Leonardo Gomez
Employers on the program
- 2022–2025Amazon Web Services3 talks
Appearances by year
- AWS re:Invent
- Collibra Data Citizens
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Oct 16, 2025 | Data Citizens on the Road ’25: London | Collibra Data Citizens | panelist | A data ecosystem for AI: Your blueprint for success as AWS | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | Demystify and democratize access to your data with a business catalog as AWS Understanding your data in context means that all users can discover and comprehend the meaning of their data so they can use it confidently to drive business…Show lessUnderstanding your data in context means that all users can discover and comprehend the meaning of their data so they can use it confidently to drive business value. | Video |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | lightning talk | How to build a business catalog with Amazon DataZoneIt is critical for organizations to effectively organize their data while ensuring the right access controls in order to drive timely discovery for increased…Show lessIt is critical for organizations to effectively organize their data while ensuring the right access controls in order to drive timely discovery for increased business value. | Video |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | breakout | Understand your data with business contextUnderstanding your data in context means that all users can discover and comprehend the meaning of their data so they can use it confidently to drive business…Show lessUnderstanding your data in context means that all users can discover and comprehend the meaning of their data so they can use it confidently to drive business value. | Video |
| 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 | — | 2024 |
| Aaron Sengstacken | 3 | — | 2024 |
| Abbas Mooraj | 3 | — | 2024 |
| Abhay Saxena | 3 | — | 2024 |
| Abhinav Jawadekar | 3 | — | 2024 |
| Abhisheikh Lahoti | 3 | — | 2024 |
| Abhishek Srivastav | 3 | — | 2024 |
| Adam Hill | 3 | — | 2024 |
| Adam Keller | 3 | — | 2024 |
| Adam Palmer | 3 | — | 2024 |
| Adam Seligman | 3 | — | 2024 |
| Adam Wagner | 3 | — | 2024 |
| Aditya Samant | 3 | — | 2024 |
| Adnan Bilwani | 3 | — | 2024 |
| Ahuva Hazan-Fuchs | 3 | — | 2024 |
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.