Unlock the power of the modern data stack by mastering two of the most in-demand tools in data engineering today: Snowflake and DBT (Data Build Tool). This course is designed to help you build efficient, scalable, and maintainable ELT (Extract, Load, Transform) pipelines using Snowflake’s high-performance cloud data platform combined with DBT’s developer-friendly SQL transformation capabilities.
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Build a rock-solid base with Linux, Hadoop, and Shell scripting — the essentials every data engineer must master.
Seamlessly transition to cloud with hands-on experience in AWS services like S3, EMR, Redshift, and Glue.
Work on industry-level projects that mirror real job challenges and build the confidence to deliver in the field.
Receive end-to-end career support including resume building, mock interviews, and job referrals until you're placed.
Overview of traditional ETL vs. ELT
What is Snowflake? What is DBT?
Modern data stack architecture
Semi-structured data handling (JSON, Avro, Parquet)
Performance tuning & query optimization
Access control and data security
Snowpipe & external tables
Snowflake architecture & setup
Warehouses, databases, schemas, and tables
Data loading, querying & partitioning
Time travel, cloning & zero-copy cloning
Setting up DBT CLI and DBT Cloud
DBT project structure and workflows
Writing models and using Jinja templates
Running, testing, and documenting models
Connecting DBT with Snowflake
Building ELT pipelines with version control
Using DBT tests and documentation
Creating reusable and modular data transformations
Resume tips tailored to Snowflake/DBT roles
Mock interviews & case study walkthroughs
Certification support & career guidance
Used by top data teams at Airbnb, Netflix, and Shopify
Simplifies and speeds up data transformation processes
Highly in-demand stack for ELT and analytics engineering roles
Enables better collaboration, testing, and version control
Cloud-native, cost-effective, and future-proof
Aspiring Data Analysts & Engineers
SQL developers looking to modernize their skillset
BI professionals moving to the cloud
Analysts from non-tech backgrounds transitioning to tech roles
Anyone who wants to master the most in-demand analytics stack
Understand ELT pipelines and the role of modern data stacks
Gain deep practical experience in Snowflake & DBT
Learn to manage, test, and document scalable SQL transformations
Build project-ready pipelines used in real companies
Position yourself for roles like Data Analyst, Analytics Engineer, and Data Engineer
Live & recorded sessions with real-time project builds
Hands-on practice with Snowflake and DBT Cloud
ELT pipeline creation from scratch
One-on-one mentor support
Interview preparation & placement support
Certification of completion
"The live sessions are interactive and easy to follow. The mentors explain everything with great clarity"
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