Arjan Schaaf
Employers on the program
- 2024–2026Amazon Web Services9 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | builders session | Financial data modeling with Amazon DynamoDB as Amazon Web Services Designing business applications for low latency, high throughput, high consistency, and high availability presents unique challenges at scale. | |
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | workshop | Multi-tenant agentic AI with Aurora and DynamoDB as Amazon Web Services AI agents are autonomous, stateful, and capable of invoking external tools. In a multi-tenant SaaS system, every one of those capabilities is a potential data…Show lessAI agents are autonomous, stateful, and capable of invoking external tools. In a multi-tenant SaaS system, every one of those capabilities is a potential data isolation failure. | |
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | builders session | Vector search, agents, and image matching with Amazon DynamoDB as Amazon Web Services Amazon DynamoDB supports native vector search, enabling semantic queries, agentic recommendations, and image-based matching without additional infrastructure. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | builders session | Applied data modeling with Amazon DynamoDB [REPEAT] as Amazon Web Services In this builders’ session, learn how to turn a new business idea into a fully functional data model in Amazon DynamoDB. Discover how to translate business…Show lessIn this builders’ session, learn how to turn a new business idea into a fully functional data model in Amazon DynamoDB. Discover how to translate business requirements into access patterns and access patterns into a fully optimized schema design. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | workshop | Build a web-scale application with purpose-built databases & analytics as Amazon Web Services In this workshop, learn to build modern web applications at scale using purpose-built databases. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | builders session | Use Amazon DynamoDB to enhance agentic AI workflows as Amazon Web Services Managing multiple AI agents in production can lead to data inconsistencies, security vulnerabilities, and system failures. Join us in this hands-on session…Show lessManaging multiple AI agents in production can lead to data inconsistencies, security vulnerabilities, and system failures. Join us in this hands-on session where you will build an agent governance framework using Amazon DynamoDB. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | builders session | Applied data modeling with Amazon DynamoDB [REPEAT] as Amazon Web Services In this builders’ session, learn how to turn a new business idea into a fully functional data model in Amazon DynamoDB. Discover how to translate business…Show lessIn this builders’ session, learn how to turn a new business idea into a fully functional data model in Amazon DynamoDB. Discover how to translate business requirements into access patterns and access patterns into a fully optimized schema design. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | workshop | Build a web-scale application with purpose-built databases & analytics [REPEAT] as Amazon Web Services In this workshop, learn to build modern web applications at scale using purpose-built databases. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | code talk | Optimize Amazon DynamoDB performance using AWS SDK for Java 2.x as Amazon Web Services In this code talk, discover how to optimize the performance of interacting with Amazon DynamoDB using the AWS SDK for Java. See live coding scenarios on how to…Show lessIn this code talk, discover how to optimize the performance of interacting with Amazon DynamoDB using the AWS SDK for Java. See live coding scenarios on how to minimize the latency of your DynamoDB interactions and improve throughput, and learn best practices for configuring your AWS SDK client. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | builders session | Applied data modeling with Amazon DynamoDB [REPEAT]In this builders’ session, learn how to turn a new business idea into a fully functional data model in Amazon DynamoDB. Discover hands-on how to translate…Show lessIn this builders’ session, learn how to turn a new business idea into a fully functional data model in Amazon DynamoDB. Discover hands-on how to translate business requirements into access patterns and access patterns into a fully optimized schema design. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | builders session | Build and deploy a globally distributed app with Amazon DynamoDB [REPEAT]In this builders’ session, learn how to build and deploy a globally distributed application where end users interact with data located closest to them. Amazon…Show lessIn this builders’ session, learn how to build and deploy a globally distributed application where end users interact with data located closest to them. Amazon DynamoDB global tables replicate any changes made in one of the AWS Regions to the other participating AWS Regions. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Robert McCauley | 4 | 5 | 2026 |
| Taylor Riggan | 4 | 2 | 2026 |
| Jason Hunter | 4 | 1 | 2026 |
| Aaron Chen | 4 | — | 2026 |
| Aaron Sempf | 4 | — | 2026 |
| Abbas Mooraj | 4 | — | 2026 |
| Abhishek Pandey | 4 | — | 2026 |
| Abhishek Sharma | 4 | — | 2026 |
| Abhishek Srivastav | 4 | — | 2026 |
| Adam Hill | 4 | — | 2026 |
| Addy Upreti | 4 | — | 2026 |
| Aditi Garg | 4 | — | 2026 |
| Aditya Challa | 4 | — | 2026 |
| Aditya Samant | 4 | — | 2026 |
| Adnan Bilwani | 4 | — | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.