Our training is led by an industry expert with over 15 years of experience, who has worked extensively with cloud technologies, modern data engineering pipelines, and enterprise data warehousing. The trainer’s teaching style is practical, use case–driven, and focused on preparing students for real-world challenges. What sets this Snowflake course apart is its integration with dbt training in Hyderabad, a cutting-edge transformation tool used in the ELT (Extract, Load, Transform) process. dbt helps automate data transformations using modular SQL and is now a standard in modern data pipelines. By learning dbt alongside Snowflake, students gain an edge in mastering end-to-end data engineering workflows, including data modeling, testing, documentation, and deployment.

The course includes modules that cover data loading techniques using Snowpipe, COPY INTO, working with streams and tasks for incremental data processing, and handling semi-structured data using VARIANT, OBJECT, and ARRAY data types. Additionally, learners explore advanced topics such as performance tuning using clustering keys, query profiling, result caching, and warehouse sizing strategies. The integration with dbt ensures that learners also understand how to build reusable data models, define version-controlled transformations, run automated data tests, and manage environments with dbt Cloud or dbt Core.