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ETL/ELT Pipelines using Azure Data Factory Certification Course

Design & Automate Enterprise-Grade Data Pipelines on Azure

Learn how to design, build, and automate enterprise ETL/ELT pipelines using Azure Data Factory. This hands-on certification program equips data professionals with the practical skills to extract, transform, and load data efficiently across modern cloud data platforms.

Instructor-Led Training

Hands-On Projects

Industry Use Cases

Certification Included

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    Course Overview

    Course Image

    ETL/ELT pipelines are the foundation of modern data platforms, enabling organizations to move and transform data reliably across cloud and on-premises systems.

    In this course, you will learn how to design ETL and ELT workflows, build reusable pipeline patterns, and implement data transformation logic using Azure Data Factory.

    Through practical labs and real-world projects, participants will build production-grade ETL/ELT pipelines using Data Flows, Copy Activities, and pipeline orchestration techniques.

    By the end of this course, learners will be able to design scalable, reusable, and cost-efficient ETL/ELT pipelines for enterprise data platforms.

    Course Distinction

    What makes our course unique?

    Unlock Efficient Data Pipeline Design

    Unlock Efficient Data Pipeline Design

    Master the concepts behind reliable, reusable ETL/ELT pipeline patterns, transforming how organizations process data.

    Expert-Led Industry Training

    Expert-Led Industry Training

    Learn from ETL and data integration practitioners with real-world pipeline design experience.

    Hands-On Learning

    Hands-On Learning

    Build real ETL/ELT pipelines and transformation workflows through guided labs and capstone projects.

    Practical Enterprise Use Cases

    Practical Enterprise Use Cases

    Learn how ETL/ELT pipelines are used across finance, retail, healthcare, and logistics.

    Course Content

    • ETL vs ELT concepts
    • Data pipeline design principles
    • Azure Data Factory architecture
    • Linked services and datasets

    • Copy Activity and data movement
    • Source and sink configurations
    • Schema mapping and data type handling
    • Incremental data loading patterns

    • Mapping Data Flows for transformation
    • Aggregations, joins, and lookups
    • Data cleansing and validation logic
    • Performance tuning for large datasets

    • Control flow activities and dependencies
    • Parameterized and dynamic pipelines
    • Trigger-based and event-driven pipelines
    • Error handling and retry logic

    • Relational and file-based sources
    • REST API and cloud storage integration
    • On-premises to cloud data movement
    • Handling structured and semi-structured data

    • Pipeline monitoring and alerting
    • Cost and performance optimization
    • Logging and auditing pipeline runs
    • Security and access control

    • CI/CD for ADF pipelines
    • Reusable pipeline templates
    • Testing and validation strategies
    • Enterprise deployment best practices

    Capstone Project

    Design and build a complete ETL/ELT pipeline solution using Azure Data Factory that solves a real-world enterprise data integration challenge.

    Key Features

    • arrow Instructor-led interactive sessions
    • arrow Real-world case studies
    • arrow Hands-on pipeline development
    • arrow Hands-on pipeline development
    • arrow Access to Azure learning resources
    • arrow Capstone project

    Skills Covered

    • ETL/ELT Pipeline Design
    • Azure Data Factory
    • Mapping Data Flows
    • Data Transformation & Cleansing
    • Pipeline Orchestration
    • Incremental Data Loading
    • CI/CD for Data Pipelines
    • Cloud Data Integration

    Advancements

    ETL/ELT pipeline design is one of the most in-demand skills in data engineering, with organizations relying on reliable pipelines to power analytics.

    ● ETL Developer ● Data Integration Engineer ● Azure Data Engineer ● Data Pipeline Engineer ● BI Data Engineer

    Professionals skilled in ETL/ELT pipeline development and Azure Data Factory are among the most sought-after roles in data engineering.

    Business Impact

    FAQ?

    ETL transforms data before loading it into the target system, while ELT loads raw data first and transforms it inside the target platform.

    Basic understanding of SQL and data concepts is helpful but not mandatory.

    Participants will work with Azure Data Factory, Mapping Data Flows, and related Azure data services.

    Yes, participants will receive an industry-recognized ETL/ELT Pipelines Certification.

    Customized Corporate Training

    We also provide corporate training programs tailored for organizations looking to build reliable ETL/ELT data pipelines.

    Custom curriculum

    Industry-specific use cases

    Flexible training delivery

    Enterprise consulting support

    Who Should Attend

    ETL Developers

    Data Engineers

    Data Analysts

    BI Developers

    IT Professionals

    Database Administrators

    Claude for Cloud Developers

    Build the Future with ETL/ELT Pipelines

    Become a specialist in Data Pipeline Design and Automation using Azure Data Factory.

    Learn from industry experts

    Work on real ETL/ELT projects

    Earn certification

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