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Snowflake Data Engineering with AWS & ADF - 2025 - Free Preview

Unlock the power of cloud-native data engineering with our comprehensive course on Snowflake Data Engineering using AWS & Azure Data Factory (ADF). Designed for aspiring data engineers and professionals aiming to build modern, scalable data pipelines, this course blends multi-cloud architecture with hands-on tools used in top data teams. You’ll gain practical skills in: ✅ SQL for Data Engineering – Foundation for queries, transformations & modeling ✅ Python for Snowpark – Leverage Python’s flexibility inside Snowflake pipelines ✅ Snowflake – Deep dive into cloud data warehousing, architecture & optimization ✅ Snowpark – Write scalable data logic using Python, Java, or Scala inside Snowflake ✅ DBT (Data Build Tool) – Modern ELT development & testing ✅ Matillion – Build ETL pipelines visually for cloud-scale workflows ✅ AWS – Integrate with S3, Lambda, and other key AWS services ✅ ADF (Azure Data Factory) – Design & orchestrate hybrid data pipelines This is a project-based course where learners build end-to-end data engineering pipelines using real-world datasets and multi-cloud environments (AWS + Azure). ? Who Should Join? Aspiring Data Engineers SQL Developers transitioning to Cloud roles Professionals targeting Snowflake Certifications Working professionals seeking a multi-cloud skill set

Course Instructor: Sagar

FREE

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Course Overview

  1. Unlock the power of cloud-native data engineering with our comprehensive course on Snowflake Data Engineering using AWS & Azure Data Factory (ADF). Designed for aspiring data engineers and professionals aiming to build modern, scalable data pipelines, this course blends multi-cloud architecture with hands-on tools used in top data teams.

    You’ll gain practical skills in:

    ✅ SQL for Data Engineering – Foundation for queries, transformations & modeling
    ✅ Python for Snowpark – Leverage Python’s flexibility inside Snowflake pipelines
    ✅ Snowflake – Deep dive into cloud data warehousing, architecture & optimization
    ✅ Snowpark – Write scalable data logic using Python, Java, or Scala inside Snowflake
    ✅ DBT (Data Build Tool) – Modern ELT development & testing
    ✅ Matillion – Build ETL pipelines visually for cloud-scale workflows
    ✅ AWS – Integrate with S3, Lambda, and other key AWS services
    ✅ ADF (Azure Data Factory) – Design & orchestrate hybrid data pipelines

    This is a project-based course where learners build end-to-end data engineering pipelines using real-world datasets and multi-cloud environments (AWS + Azure).

    🧠 Who Should Join?

    • Aspiring Data Engineers

    • SQL Developers transitioning to Cloud roles

    • Professionals targeting Snowflake Certifications

    • Working professionals seeking a multi-cloud skill set

Schedule of Classes

Start Date & End Date

Mar 13 2025 - Mar 18 2025

Total Classes

1 Classes

Course Curriculum

1 Subject

Snowflake with AWS - Free Preview

4 Learning Materials

Course Curriculum & Road_Map

The Ultimate Data Engineering Roadmap Till 2030 ?

External Link

Course content

PDF

Sql Instalation

Sql Intro

PDF

instalation guide

PDF

Course Instructor

tutor image

Sagar

4 Courses   •   467 Students

Sagar is a seasoned Data Engineer with over 8 years of experience in designing, developing, and optimizing cloud-based data solutions. His expertise spans across Snowflake, Azure, AWS, and Matillion, enabling businesses to build efficient, scalable, and high-performance data pipelines.


With a deep understanding of data warehousing, ETL workflows, and cloud data engineering, Sagar has successfully led multiple end-to-end data migration and transformation projects across industries. His passion for data-driven solutions and hands-on experience with modern cloud technologies make him an invaluable mentor and instructor.


🔹 Key Expertise:

✔ Snowflake – Data warehousing, Snowpark, performance tuning

✔ Azure & AWS – Cloud data solutions, storage, and compute optimization

✔ Matillion & DBT – ETL/ELT pipeline development, orchestration, and automation

✔ Python & SQL – Data transformation, scripting, and process automation


Sagar's real-world experience and ability to simplify complex data concepts make him an ideal mentor for aspiring data engineers.