Cloud Engineer, AWS Hero, AWS User Group Athens co-organizer, and blogger at thelastdev.com. Passionate about Data and DevOps, with extensive experience in architecting and implementing robust data platforms.
Cloud Engineer, AWS Hero, AWS User Group Athens co-organizer, and blogger at thelastdev.com. Passionate about Data and DevOps, with extensive experience in architecting and implementing robust data platforms.
AWS User Group Athens in Openconf. A group of people and I will give our presence to Openconf as a cloud community, share insights, swag (maybe), and ideas with the rest of the community and participants
In this hands-on workshop, we’ll dive into building a serverless data lake on AWS using tools like S3, AWS Glue, Athena, and more. This session is for you if you’re a DevOps engineer, data engineer, or cloud architect looking to unlock scalable, low-maintenance data pipelines.
You’ll learn how to:
– Design a modern, serverless architecture for ingesting and querying data
– Use AWS Glue for schema discovery and data cataloging
– Query data directly with Amazon Athena without spinning up a cluster
– Implement basic security, governance, and cost controls
By the end, you’ll have a working prototype and the skills to build and scale a serverless data platform in your own cloud environment
The proposed workshop is designed to address the needs of data engineers, and cloud architects seeking to build scalable, low-maintenance data platforms. Through hands-on exercises, participants will explore how to design and implement a serverless data lake on AWS using core services such as Amazon S3, AWS Glue, and Amazon Athena
Participants will gain both the architectural understanding and the practical skills required to design, implement, and query a fully functional serverless data lake — from ingestion and cataloging to querying.
By the end of the workshop, attendees will have built a working prototype and be equipped to apply these techniques in their own environments to accelerate data-driven decision-making.
Design and deploy a serverless data lake architecture using AWS services
Ingest and organize raw data efficiently using Amazon S3
Perform schema discovery and metadata management with AWS Glue
Query large-scale datasets seamlessly with Amazon Athena
DevOps engineers, data engineers, and cloud architects who want to design data platforms that scale without operational overhead. Also suitable for developers looking to strengthen their AWS data engineering and analytical skills
Laptop with internet access. Familiarity with AWS basics (IAM, S3). Basic Python and SQL knowledge
A fully functional serverless data lake prototype built during the workshop. The presentation slides and hands-on lab instructions. Sample datasets and reference code snippets for later experimentation.
AWS User Group Athens in Openconf. A group of people and I will give our presence to Openconf as a cloud community, share insights, swag (maybe), and ideas with the rest of the community and participants
A discussion of building global success and how artificial intelligence is transforming the world.
