This course offers a hands-on introduction to DBT (Data Build Tool) and Matillion, two powerful tools in the modern data engineering toolkit. You'll learn how to build scalable data transformation workflows using SQL-based modeling in DBT and visual ETL pipelines in Matillion.
Designed for Data Engineers and Snowflake Developers, the course covers real-time use cases, version control, testing, and performance optimization across leading cloud data platforms like Snowflake, Redshift, BigQuery, and Azure Synapse.
By the end of the course, you'll be equipped to design, automate, and maintain robust data pipelines that turn raw data into trusted insights.
Start Date & End Date
1 Subject
6 Exercises • 25 Learning Materials
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.
By clicking on Continue, I accept the Terms & Conditions,
Privacy Policy & Refund Policy