David H Gardner Jr
Employers on the program
- 2024–2026Amazon Web Services10 talks
Upcoming appearances
Who’s booked ahead? →Event dates shown; only events starting today or later count. 1 upcoming event.
-
AWS re:Invent 2026 – · Las Vegas, United States
- A practitioner’s guide to data for agentic AI breakout Program source ↗
- Build explainable AI agent observability with DynamoDB and Neptune builders session Program source ↗
- Context engineering for agents: memory, SQL, knowledge graphs & skills chalk talk Program source ↗
- Multi-tenant agentic AI with Aurora and DynamoDB workshop Program source ↗
No upcoming appearances are currently recorded.
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 | breakout | A practitioner’s guide to data for agentic AI as AWS In this session, gain the skills needed to deploy end-to-end agentic AI applications using your most valuable data. | |
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | builders session | Build explainable AI agent observability with DynamoDB and Neptune as AWS Unintended agent actions and incorrect outputs are difficult to investigate without a structured provenance layer. | |
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | chalk talk | Context engineering for agents: memory, SQL, knowledge graphs & skills as AWS An agent's context window is a finite attention budget, and database-backed agents must keep that context current, selective, and traceable. | |
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | workshop | Multi-tenant agentic AI with Aurora and DynamoDB as AWS 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. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | workshop | Build a multi-Region, active-active rewards app with Aurora DSQL [REPEAT] as AWS In this workshop, get hands-on experience with Amazon Aurora DSQL, a serverless distributed SQL database that delivers active-active high availability. Learn…Show lessIn this workshop, get hands-on experience with Amazon Aurora DSQL, a serverless distributed SQL database that delivers active-active high availability. Learn how to build a retail rewards points application with active-active resiliency across multiple Availability Zones and two Regions. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | builders session | Create an intelligent banking agent using Aurora DSQL & MCP as AWS Model Context Protocol (MCP) enables AI agents to communicate with data systems to retrieve data and perform tasks. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | breakout | Deep dive into databases zero-ETL integrations as AWS In this session, learn how AWS zero-ETL integrations remove the need to manage complex data movement pipelines across multiple source database engines and…Show lessIn this session, learn how AWS zero-ETL integrations remove the need to manage complex data movement pipelines across multiple source database engines and targets so data engineers, architects, & DBAs can eliminate maintenance overhead while ensuring near real-time data availability for analytics & ML workloads. | Video |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | workshop | SQL Server migration & modernization powered by generative AI as AWS In this workshop, discover a comprehensive migration and modernization experience that guides you through the process of migrating your SQL Server database and…Show lessIn this workshop, discover a comprehensive migration and modernization experience that guides you through the process of migrating your SQL Server database and application-associated embedded SQL code to PostgreSQL. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | Deep dive into Amazon DynamoDB zero-ETL integrations as AWS Amazon DynamoDB is a serverless, NoSQL, fully managed database with single-digit millisecond performance at any scale. DynamoDB lends itself to easy integration…Show lessAmazon DynamoDB is a serverless, NoSQL, fully managed database with single-digit millisecond performance at any scale. DynamoDB lends itself to easy integration with several other AWS services. | Video |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | workshop | Modernize your database using AWS DMS Schema Conversion with gen AI as AWS In this workshop, learn how you can use the power of generative AI integrated with AWS Database Migration Service (AWS DMS) Schema Conversion to securely…Show lessIn this workshop, learn how you can use the power of generative AI integrated with AWS Database Migration Service (AWS DMS) Schema Conversion to securely convert, migrate, and continually replicate a database to AWS. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Arjan Schaaf | 3 | 1 | 2026 |
| Eric Kraemer | 3 | 1 | 2026 |
| Varma Gottumukkala | 3 | 1 | 2026 |
| Aaron Chen | 3 | — | 2026 |
| Aaron Sempf | 3 | — | 2026 |
| Aarthi Raju | 3 | — | 2026 |
| Abbas Mooraj | 3 | — | 2026 |
| Abhijeet Jangam | 3 | — | 2026 |
| Abhishek Pandey | 3 | — | 2026 |
| Abhishek Sharma | 3 | — | 2026 |
| Abhishek Srivastav | 3 | — | 2026 |
| Abilashkumar P C | 3 | — | 2026 |
| Adam Hill | 3 | — | 2026 |
| Adam Richter | 3 | — | 2026 |
| Addy Upreti | 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.