Masterclass: Data Engineering in AWS – Building Scalable Data Platforms

Join us for an engaging session on Data Engineering in AWS, led by Sanjeeb Mohapatra, an AWS Community Builder and QuickSight Community Expert for 2023 & 2024. This event will demystify the principles of data engineering, explore AWS-powered solutions for data pipelines, and discuss real-world use cases from top industry players like Dream11 and HPE Aruba.
Whether you're a beginner exploring data engineering or an experienced professional looking to optimize your cloud-based data platforms, this session will equip you with valuable insights into AWS services, tools, and certifications to accelerate your career or project.

#### Agenda:

1. Introduction to Data Engineering

• Overview of the data engineering lifecycle.
• Key differences: Data Warehouse, Data Lake, and Lake House architectures.

2. Building Data Platforms in AWS

• Essential AWS services for data storage, migration, analytics, and security.
• Integration and orchestration tools in the AWS ecosystem.

3. Case Studies

• Dream11's Data Highway: Modernizing data platforms for scale and efficiency.
• HPE Aruba: Migrating supply chain data to AWS for cost optimization.

4. Certification Path for Data Engineers in AWS

• AWS certifications roadmap: Foundation to Specialty.
• Recommended learning resources and tools.

5. Q&A

• Open forum to address your data engineering questions.

#### Speaker:

Sanjeeb Mohapatra

• AWS Community Builder (Data Category: 2023 & 2024).
• AWS QuickSight Community Expert (2023 & 2024).
• Passionate about Data Analytics and Cloud Platforms.

#### Who Should Attend:

• Data engineers, architects, and analysts.
• AWS enthusiasts and cloud computing professionals.
• Students and professionals seeking to build a career in data engineering.

#### Why Attend?

• Learn how to leverage AWS services to design and optimize data platforms.
• Explore real-world use cases to inspire your next project.
• Gain insights into AWS certifications and free/open-source tools for skill building.

Don't miss this opportunity to level up your data engineering skills and network with like-minded professionals!