The AWS Data Engineering Virtual Internship provides hands-on experience in AWS cloud services, including data services like S3, RDS, Redshift, and DynamoDB. Participants learn to design and implement scalable data pipelines, integrate multiple services for data handling, and automate workflows while ensuring data reliability. The program enhances practical skills and knowledge in cloud-based data engineering and best practices.

1. AWS Data Engineering Virtual
Internship
Hands-on Experience in Data
Engineering with AWS

2. Table of Contents
• 1. What We Learn
• 2. Problem Statement
• 3. Conclusion

3. What We Learn
• • Introduction to AWS Cloud Services.
• • Working with AWS Data Services (S3, RDS,
Redshift, DynamoDB).
• • Building ETL Pipelines using AWS Glue and
Lambda.
• • Data transformation and analysis using AWS
Data Lakes.
• • Implementing data security, encryption, and
compliance practices.

4. Problem Statement
• • Design and implement a scalable data
pipeline.
• • Integrate multiple AWS services for data
storage, processing, and analytics.
• • Handle large datasets while ensuring data
accuracy and reliability.
• • Automate data workflows for a cloud-based
solution.

5. Conclusion
• • Gained hands-on experience with AWS data
services.
• • Developed practical skills in data pipeline
creation and management.
• • Learned best practices for data engineering
in cloud environments.
• • Enhanced problem-solving and data
transformation abilities.