Lee Hannigan
Employers on the program
- 2025–2026Amazon Web Services5 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 | AI-assisted data modeling for Amazon DynamoDB as Amazon Web Services In this session, learn practical Amazon DynamoDB data modeling through an AI-assisted approach. | |
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | chalk talk | Cost optimization for Amazon DynamoDB as Amazon Web Services Developers love building on powerful, serverless Amazon DynamoDB, and as their production tables grow in size and traffic, they want to discover what mechanisms…Show lessDevelopers love building on powerful, serverless Amazon DynamoDB, and as their production tables grow in size and traffic, they want to discover what mechanisms and optimizations can be applied to reduce costs. Cost optimization can be done both in the design phase and during operations. | |
| 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 | chalk talk | Cost optimization for Amazon DynamoDB [REPEAT] as Amazon Web Services Developers love building on powerful, serverless Amazon DynamoDB, and as their production tables grow in size and traffic, they want to discover what mechanisms…Show lessDevelopers love building on powerful, serverless Amazon DynamoDB, and as their production tables grow in size and traffic, they want to discover what mechanisms and optimizations can be applied to reduce costs. Cost optimization can be done both in the design phase and during operations. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | builders session | Vibe data modeling with Amazon DynamoDB [REPEAT] as Amazon Web Services In this session master practical Amazon DynamoDB data modeling through an innovative "vibe modeling" approach using Model Context Protocol (MCP). Learn to…Show lessIn this session master practical Amazon DynamoDB data modeling through an innovative "vibe modeling" approach using Model Context Protocol (MCP). Learn to architect complex data models that use sophisticated techniques right inside an AI-powered IDE. | |
| 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. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Greg Krumm | 3 | 3 | 2026 |
| Arjan Schaaf | 3 | 2 | 2026 |
| Robert McCauley | 3 | 2 | 2026 |
| Aaron Chen | 3 | — | 2026 |
| Aaron Sempf | 3 | — | 2026 |
| Aarthi Srinivasan | 3 | — | 2026 |
| Abbas Mooraj | 3 | — | 2026 |
| Abhishek Pandey | 3 | — | 2026 |
| Abhishek Sharma | 3 | — | 2026 |
| Abhishek Srivastav | 3 | — | 2026 |
| Adam Hill | 3 | — | 2026 |
| Addy Upreti | 3 | — | 2026 |
| Aditi Garg | 3 | — | 2026 |
| Aditya Challa | 3 | — | 2026 |
| Aditya Pendyala | 3 | — | 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.