Raj Cloud Technologies
Snowflake + DBT + ADF with AI

Snowflake + DBT + ADF with AI

Snowflake + dbt + Azure Data Factory is the most-asked-for modern data stack in 2026, and Snowflake Developers earn ₹6-25 LPA depending on experience. In two months of live training you'll go from raw SQL to building complete production pipelines — warehouses and RBAC, time travel and zero-copy cloning, dbt for transformation modelling and testing, ADF for orchestration, and Snowflake Cortex for in-warehouse AI. You'll ship a real end-to-end project on production-scale data and walk into interviews with the same skills senior Data Engineers are billing for.

0 lessons

What you'll learn

  • Design and build production data warehouses on Snowflake
  • Write dbt models with tests, docs, and CI/CD pipelines
  • Orchestrate end-to-end ETL with Azure Data Factory
  • Implement CDC using Snowflake Streams + Tasks
  • Use Snowflake Cortex to add LLM intelligence inside SQL queries
  • Tune Snowflake performance — clustering, MVs, query profiles
  • Apply zero-copy cloning + time travel for dev/test workflows
  • Pass the Snowflake SnowPro Core certification
  • Crack technical interviews for Snowflake roles paying ₹6-40 LPA

Technologies Taught

Snowflake — warehouses, databases, RBAC, time travelSnowpark for Python in-warehouse processingdbt Core + dbt Cloud — models, tests, docs, CI/CDAzure Data Factory (ADF) — pipelines, triggers, integration runtimesSnowflake Cortex AI — LLM functions, document intelligenceSnowSQL CLI + Snowsight UIStreams + Tasks for CDC patternsPerformance: clustering, materialized views, search optimizationData sharing + secure data exchange

Course Unique Features

  • 70+ hours of live training with real Snowflake accounts
  • 40+ live sessions covering Snowflake + dbt + ADF + Cortex AI
  • Build a complete real-time pipeline from source to analyst-ready marts
  • Daily 90-minute interactive class + separate doubt-clearing sessions
  • Trained by Snowflake-certified instructors with 10+ years industry experience
  • 600+ five-star reviews from previous batches
  • Interview prep in both theoretical concepts and live system design
  • Resume polish + direct introductions to hiring partners
  • Lifetime access to recordings, query templates, and project codebase
  • Snowflake SnowPro Core certification preparation included

Job Opportunities

Top job positions you can apply for after completing this training.

Job RoleExperienceSalary Range
1. Snowflake DeveloperFresher to 2+ Years4-10 LPA
2. Snowflake+DBT DeveloperFresher to 3+ Years4-15 LPA
3. Snowflake Data EngineerFresher to 3+ Years4-15 LPA
4. Snowflake Solutions EngineerFresher to 4+ Years4-15 LPA
5. Snowflake ETL DeveloperFresher to 4+ Years4-25 LPA
6. Snowflake Analyst2+ Years6-15 LPA
7. Snowflake + Cloud Data Engineer (Azure/AWS)3+ Years8-18 LPA
8. Lead Snowflake Data Engineer4+ Years12-25 LPA
9. Snowflake Consultant4+ Years12-25 LPA
10. Snowflake Architect6+ Years20-40 LPA

You Can Work As

Snowflake DeveloperSnowflake Data EngineerSnowflake + dbt DeveloperCloud Data EngineerAnalytics EngineerData Warehouse DeveloperETL Developer (Snowflake)Snowflake ConsultantSnowflake Architect

Upcoming In-Demand Jobs

Analytics EngineerCloud Data Engineerdbt DeveloperData Platform EngineerCortex AI Developer

Course Curriculum

Oracle Basics

11 topics
  • •Basics of RDMBS
  • •DDL, DML, DQL, and TCL Commands
  • •Operators in Oracle (And, OR, Not, IN, LIKE, Between)
  • •Null, Not Null
  • •Order By in Oracle
  • •Group By, Group Functions and Having Clause
  • •Constraints (Not Null, Unique, Primary key, Foreign Key and Check)
  • •Joins (Inner join, Left outer, right outer, Full outer joins, Self-join and Cross join)
  • •Set Operators (Union, Union All, Intersect, Minus)
  • •Rank and Dense Rank functions
  • •Views and indexes

Snowflake – Architecture and Concepts

5 topics
  • •Snowflake – Architecture and Concepts
  • •Key Concepts & Architecture
  • •Cloud Platforms
  • •Snowflake Editions
  • •Overview of Key Feature

Connecting to Snowflake & Roles/Users

7 topics
  • •Overview of the Ecosystem
  • •Snowflake Partner Connect
  • •SnowSQL (CLI Client) – Installation, Configuration and Usage
  • •Lab – Snowsql Lab & Exercises
  • •Creation of user Roles in Snowflake
  • •Creation of Users in Snowflake
  • •Explanation of Roles and User Management

Virtual Warehouses in Snowflake

3 topics
  • •Creation of Virtual Warehouses
  • •Explanation of Virtual Warehouses Privileges
  • •Resource Monitors Management and Alerts

Database Objects and Storage in Snowflake

5 topics
  • •Creation of Databases and Schema
  • •Explanation of Databases and Schema Privileges
  • •Creation Types of Tables
  • •Explanation of Table Privileges
  • •Explanation of Snowflake Cache Layer

Snowflake Time Travel and Fail Safe

4 topics
  • •Time Travel
  • •Time Travel considerations
  • •Fail Safe – Recovery
  • •Lab – Time Travel and Fail-Safe Lab & Exercises

Zero Copy Cloning in Snowflake

2 topics
  • •Explanation of zero copy cloning using different object
  • •What can be cloned and what cannot

Types of Stages

2 topics
  • •Internal Stages
  • •External Stage

Loading into Snowflake (On-Premises to Cloud)

6 topics
  • •Overview of Data Loading/Unloading
  • •Bulk Data Loading/Unloading from a Local File System
  • •Loading Using the Web Interface (Limited)
  • •Querying Data in Staged Files
  • •Troubleshooting Bulk Data Loads
  • •Lab – Data Loading / Unloading Lab & Exercises

Loading into Snowflake (Cloud to Cloud)

2 topics
  • •AWS Integration Process
  • •AWS to Snowflake Data Loading

Continuous Data Loading into Snowflake

2 topics
  • •Continuous Data Loading using Snowpipe
  • •Snowpipe Configuration

Loading Semi Structure Data into Snowflake

2 topics
  • •Loading Semi-Structure data from on-premises to cloud
  • •JSON and XML

Advance Topics

4 topics
  • •Streams and Tasks
  • •Types of SCD's
  • •Email Notification creation
  • •Lab – Streams & Tasks Lab & Exercises

Sharing Data and Views in Snowflake

8 topics
  • •Introduction to Data Sharing
  • •Data Providers
  • •Data Consumers
  • •Working with Shares
  • •Using Secure Objects to Control Data Access
  • •Configuring a Reader Account
  • •Managing Reader Accounts
  • •Lab – Data Sharing Exercises

UDF and Procedures

3 topics
  • •Analytical Functions
  • •User Defined Functions
  • •Procedures

Performance Tuning

5 topics
  • •Query Tuning
  • •Clustering
  • •Micro Partitions
  • •Materialized Views
  • •Performance Considerations

Masking Policies – Column Level and Row Level

2 topics
  • •Column level Masking Policies
  • •Row level Masking Policies

Working With Dates and Time Stamps

2 topics
  • •Dates and time Stamps
  • •Date and Time Stamp conversions

DBT Topics

31 topics
  • •Set up DBT Cloud
  • •Creating connection between DBT and Snowflake
  • •Data loading into the data warehouse
  • •Version Control
  • •Data repository set up & connect to DBT cloud
  • •The process to connect to Repository
  • •The process to connect to your warehouse
  • •Learning Objectives – Materializations
  • •Materialization Overview
  • •Model Dependencies
  • •Table type materialization
  • •Incremental materialization
  • •Ephemeral materialization
  • •Learning Objectives – Seeds and Sources
  • •Seeds and Sources Overview
  • •Source Configuration
  • •Seeds
  • •Sources
  • •Source Freshness
  • •Tests Overview
  • •Generic Tests
  • •Singular Tests
  • •Create your own singular test
  • •Snapshots Overview
  • •Creating a Snapshot
  • •Incremental strategies
  • •What are Macros?
  • •Creation of Macros
  • •Hooks
  • •Setting up a BI Dashboard in Snowflake and Preset
  • •Documentation

Pipelines from ADF to Snowflake

3 topics
  • •Creation of Azure Blob storage
  • •ADF Pipeline configuration and set up
  • •Data Load from Azure Blob to Snowflake using ADF

Course Instructed By

MS
Ms. Sai Sri

11+ years of accomplished IT experience with proven expertise in designing, building, and optimizing large-scale data engineering and cloud solutions. Specialized in Snowflake, DBT, Azure Data Factory (ADF), and AWS, with deep knowledge of modern data platforms and end-to-end pipeline automation. Strong ability to implement data warehousing, transformation, and orchestration solutions that drive business intelligence and analytics. Approved trainer by Raj Cloud Technologies.

Approved trainer by Raj Cloud Technologies

MS
Mr. Sameer K---

13+ Years of accomplished IT experience with proven expertise in designing, building, and modernizing large-scale data engineering and analytics platforms. Specialized in Snowflake, Databricks, AB Initio, and cloud-native data architectures, with strong hands-on experience in large-scale data migration, ETL/ELT modernization, and lakehouse implementations. Extensive experience in migrating legacy platforms to Snowflake, handling petabyte-scale data, implementing SnowSQL, Snowpipe, Streams & Tasks, Snowpark, RBAC, and dynamic data masking. Approved trainer by Raj Cloud Technologies.

Approved trainer by Raj Cloud Technologies

Course content

Lifetime access

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Certificate included

On 100% completion

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₹16,499

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