Radical Technologies
SOFTWARE TESTING
★★★★★
(2,095 ratings)  50,000+ Student

ETL TESTING USING PYTHON

The ETL Testing using Python Syllabus focuses on validating data extraction, transformation, and loading processes using Python-based testing techniques. It covers data validation, database testing, automation scripts, data quality checks, and handling large datasets in real-world scenarios. This training explains how Python is used to automate ETL testing and ensure data accuracy across systems. It is important because reliable data is critical for analytics, reporting, and business decisions. It is ideal for QA testers, data engineers, ETL developers, and professionals working in data warehousing and analytics projects.

RT
Radical Technologies
50,000+ English 40 hours Weekdays / Weekends Classroom / Online / Corporate
Online / Classroom

ETL TESTING USING PYTHON

IT Training Programme

Duration 40 hours
Batch Type Weekdays / Weekends
Mode of Training Classroom / Online / Corporate
Locations Pune, Bangalore, Kochi
Language English
Certification Globally Recognized
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What you'll learn

Understand core concepts and architecture from the ground up
Get hands-on with the tools used by working professionals
Build real-world projects you can add to your portfolio
Learn industry best practices and coding standards
Practice with real datasets and real-world scenarios
Prepare for certification and technical interviews
Work on collaborative, team-based exercises
Apply performance tuning and optimization techniques
Understand how the technology fits into a larger ecosystem
Complete assignments reviewed by mentors

Programme Overview

15 sections covering the complete curriculum — a single, progressive learning arc.

40 hours
Training Duration
15
Core Modules
96
Total Lessons
4.8★
Average Rating
50K+
Students Trained
01

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup
02

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs
03

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies
04

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices
05

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms
06

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a SOFTWARE TESTING role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

15 sections  •  96 lessons  •  40 hours

01 Module 1 – Introduction to ETL & Data Warehousing

Topics

• ETL concepts (Extract, Transform, Load)
• Data warehouse architecture
• OLTP vs OLAP
• Data marts
• ETL testing lifecycle

Lab

• Understand ETL workflow with sample dataset

Assignment

  • ›• Identify ETL test cases for sales data pipeline
02 Module 2 – Basics of Software Testing

Topics

• Testing types (functional, regression, integration)
• Test case design techniques
• Defect lifecycle
• Agile testing concepts

Assignment

  • ›• Write test cases for ETL data validation
03 Module 3 – SQL for ETL Testing (Core Module)

Topics

• SQL queries (SELECT, JOIN, GROUP BY)
• Data comparison queries
• Aggregate validation
• Data integrity checks
• Stored procedures

Lab

• Validate source vs target data

Assignment

  • ›• Write SQL queries for data validation

Scenario

  • ›• Validate data migration from legacy system to warehouse
04 Module 4 – Python Fundamentals for Testing

Topics

• Python basics (variables, loops, functions)
• File handling
• Exception handling
• Working with CSV, JSON

Lab

• Build Python scripts for data validation

Assignment

  • ›• Compare two datasets using Python
05 Module 5 – Python for ETL Testing

Topics

• Data validation using Python
• Automating ETL test cases
• Data comparison scripts
• Logging and reporting

Libraries

• pandas
• numpy

Lab

• Automate data comparison

Assignment

  • ›• Build ETL validation framework using Python
06 Module 6 – ETL Tools Overview

Topics

• Integration patterns
• ETL vs API-based integration
• Platform events
• Change Data Capture (CDC)

Tools

• MuleSoft

Lab

• Build event-driven integration

Enterprise Case Study

• Real-time data sync between ERP and Salesforce
07 Module 7 – Data Validation Techniques

Topics

• Row count validation
• Data completeness
• Data transformation validation
• Duplicate checks
• Null validation

Lab

• Perform full ETL validation cycle
08 Module 8 – Automation Framework for ETL Testing

Topics

• Test automation framework design
• Data-driven testing
• Logging and reporting
• Scheduling ETL tests

Tools

• pytest

Lab

• Build ETL automation framework
09 Module 9 – API Testing for ETL

Topics

• REST API testing
• JSON validation
• API data verification

Tools

• Postman

Lab

• Validate API data before ETL process
10 Module 10 – Big Data ETL Testing

Topics

• Hadoop ecosystem
• Spark basics
• Data validation in big data

Tools

• Apache Spark

Scenario

  • ›• Validate large-scale data pipelines
11 Module 11 – CI/CD for ETL Testing

Topics

• Continuous testing
• Integration with CI/CD pipeline

Tools

• Jenkins

Lab

• Integrate ETL tests with CI/CD
12 🚀 Capstone Projects

🔹 Project 1 – ETL Data Validation Framework

Features

• Compare source vs target data
• Automated validation scripts
• Logging and reporting

Tools

• Python, Pandas, SQL

🔹 Project 2 – Data Migration Testing

Features

• Validate data migration
• Data consistency checks
• Error reporting

Scenario

  • ›• Legacy system → Data warehouse migration

🔹 Project 3 – Automated ETL Testing Pipeline

Features

• CI/CD integrated testing
• Automated ETL validation
• Scheduled test execution

Tools

• Python, Jenkins
13 📊 Job-Oriented Scenarios
1. Validate ETL data between source and target systems
2. Automate data validation using Python
3. Troubleshoot ETL job failures
4. Perform regression testing for ETL pipelines
5. Validate large datasets in production
6. Integrate ETL tests into CI/CD pipeline
14 💼 Career Roles
• ETL Tester
• Data QA Engineer
• Data Analyst (Testing side)
• Data Engineer (Entry-level)
• Automation Tester (Data domain)
15 ✅ Final Outcome
After this training, learners will be able to:
✔ Validate ETL pipelines
✔ Write SQL for data validation
✔ Automate testing using Python
✔ Work with ETL tools and frameworks
✔ Handle real-time data testing scenarios

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

96+
Hands-On Lessons
15
Core Modules
40 hours
Training Duration
100%
Practical Training

You don't just learn ETL TESTING USING PYTHON. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

→Requirement Analysis

→Guided Implementation

→Mentor Review

→Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief
Step-by-step implementation
Mentor feedback and review
Documented outcome
Stack Core Concepts Best Practices
PROJECT // 02

Applied Practice Project

→Scenario Design

→Independent Build

→Testing & Validation

→Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation
Testing and validation
Documentation
Peer/mentor review
Stack Applied Skills Testing
PROJECT // 03

Capstone Project

→Planning

→End-to-End Build

→Review & Refinement

→Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution
Presentation-ready documentation
Mentor sign-off
Portfolio-ready deliverable
Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training
  • Highly practical oriented training
  • Installation support on your system
  • 24/7 Email and Phone support
  • 100% Placement Assistance
  • Global Certification Preparation
  • Trainer-Student Interactive Portal
  • Assignments and Projects by Mentors
Live Classroom Training
  • Weekend / Weekdays / Morning / Evening batches
  • 80:20 Practical and Theory ratio
  • Real-life Case Studies
  • Easy make-up for missed sessions
  • PSI | Kryterion | Redhat Test Centers
  • Lifetime Video Classroom Access (coming soon)
  • Resume Prep and Mock Interviews
Self-Paced Training
  • Learn 300+ courses at your own time
  • 50,000+ Satisfied Learners
  • Course Completion Certificate
  • Practical Labs available
  • Mentor Support available
  • Doubt Clearing Session available
  • 10% Discounted Global Certification

Like the Curriculum? Let's Get Started

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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Certificate of Completion

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.

Career Support

Course Completed? Need next steps?
Need Interview Supports?
Need Job Assistance?
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Join our Brush-up Session & get support until you find a job!

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Radical Learning Eco-System

Exam Simulator

Cloud SandBox

Hands-on Cloud Lab

Developer Coding Ground

Student Reviews

4.8★
Average learner rating
50K+
Students trained
30+
Hiring companies alumni work at
100%
Placement assistance
4.8
★★★★★

Course Rating

★★★★★
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2%
★★☆☆☆
1%
★☆☆☆☆
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ETL TESTING USING PYTHON Interview Questions

10 questions commonly asked in ETL TESTING USING PYTHON interviews.

  1. 01 What are the primary benefits of using Revit MEP in Building Information Modeling (BIM) compared to traditional CAD tools?
  2. 02 Can you explain the workflow for designing an HVAC system in Revit MEP, including load calculations and duct placement?
  3. 03 How do you perform clash detection in Revit MEP, and what steps do you take to resolve detected conflicts?
  4. 04 Describe the process of creating custom parametric components (families) in Revit MEP and provide an example of their practical use.
  5. 05 What tools in Revit MEP are used for energy analysis, and how can they help in designing sustainable building systems?
  6. 06 How do you manage collaboration between mechanical, electrical, and plumbing teams within a Revit MEP project?
  7. 07 What are the best practices for optimizing Revit MEP models to ensure smooth performance, especially in large-scale projects?
  8. 08 How would you use Revit MEP to design and analyze fire protection systems, including sprinkler layouts and pipe routing?
  9. 09 What steps would you take to ensure compliance with local building codes and standards when designing electrical systems in Revit MEP?
  10. 10 Can you explain how schedules and material takeoffs are generated in Revit MEP and their significance in project documentation?

Etl Testing Using Python Course Certification with Training In Pune

Radical Technologies is the leading institute in Bengaluru for comprehensive Revit MEP Training, offering industry-focused courses to help students and professionals excel in the field of Building Information Modeling (BIM). With a proven track record of delivering top-notch training, we are committed to providing unparalleled learning experiences through expert-led sessions and hands-on projects.

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Experienced Trainers: Our instructors are industry experts with years of hands-on experience in Revit MEP and BIM projects.

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Accenture
Amazon
Avisys Services
Birlasoft
Capgemini
Catchpoint
Cognizant
Darwish Cybertech
DataVision
GiBots
Google
Groots Software
HCL Technologies
IBM
Info Gain
Infosys
ITCube Solutions
KPIT
L&T Infotech
Microsoft
Mphasis
mPhatek
Oracle
Quantbit Technologies
Saina Cloud
TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies

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