This course is designed to help you become a practical and industry-ready Data Engineer with hands-on expertise in Snowflake and multi-cloud data pipelines. You will learn how to design, build, and manage scalable data workflows using SQL, Python, Snowflake, Snowpark, DBT, Matillion, AWS, and Azure ADF. Through guided labs and a real-time project, you will work on end-to-end data ingestion, transformation, orchestration, and deployment pipelines. The program includes best practices, architecture patterns, and interview preparation to help you confidently perform in real-world Data Engineering roles.
Start Date & End Date
1 Subject
5 Exercises • 12 Learning Materials
6 Courses • 576 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.
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