the Intellea course advisor for ETL Testing Training in Perungudi?

You can contact the course advisor directly by calling or WhatsApping +91 7448848481 for fees, batches, and enrollment details. Alternatively, you can email your queries to info@intelleatech.com or book a free counseling session on the website.

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