Parul Saxena
Employers on the program
- 2022–2026Amazon Web Services3 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 | chalk talk | Apache Iceberg V3 on AWS: Lower Costs, Better Lakehouse Performance as Amazon Web Services Apache Iceberg V3 is now production-ready, and adopting deletion vectors, row lineage, and new data types across your lakehouse requires careful planning. In…Show lessApache Iceberg V3 is now production-ready, and adopting deletion vectors, row lineage, and new data types across your lakehouse requires careful planning. In this session, explore implementation patterns using Amazon EMR, AWS Glue, Amazon Athena, and Amazon S3 Tables. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | chalk talk | Optimize Apache Spark workloads with Amazon EMR Serverless [REPEAT] as Amazon Web Services Enterprises aim to build comprehensive data platforms that serve their Data Engineering divisions. Discover how the Amazon EMR runtime for Apache Spark, a…Show lessEnterprises aim to build comprehensive data platforms that serve their Data Engineering divisions. Discover how the Amazon EMR runtime for Apache Spark, a performance-optimized runtime environment for Spark, delivers out-of-the-box peak performance with Amazon EMR Serverless. | |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | workshop | Using Apache Spark for data science and ML workflows with Amazon EMR as AWS Amazon SageMaker Studio is the first fully integrated development environment (IDE) for ML. Analyzing, transforming, and preparing large amounts of data is a…Show lessAmazon SageMaker Studio is the first fully integrated development environment (IDE) for ML. Analyzing, transforming, and preparing large amounts of data is a foundational step in any data science or ML workflow. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Aaron Sempf | 3 | — | 2026 |
| Aarthi Raju | 3 | — | 2026 |
| Abbas Mooraj | 3 | — | 2026 |
| Abhinav Sarin | 3 | — | 2026 |
| Abhisheikh Lahoti | 3 | — | 2026 |
| Abhishek Nautiyal | 3 | — | 2026 |
| Abhishek Srivastav | 3 | — | 2026 |
| Adam Hill | 3 | — | 2026 |
| Adam Palmer | 3 | — | 2026 |
| Aditya Samant | 3 | — | 2026 |
| Adnan Bilwani | 3 | — | 2026 |
| Ahuva Hazan-Fuchs | 3 | — | 2026 |
| Alexander Dragunov | 3 | — | 2026 |
| Ali Alemi | 3 | — | 2026 |
| Ali Saidi | 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.