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30-Day AWS Data Engineering Course

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

velmurugan-AWS
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Fill the form now! Agenda for the Master Class

New batch starts 24th Feb! Join our WhatsApp group for a FREE demo on 20th Feb – simply fill out the form!

This course is ideal for individuals who:

New to AWS

Basic of SQL or Python skills

Desires hands-on experience in:AWS Glue, S3, Athena, Delta Lake, Snowflake, Kinesis,Lambda, RDS

Seeking to gain 4 years of experience

Looking for 3
real time projects

Why Choose Us?

Small Batch: Personalized learning

Learn from Industry Expert: Hands-on training

Resume Prep & Mock Interviews: Job-ready support

7-Day Refund: No questions asked

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

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

Modules covered in this AWS Data Engineering

Day 1
Introduction to Cloud and AWS Basics
  • Introduction to Cloud Computing
  • Basics of AWS Serverless Architecture
  • Introduction to Data Engineering using AWS Services
Day 2
OLAP, OLTP, and Data Warehousing
  • OLAP vs. OLTP
  • Popular Data Warehouses
Day 3
EC2, IAM, and Networking Basics
  • Basic EC2 & Linux VM Types Overview
  • Create IAM User and Role for Data Engineering
  • VPC & Security Group Configuration
Day 4
Data Lake Setup and Storage on AWS
  • Data Lake & Other Storage Options
  • Setting up Sample Data on Amazon S3
Day 5
Introduction to Spark Architecture
  • Understanding Spark Architecture Basics
Day 6
RDD and DataFrame Foundations
  • RDD and DataFrame Foundations
Day 7
Exploring Spark APIs
  • Exploring DataFrame Spark API and Data Source Spark API
Day 8
Working with File Formats in Spark
  • Reading and Processing CSV, JSON, Parquet Files with Spark
Day 9
Introduction to AWS Glue
  • AWS Glue - Architecture Overview
  • Writing AWS Glue Job Scripts and Properties
Day 10
PySpark Transformations and DAG
  • Common Transformation Techniques in PySpark
  • Deep Dive into Transformations and Actions in PySpark
  • Directed Acyclic Graphs (DAG)
Day 11
Partitioning Data in Spark
  • Partition Techniques in Spark
Day 12
Handling Complex JSON and Struct Data Types
  • Handling Complex JSON and Struct Data Types
Day 13
AWS Glue and Secrets Management
  • AWS Glue and AWS Secret Manager
Day 14
Mastering UDFs in Spark
  • Understanding and Creating UDFs (User-Defined Functions)
Day 15
AWS Glue Data Catalog
  • Using AWS Glue - Data Catalog and Databases
Day 16
Amazon RDS and Glue Integration
  • Overview of Amazon RDS MySQL Management & Connectivity
  • AWS Glue Connect to Amazon RDS MySQL
Day 17
Introduction to NoSQL and DynamoDB
  • NoSQL Database Basics
  • AWS Glue & DynamoDB Integration
Day 18
Building Data Catalogs with Athena
  • Developing Data Catalog with AWS Athena
  • Athena Create Table by Crawler
Day 19
Advanced Athena Queries
  • AWS Athena - Data Types and DDL Statements
Day 20
Hive Catalog and Delta Lake Basics
  • Hive Catalog and Delta Lake
Day 21
Delta Lake Table Operations
  • Table Manipulation with Delta Lake and Delta Table
Day 22
Spark UI and Performance Monitoring
  • Spark UI for Performance Monitoring
Day 23
Advanced AWS Glue Configurations
  • Developing AWS Glue Jobs with Advanced Network Configuration
Day 24
Spark Optimization Techniques
  • Spark Optimization Techniques
  • Adaptive Query Execution
Day 25
Addressing Data Skew in Spark
  • Addressing Data Skew and Salting in Spark
Day 26
Building AWS Lambda Functions
  • Building a Lambda Function
Day 27
Lambda with Amazon S3
  • AWS Lambda Function with Amazon S3
Day 28
Lambda with DynamoDB and SNS
  • Lambda Function with Amazon DynamoDB
  • Lambda Function with Amazon SNS
Day 29
Implementing Slowly Changing Dimensions (SCD)
  • SCD Implementation
Day 30
Mastering Medallion Architecture
  • Medallion Architecture

Some of the tools you will learn

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Apache-Spark-logo

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.

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 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.

I highly recommend Velmurugan Sir to anyone looking to excel in data engineering, especially with tools like AWS Glue and Spark. His dedication to his students’ success and his deep knowledge make him an exceptional instructor.

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.

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.

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.

I would like to express my deepest gratitude to Velmurugan Sir, who has been instrumental in transforming my career trajectory. Coming from a background as a Data Analyst with only a basic understanding of Python, I found myself assigned to a complex project involving a framework of over 6,000 lines of code. It was a daunting challenge, but Velmurugan Sir’s guidance made all the difference.

One of his standout qualities is his ability to explain even the most complex concepts in a simple, approachable, and easy-to-understand manner. No question was too small for him, and he always made time to ensure I fully grasped each topic. His teaching methodology instills confidence and fosters a deeper understanding of Databricks, Azure, and data engineering concepts.

I consider myself fortunate to have learned under his guidance and highly recommend him to anyone seeking to build expertise in PySpark, Databricks, Azure, or data engineering. His mentorship is a true asset for anyone looking to excel in these areas.

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.

Grab the course, and get ready for...

Most Popular plan

₹ 20,000

Instructor-led live sessions

Popular plan

₹ 8,999

On-Demand Recorded sessions

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