Matillion Masterclass (2026)

Build Modern Cloud ELT Pipelines with Matillion, Snowflake & Google Cloud — From Setup to Production-Ready Automation

What you’ll learn
Build practical, real-world cloud ELT pipelines using Matillion from data extraction to transformation and loading into Snowflake
Design and automate complete end-to-end data workflows using orchestration jobs, transformation jobs, variables, and flow control components
Connect and integrate multiple data sources including cloud storage, APIs, databases, and structured/semi-structured files (Text, Excel, JSON)
Apply SQL transformations, joins, aggregations, data cleaning, and change detection techniques to prepare analytics-ready datasets
Implement production-grade features such as retry logic, error handling, and automated email alerts for reliable pipeline execution
Develop modern data engineering skills aligned with today’s cloud-based data platforms and real-world industry practices

Requirements
No prior experience required — just a laptop, internet connection, access to Google Cloud and Snowflake, and a willingness to learn.

Description
Are you a data engineer, ETL developer, cloud professional, data analyst, or someone looking to build modern cloud data pipelines using Matillion?

Imagine designing powerful, production-ready data pipelines that move data from raw sources to analytics-ready datasets — all using a cloud-native platform built for speed, scalability, and performance.

Matillion is designed to transform traditional ETL development into a modern ELT experience by leveraging the power of cloud data warehouses like Snowflake and platforms like Google Cloud. Instead of heavy on-premise tools and complex infrastructure, you work directly in the cloud — building pipelines visually while pushing transformations down to the data warehouse for maximum efficiency.

In this course, you will dive deep into how Matillion works — from environment setup and connectivity to transformation logic, automation, and production-grade pipeline management. You will learn how to design, build, schedule, and monitor complete end-to-end ELT workflows using real-world scenarios.

What You Will Learn

• What Matillion is and how it fits into the modern data stack

• Difference between traditional ETL and cloud-based ELT

• Understanding push-down optimization and cloud performance

• Setting up Matillion with Google Cloud and Snowflake

• Navigating the Matillion UI and building your first pipeline

• Connecting to cloud storage, APIs, and databases

• Loading text, Excel, and JSON files into cloud data warehouses

• Using SQL logic inside Matillion transformations

• Performing filtering, joins, aggregation, and data unification

• Cleaning data, handling missing values, and applying value mappings

• Detecting data changes and managing incremental loads

• Working with variables, flow control, and loop components

• Implementing retry logic and error handling

• Building production-ready pipelines with alerting and automation

Why This Course Is Important

Modern organizations rely on clean, reliable, and timely data. However, traditional ETL systems are complex, slow, and difficult to scale.

Matillion enables teams to build scalable, cloud-native pipelines that are faster, simpler, and more efficient. By pushing transformations directly to cloud data warehouses like Snowflake, Matillion ensures better performance and lower operational complexity.

This course teaches you how to build data pipelines the way modern data teams do — using cloud architecture, automation, and best practices.

Cloud ELT is no longer optional. It is the standard approach for modern data engineering.

What Makes This Course Unique

This course follows a real-world, hands-on data engineering approach. Every concept is demonstrated through practical implementation — from connecting data sources and loading files to building transformations and handling production-level errors.

You will not just learn theory. You will build complete pipelines step by step — including orchestration jobs, transformation jobs, variables, loops, and alerting systems.

The content is structured clearly and explained in simple language, making it suitable for beginners entering data engineering as well as professionals transitioning to cloud-based ELT tools.

No prior Matillion experience is required. Even if you are new to cloud data platforms, this course guides you from the fundamentals to advanced production workflows.

Start Your Modern Data Engineering Journey

Data pipelines power analytics, dashboards, machine learning, and business intelligence. Learning how to build them efficiently is one of the most valuable skills in today’s data-driven world.

Matillion makes cloud ELT powerful yet approachable.

In this course, you will learn how to design scalable pipelines, automate workflows, manage errors, and build production-ready data systems using Matillion.

If you are ready to upgrade your data engineering skills and master modern cloud ELT, enroll now in this Matillion Masterclass and start building pipelines like a professional data team.

Who this course is for
Data engineers who want to build modern cloud ELT pipelines using Matillion and work with real-world data workflows
ETL developers looking to transition from traditional on-premise ETL tools to scalable cloud-based ELT solutions
Cloud professionals who want to integrate Matillion with Snowflake and Google Cloud for production-ready data engineering
Data analysts and BI professionals who want to understand how raw data is transformed into analytics-ready datasets
Students and aspiring data professionals who want hands-on experience building end-to-end data pipelines in a modern cloud environment