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Learn the Complete Roadmap of AWS & Snowflake Data Engineering in Our Free 2-Hour Masterclass!

Dive Deep into Data Engineering, Delta Lake Fundamentals, Task Orchestration, Performance Optimization, and Advanced Lakehouse Architecture in this Comprehensive Course!

Confused about how to start with AWS Data Engineering And Snowflake Data Engineering ?

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New batch starts 12th JUNE! Follow our WhatsApp channel for a FREE demo on 11th June – simply fill out the form!

2 hours

Zoom Live

22 Jul, 2025

6:00 PM

This course is ideal for individuals who:

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Want to see what’s covered in the full course?

Download curriculum and watch Demo video

Modules covered in this AWS Data Engineering And Snowflake Data Engineering

Module 1
Cloud & AWS Fundamentals (Week 1)
  • Basics of Cloud Computing & AWS

     

  • Introduction to Serverless Architecture

     

  • Data Engineering with AWS Overview

     

  • IAM User/Role setup

     

  • Amazon S3 – GUI + Introduction
  •  
Module 2
CLI, Boto3, and Dev Environment (Week 2)
  • Local Development Setup (VSCode + Python)

  • S3 CLI Commands (upload, sync, copy, etc.)

  • Boto3 Introduction & Automating AWS S3 tasks

  • S3 Bucket Policies

  • S3 Folder Structure for Data Lake
  •  
Module 3
PySpark & Spark Basics (Week 3)
  • Spark Architecture Basics (Driver, Executors, Cluster)

  • RDD & DataFrame Fundamentals

  • PySpark setup & First Transformation Jobs

  • Transformations vs Actions

  • SparkSession & DataFrame operations
Milestone: Project 1
Spark Optimization (Week 4)
  • Spark Partitioning

  • Spark UI – Understanding Job DAGs

  • Wide vs Narrow Transformations

  • Join Strategies, AQE

  • Data Skew handling in PySpark
Module 4
AWS Glue Basics (Week 5)
  • AWS Glue Architecture

  • Glue Studio vs Glue Script Editor

  • Writing Glue Jobs using PySpark

  • Parameters, Job Bookmarks

  • Glue Connections with RDS
Module 5
Glue Catalog & Workflows (Week 6)
  • AWS Glue Crawlers & Data Catalog

  • Glue Databases and Tables

  • Glue Workflow Orchestration

  • Scheduling and Triggering Glue Jobs

  • Git Integration with Glue Scripts
Milestone: Project 2
Project 1: Batch ETL with Glue (Week 7)
  • Real-time Project Setup

  • ETL from RDS/DynamoDB to S3 using Glue

  • Layered Storage Design (Raw, Processed, Curated)

  • Handling Spark Complex Data Types
Module 6
Iceberg & Lakehouse Concepts (Week 8)
  • Why Lakehouse over Traditional DWH

  • Apache Iceberg Overview

  • Iceberg Table Properties, Partitioning

  • Integrating Iceberg with Glue

  • Implementing SCD Type 2 with Iceberg Tables
Module 7
Event Driven Architecture with AWS (Week 9)
  • AWS Lambda Deep Dive

  • EventBridge Setup (Trigger Glue/Lambda)

  • AWS SNS, SQS Concepts

  • AWS Transfer Family (SFTP)

  • Orchestration with Step Functions
Milestone: Project 3
Snowflake Architecture & Essentials (Week 10)
  • Snowflake Architecture & Editions

  • Virtual Warehouses & Storage Layers

  • Roles, Users & Privileges

  • Time Travel & Zero-Copy Cloning

  • Caching and Fail-safe
Milestone: Project 3
Data Loading & Semi-Structured Data (Week 11)
  • Staging Files (Internal & External - S3)

     

  • Loading JSON/CSV/Parquet data

     

  • VARIANT, OBJECT, ARRAY types

     

  • SnowSQL & CLI Hands-On

     

  • CTEs in Snowflake
Milestone: Project 3
Snowpipe & Snowpark (Week 12)
  • Snowpipe Setup for Continuous Ingestion

     

  • Integration with AWS Firehose

     

  • Streams & Tasks in Snowflake

     

  • Snowpark vs Spark: Concept & Hands-on

     

  • Reading Multiple Formats (Delta, Iceberg)
Milestone: Project 3
DBT for Transformation (Week 13)
  • DBT Cloud Setup

     

  • Connecting DBT to Snowflake

     

  • DBT Models – Table, View, Incremental

     

  • Seeds, Sources, Snapshots

     

  • Testing & Documentation in DBT
Milestone: Project 3
Airflow & Orchestration (Week 14)
  • Apache Airflow Setup (Docker-based)

     

  • DAGs, Operators, Sensors, Hooks

     

  • Airflow + Snowflake Integration

     

  • Triggering DBT from Airflow

     

  • Monitoring & Alerting Pipelines
Milestone: Project 3
Advanced Pipeline Design (Week 15)
  • End-to-End Pipeline Design

     

  • Using ADF/Glue to Orchestrate Snowflake

     

  • Handling SCD Type 2 in Snowflake

     

  • Materialized Views & Micro-Partitions

     

  • BI Dashboard Integration
Milestone: Project 3
Final Project + Interview Prep (Week 16)
  • Project: Build a Production-grade Pipeline using Glue + Iceberg + Snowflake + DBT + Airflow

     

  • Resume Building & GitHub Profile Review

     

  • Mock Interview & Scenario Discussions

     

  • Certification Guidance (SnowPro / AWS DE)

The Ultimate Guide for Azure Data Engineering is crafted just for you!

If that sounds enticing and you aspire to become
a proficient Data Engineer, then

Some of the tools you will learn

Meet your mentor

velmurugan

Velmurugan M.S

Data Architect

Velmurugan M.S is a data professional with 15+ years of experience, including 8 years in big data technologies like Apache Spark, Databricks, and Hadoop. He specializes in designing data lakes and ELT processes using Databricks, AWS, and Azure. Currently a freelancer, Velmurugan has previously worked with IBM, Cognizant, and HP, excelling in optimizing Databricks architectures for performance and scalability.

Don't take our word for it.

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Soumya Parida

Current Company Name : Ltimindtree
★★★★★

Velmurugan is a very nice tutor and very well equipped with bigdata technologies like Hadoop, python, pyspark, sql, AWS and azure services. Previously I was into support environment,but with his help I transitioned my career into data engineering domain with a decent salary hike. He not only cleared the concepts but also used to give me realtime scenarios which helped me a lot in cracking the interviews. So would highly recommend everyone to attend his training who want to transition their career in data engineering domain.

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Paramjit Singh

Course : AWS Data Engineering & Databricks Certified data engineer associate
★★★★★

Velmurugan sir ability to break down complex concepts into simpler, easy-to-understand explanations is remarkable. He guided me step by step, ensuring I had a solid grasp of both foundational and advanced topics. His mentorship was instrumental in helping me clear the Databricks certification, which had been a major goal for me.
What sets him apart is his hands-on approach to teaching. He didn’t just prepare me for the certification but also helped me address real production challenges with actionable solutions. His insights and practical tips have had a lasting impact on my ability to troubleshoot and optimize data engineering workflows.

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Kirti Sharma

★★★★★

Learning from Velmurugan was an incredible experience. His deep knowledge of AWS Glue, Spark, and Databricks is matched by his ability to teach in a way that makes even the most complex topics approachable. I’m extremely grateful for his mentorship and would highly recommend him to anyone aspiring to grow in the fields of data engineering or cloud technologies. Velmurugan’s commitment to his students' success truly sets him apart.

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Bonny Joseph

Current Company Name : Amazon (Seattle, Washington, United States)
★★★★★

Vel did an excellent job of teaching all the foundational concepts before diving into hands-on work. He ensured I became proficient with modern data engineering tools, which have been incredibly helpful in my current role.

User Icon

Sarangan Subramaniam

Current Company Name : Expleo United Kingdom
★★★★★

Velmurugan is a very nice tutor and very well equipped with bigdata technologies like Hadoop,python, pyspark,sql,AWS and azure services.Previously I was into support environment,but with his help I transitioned my career into data engineering domain with a decent salary hike.He not only cleared the concepts but also used to give me realtime scenarios which helped me a lot in cracking the interviews.So would highly recommend everyone to attend his training who want to transition their career in data engineering domain.Velmurugan is a very nice tutor and very well equipped with bigdata technologies like Hadoop,python, pyspark,sql,AWS and azure services.Previously I was into support environment,but with his help I transitioned my career into data engineering domain with a decent salary hike.He not only cleared the concepts but also used to give me realtime scenarios which helped me a lot in cracking the interviews. So would highly recommend everyone to attend his training who want to transition their career in data engineering domain.

Attain Recognition with the Certificate of Course Completion

Upon completing the course, you will receive a certificate—an impactful addition to your LinkedIn profile that can capture the interest of our hiring partners and prominent big data companies.

Most Popular plan

₹ 39,999 ₹ 32,999 /-

Instructor-led live sessions

Popular plan

₹ 17,999 ₹ 15,999 /-

On-Demand Recorded sessions

Most Popular plan
₹ 39,999
₹ 32,999 /-
Instructor-led live sessions
  • Comprehensive Curriculum Coverage
  • Access to All Session Recordings
  • Certificate of Completion
  • Lifetime Access Granted
  • 5 Real-World Projects Included
  • Engage with a WhatsApp Community
  • Live Compact and Interactive Batches
  • Certification Support Available
  • Live Q&A Sessions
  • Career Guidance Provided
  • Live and Practical Classes
  • Support for AWS Certification
  • Instant Doubt Resolution
  • On Call Job Tips
  • Global Job Tips
  • On Resume Building Assistance
  • Insider Tips for Package Negotiation
  • Mock Interviews for Preparation
Enroll Now →
Popular plan
₹ 17,999
₹ 15,999 /-
On-Demand Recorded sessions
  • Comprehensive Curriculum Coverage
  • Access to All Session Recordings
  • Certificate of Completion
  • Lifetime Access Granted
  • 5 Real-World Projects Included
  • Engage with a WhatsApp Community
  • Live Doubt Sessions
  • Interview Questions
  • Live Compact and Interactive Batches
  • Live and Practical Classes
  • Instant Doubt Resolution
  • On Call Job Tips
  • Global Job Tips
  • On Resume Building Assistance
  • Insider Tips for Package Negotiation
  • Mock Interviews for Preparation
Enroll Now →

Frequently Asked Questions

How do I enroll in a course at Ellipse Education?

Signing up for a course is easy! Just visit the course page, hit the “Enroll Now” button, complete your payment, and we’ll promptly reach out to you with all the class details and resources.

Are there any prerequisites for the courses?

The prerequisites for each course differ. You can access detailed information regarding prerequisites on the course description page. For any specific inquiries, feel free to contact us via email or phone.

What kind of support is available for students?

We provide extensive assistance to our students. Our customer support team is here to assist you with any technical issues, while our instructors can be reached via discussion forums and email

Are the courses self-paced or scheduled?

We provide both self-paced and instructor-led courses to cater to different preferences. While self-paced courses offer flexibility for studying at your convenience, instructor-led courses offer additional benefits. Please refer to the course details for specific information on each.

Can I access the course materials after completing the course?

Certainly, even after completing the course, you will retain access to the course materials. This enables you to revisit the content at your leisure and stay informed about industry developments.

What certifications do your courses prepare for?

Our courses are crafted to equip students with the necessary knowledge for pertinent certifications in Azure and data technologies. Refer to the course description for specifics on the certifications included.

Do you offer corporate training or group discounts?

Indeed, we provide corporate training and extend group discounts. For inquiries regarding corporate partnerships or enrolling as a group, please reach out to us via email at educationellipse@gmail.com.

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We accept major credit cards, debit cards, and other secure payment methods. You can find more details during the checkout process.

How can I request a refund?

Please refer to our refund policy on the Terms and Conditions page. If you have specific refund-related queries, contact our customer support team for assistance.

Do you provide job placement assistance?

While we do not guarantee job placement, we offer career guidance resources and networking opportunities to support your job search after completing our courses.

If you have additional questions or need further assistance, feel free to contact us at educationellipse@gmail.com or reach out to our customer support team. We’re here to help you succeed in your learning journey!

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Check the individual courses

30 days | All levels | 9 modules, 3 Projects

Dive Deep into AWS Data Engineering, Delta Lake Fundamentals, Task Orchestration, Performance Optimization, and Advanced Lakehouse Architecture in this Comprehensive Course!

30 days | All levels | 10 modules, 1 Project

Master Snowflake in 10 practical modules. Learn its architecture, administration, data modeling, and query optimization. Apply real-world projects to boost your Data Engineering career.