Chinmayi Narasimhadevara
Employers on the program
- 2024–2026Amazon Web Services3 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
- Real-time agentic architecture on AWS: from batch to real-time AI chalk talk 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 | chalk talk | Real-time agentic architecture on AWS: from batch to real-time AI as Amazon Web Services Batch jobs and cron schedules fail silently and delay agentic AI outcomes: a missed run, a stuck lock, or a partial write goes unnoticed, adding lag between the…Show lessBatch jobs and cron schedules fail silently and delay agentic AI outcomes: a missed run, a stuck lock, or a partial write goes unnoticed, adding lag between the moment an event occurs and the moment an agent responds. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | chalk talk | Implement data pipelines for analytics using Amazon SageMaker Unified Studio as Amazon Web Services Breaking down data silos and unifying data across numerous data sources is a challenging task. AWS is changing the future of analytics with zero-ETL data…Show lessBreaking down data silos and unifying data across numerous data sources is a challenging task. AWS is changing the future of analytics with zero-ETL data integration and query federation across different sources, services, applications, and multi-cloud environments. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | Solving different data ingestion use cases with AWS as Amazon Web Services Ingesting data is typically the first step in building your data pipelines. | Video |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | chalk talk | Fast-track streaming ETL with AWS streaming data servicesOrganizations across industries are building streaming extract, transform, and load (ETL) applications to gain meaningful insights from their datasets.…Show lessOrganizations across industries are building streaming extract, transform, and load (ETL) applications to gain meaningful insights from their datasets. Stream-processing frameworks are evolving with a surge in demand for building streaming pipelines using serverless technologies. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Pratik Patel | 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 |
| Ahuva Hazan-Fuchs | 4 | — | 2026 |
| Alak Eswaradass | 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.