ETL Testing Automation with Python, Snowflake, dbt & PySpark – Live Training
(ETL Testing, SQL, Python Automation, Snowflake, dbt, PySpark, Airflow, CDC Testing, Data Quality Engineering, Cloud Data Warehouse Validation, Real-Time Projects & Interview Prep)
Master Advanced ETL Testing Automation with industry-demand technologies including SQL, Python, Snowflake, dbt, PySpark, Airflow, and Cloud Data Warehouses. This comprehensive course covers ETL Testing, Data Warehouse Testing, Data Quality Engineering, Big Data Validation, Real-Time Data Pipeline Validation, Incremental & CDC Testing, and ETL Automation using Python. Students will gain hands-on experience in validating enterprise data pipelines, cloud data warehouse migrations, transformation testing, and modern data engineering workflows through real-time projects and practical scenarios.
The program is designed for freshers, manual testers, ETL testers, automation engineers, and data professionals looking to build expertise in modern data testing and cloud-based ETL validation. Learn Snowflake Testing, dbt Transformation Validation, PySpark Data Validation, CI/CD for Data Testing, and Data Quality Monitoring with real-world use cases from e-commerce, telecom, and insurance domains. The course also includes interview preparation, mock interviews, resume building, and project explanations to help students confidently secure ETL Testing, Data Engineering QA, and Data Validation roles in leading companies.
Live Sessions Price:
Offer price after discount is 200 USD 159 89 USD Or USD15000 INR 9900 INR 6900 Rupees.
OR
Sample Videos:
ETL Testing Automation with Python, Snowflake, dbt & PySpark – Demo Video
ETL Testing Automation with Python, Snowflake, dbt & PySpark – Day1 Video
Weekend Batch
Free Demo On:
11th July @ 7:30 PM – 8:30 PM (IST) (Indian Timings)/
11th July @ 10:00 AM –11:00 AM (EST) (U.S Timings)/
11th July @ 3:00 PM – 4:00 PM (BST) (U.K Timings)
Class Schedule:
For Participants in India: Every Saturday & Sunday @ 7:30 PM – 9:30 PM (IST)
For Participants in the US: Every Saturday & Sunday @ 10:00 AM –12:00 PM (EST)
For Participants in the UK: Every Saturday & Sunday @ 3:00 PM – 5:00 PM (BST)
What student’s have to say about Trainer :
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👨Rahith Kumar- The training was very detailed and completely practical-oriented. Before joining this course, I only knew SQL basics, but now I am confident in ETL Validation, Snowflake Testing, dbt transformations, and Python Automation. The interview preparation sessions and mock interviews were extremely useful. 👩Niharika Netha- Excellent course for learning modern ETL Testing and Automation. The Snowflake and dbt concepts were explained with real-time examples and hands-on practice. 👨Jhoseph- The real-time projects included in the course were excellent. We worked on e-commerce and telecom-based data validation scenarios which helped me understand how ETL Testing works in actual projects. The Snowflake and CDC Testing modules were the best part of the training. 👩Jessica-I joined this course to upgrade my career into cloud data testing. The practical exposure on Snowflake, dbt, and ETL Automation using Python gave me a lot of confidence for interviews and real-time projects. 👨 Raj Kumar- This is not just a regular ETL Testing course. It covers modern technologies like Snowflake, dbt, PySpark, Airflow, CI/CD, and Data Quality Engineering which are highly demanded in the current industry. 👩Saritha- I joined this course to upgrade my career into cloud data testing. The practical exposure on Snowflake, dbt, and ETL Automation using Python gave me a lot of confidence for interviews and real-time projects. |
Salient Features:
- 40+ Hours of Live Training along with recorded videos
- 1 Year Access to Videos
- Course Completion Certificate
Who can enroll in this course?
- Manual Testing Professionals looking to transition into ETL/Data Testing
- ETL Testers who want to upgrade to modern cloud technologies
- Automation Testers interested in Data Testing & ETL Automation
- SQL Developers and Database Professionals
- Data Analysts and BI Professionals
- Freshers interested in starting a career in ETL Testing or Data Engineering QA
- Software Engineers looking to learn Snowflake, dbt, and Data Warehouse Testing
- Professionals interested in Cloud Data Warehouses and Big Data Validation
- Anyone looking to build a career in modern Data Quality Engineering and ETL Automation
No prior ETL experience is required. The course starts from fundamentals and gradually moves to advanced real-time industry concepts.
What will I learn by the end of this course?
- Understand ETL Testing concepts, Data Warehousing, and modern data pipeline architecture
- Write advanced SQL queries for ETL Validation and Data Testing
- Perform Source-to-Target Data Validation and Data Reconciliation
- Build ETL Automation frameworks using Python
- Validate Cloud Data Warehouses using Snowflake
- Perform dbt Transformation Testing and Data Quality Validation
- Work with Incremental Load & CDC Testing scenarios
- Validate Real-Time Data Pipelines and Big Data workflows using PySpark
- Test ETL workflows and scheduling using Airflow
- Implement CI/CD for automated ETL Testing pipelines
- Perform Dashboard and Reporting Validation using real-time business scenarios
- Gain hands-on experience through enterprise-level projects from E-commerce, Telecom, and Insurance domains
- Prepare for ETL Testing, Data Engineering QA, and Cloud Data Validation interviews with mock interviews and real-time project discussions
Course syllabus:
1: Basics of Data & ETL Foundations
Topics
- What is Data?
- Types of Data
- Structured vs Unstructured Data
- OLTP vs OLAP
- Data Warehouse Concepts
- ETL vs ELT
- Data Pipeline Architecture
- Source → Staging → Transformation → Warehouse → Reporting Layers
- Real-Time ETL Architecture
- Batch vs Real-Time Processing
- Data Lake vs Data Warehouse
- Introduction to Cloud Data Platforms
Hands-On
- Understanding raw business datasets
- Reading source-to-target mappings
- Identifying data flow in real projects
Module 2: SQL for ETL Testing
Topics
- SQL Fundamentals
- SELECT, WHERE, GROUP BY, HAVING
- JOINS
- UNION / UNION ALL
- Subqueries
- CTEs
- Window Functions
- Aggregate Functions
- Date Functions
- String Functions
- CASE Statements
- Stored Procedures
- Query Optimization Basics
ETL Validation SQL
- Row Count Validation
- Duplicate Validation
- NULL Validation
- Primary Key Validation
- Referential Integrity Validation
- Data Comparison Techniques
- Aggregation Validation
- Transformation Validation
Real-Time Scenarios
- Product pricing validation
- Insurance premium validation
- Telecom billing validation
Hands-On
- Writing 200+ ETL validation queries
- Comparing source and target systems
Module 3: Advanced SQL for Data Warehouse Testing
Topics
- Fact Tables
- Dimension Tables
- Star Schema
- Snowflake Schema
- Slowly Changing Dimensions (SCD)
- SCD Type 1
- SCD Type 2
- Incremental Load Validation
- Surrogate Keys
- Data Mart Validation
- Historical Data Validation
Hands-On
- Testing enterprise warehouse models
- Building reconciliation queries
Module 4: Python for ETL Automation
Topics
- Python Basics
- Variables
- Data Types
- Loops
- Functions
- OOP Concepts
- File Handling
- Exception Handling
- Logging
- Virtual Environments
Libraries
- Pandas
- NumPy
- OpenPyXL
- CSV Handling
Hands-On
- Reading CSV, Excel, JSON
- Automating validations using Python
- Building reusable functions
Module 5: ETL Automation Framework Design
Topics
- Automation Framework Architecture
- Data-Driven Framework
- Config-Based Execution
- Dynamic SQL Execution
- Metadata-Driven Validation
- Reusable Validation Libraries
- Logging Framework
- Error Handling
- Report Generation
Framework Components
- Database Connection Utility
- Validation Engine
- Report Engine
- Query Executor
- Config Reader
Hands-On Project
Students will build a full ETL automation framework from scratch.
Module 6: Snowflake Testing Complete Coverage
Snowflake Fundamentals
- Snowflake Architecture
- Virtual Warehouses
- Databases & Schemas
- Micro-partitions
- Time Travel
- Cloning
- Stages
- File Formats
Snowflake Data Loading
- COPY INTO
- Internal Stage
- External Stage
- Snowpipe
- Data Ingestion Validation
Snowflake ETL Testing
- Source to Snowflake Validation
- Stage Validation
- File Validation
- Data Load Validation
- Transformation Validation
- Warehouse Validation
- Performance Validation
Advanced Snowflake Testing
- Streams & Tasks
- CDC Validation
- Incremental Data Validation
- Snowflake Query Profiling
- Query Performance Analysis
- Data Retention Validation
- Semi-Structured Data Validation (JSON)
Snowflake Security Testing
- Role-Based Access
- Masking Policies
- Row-Level Security
- Data Governance Validation
Hands-On
- Real-time Snowflake project
- Cloud warehouse validation
- Production issue debugging
Module 7: dbt Testing & Transformation Validation
dbt Fundamentals
- What is dbt?
- dbt Architecture
- dbt Workflow
- Models
- Materializations
- Seeds
- Snapshots
- Macros
dbt Transformation Testing
- Source Testing
- Model Testing
- Schema Testing
- Relationship Testing
- Custom Tests
- Freshness Validation
dbt + Snowflake Integration
- Running dbt on Snowflake
- Incremental Models
- Transformation Lineage
- Dependency Graph
Real-Time Validation
- Business Rule Validation
- Data Contract Testing
- End-to-End Transformation Validation
Hands-On
- Build dbt models
- Validate transformations
- Execute automated dbt tests
Module 8: Incremental Load & CDC Testing
Topics
- Full Load vs Incremental Load
- Watermark Logic
- CDC Architecture
- Insert/Update/Delete Validation
- Late Arriving Data
- Historical Data Validation
- SCD Type 2 Validation
Hands-On
- Validate CDC pipelines
- Test incremental logic using SQL & Python
Module 9: PySpark for Big Data Testing
Topics
- Spark Architecture
- DataFrames
- Transformations
- Actions
- Spark SQL
- Partitioning
- Distributed Validation
Hands-On
- Validating billion-record datasets
- Distributed data quality checks
Module 10: Data Quality Engineering
Topics
- Data Profiling
- Data Quality Dimensions
- Accuracy
- Completeness
- Consistency
- Timeliness
- Validity
Great Expectations
- Schema Validation
- Null Checks
- Data Profiling
- Custom Expectations
Hands-On
- Enterprise data quality monitoring
Module 11: Airflow & ETL Pipeline Validation
Topics
- Airflow Basics
- DAGs
- Task Dependencies
- Scheduling
- Monitoring
- Pipeline Failure Validation
Hands-On
- Validate ETL workflows
- Pipeline dependency testing
Module 12: API & File Validation in ETL
Topics
- API Testing Basics
- JSON Validation
- XML Validation
- File-Based ETL Validation
- CSV Validation
- Excel Validation
Hands-On
- Retail product API validation
- File reconciliation automation
Module 13: CI/CD for Data Testing
Topics
- Git Basics
- Jenkins Basics
- Automated ETL Validation in CI/CD
- Deployment Validation
- Smoke Validation
Hands-On
- Running automated ETL test suites in pipelines
Module 14: Reporting & Dashboard Validation
Topics
- Tableau Validation
- Power BI Validation
- KPI Validation
- Aggregation Testing
- Dashboard Reconciliation
Hands-On
- Validate business dashboards against warehouse data
Module 15: Real-Time End-to-End Industry Project
Project 1: E-commerce Data Platform
Business Use Case
Validate pricing and inventory data coming from Amazon, Walmart, Target, and Instacart.
Validation Areas
- Product pricing validation
- SKU matching
- Duplicate checks
- Incremental load validation
- Data freshness checks
- CDC validation
Project 2: Insurance Data Warehouse Migration
Business Use Case
Migration from Oracle/Teradata to Snowflake.
Validation Areas
- Historical data validation
- SCD testing
- Fact & dimension validation
- Regulatory data checks
Project 3: Telecom Billing Platform
Business Use Case
Validate telecom billing pipelines processing millions of records daily.
Validation Areas
- Billing accuracy
- Usage aggregation
- Customer data reconciliation
Interview Preparation Program
Included
- SQL Interview Questions
- Python Coding Questions
- Snowflake Interview Questions
- dbt Interview Questions
- ETL Scenario-Based Questions
- Mock Interviews
- Resume Building
- LinkedIn Optimization
- Real Project Explanation Training
Student Deliverables
Each student receives:
- Complete Notes
- SQL Scripts
- Python Automation Framework
- Snowflake Validation Scripts
- dbt Project
- Real-Time Project Documents
- Interview Question Bank
- Resume Templates
- Certification
How can I enroll for this course?
OR
For any other details, Call me or WhatsApp me on +91- 9133190573
Live Sessions Price:
For LIVE sessions – Offer price after discount is 129 USD 109 89 USD Or USD15000 INR 9900 INR 6900 Rupees.
Sample Course Completion Certificate:
Your course completion certificate looks like this……
Important Note:
To maintain the quality of our training and ensure a smooth learning experience for all participants, we do not allow batch repetition or switching between courses.
To reiterate, moving from one course to another or shifting from one trainer to another (even if it is the same course) is not possible. Changing batches or trainers in any form is strictly not permitted.
We request all learners to attend the scheduled sessions regularly and make the most of their learning journey. Thank you for your understanding and continued support.