Building an End-to-End Serverless Data Pipeline with AWS

Workshop Objectives:

• The main objective is to introduce students with data engineering and data analytics on AWS. Furthermore its purpose is to equip students with the skills of having real hands-on experience with aws services (s3, lambda, auroradb and athena).
• Architect Serverless Workflows: Understand the design patterns of a modern data lake using Amazon S3 as a durable landing zone for raw datasets.
• Master Event-Driven ETL: Develop and deploy AWS Lambda functions using Python to automate the Extraction, Transformation, and Loading (ETL) process.