Vinoth Chandar
Employers on the program
- 2022–2026Onehouse9 talks
- 2020–2021Apache Hudi3 talks
- 2019Apache Software Foundation1 talk
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
- Open Source Data Summit
- Community Over Code (formerly ApacheCon)
- OpenXData
- PrestoCon
- AWS re:Invent
- Coalesce
- Data Council
- OSA CON (Open Source Analytics Conference)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Apr 29, 2026 | OpenXData 2026 (April) | OpenXData | keynote | From Lakehouse to Agent Infrastructure: Data Platforms for the Age of Autonomous AI as Onehouse The modern data platform has evolved through several architectural shifts. Warehouses optimized structured analytics. Data lakes unlocked scale and flexibility. | Video |
| Apr 29, 2026 | OpenXData 2026 (April) | OpenXData | panelist | Panel: Context Engineering is Just Data Engineering as Onehouse | Video |
| Nov 13, 2025 | Open Source Data Summit 2025 | Open Source Data Summit | keynote | The Open Efficiency Playbook: Why fast keeps your lakehouse open as Onehouse | Video |
| May 21, 2025 | OpenXData 2025 | OpenXData | keynote | Adopting a 'horses for courses' approach to building your data platform as Onehouse Today's data platforms too often start with an engine-first mindset, picking a compute engine and force-fitting data strategies around it. | |
| Oct 2, 2024 | Open Source Data Summit 2024 | Open Source Data Summit | keynote | The new normal: Unbundling your data platform with an open data lakehouse as Onehouse | Video |
| Nov 15, 2023 | Open Source Data Summit 2023 | Open Source Data Summit | keynote | Keynote: Paradigm shift: Why open source should now be the bedrock of every data strategy as Onehouse | Video |
| Nov 15, 2023 | Open Source Data Summit 2023 | Open Source Data Summit | panelist | Panel: The growing role of open source technology in today's data architectures as Onehouse | Video |
| Oct 17, 2022 | Coalesce 2022 New Orleans | Coalesce | speaker | Petabyte-scale lakehouses with dbt and Apache Hudi as Onehouse While the data lakehouse architecture offers many inherent benefits, it’s still relatively new to the dbt community, which creates hurdles to adoption. | Video |
| Mar 23, 2022 | Data Council Austin 2022 | Data Council | talk | Lakehouse or Warehouse - Where Should You Live? Warehouse & lakehouse as Onehouse | |
| Nov 2, 2021 | OSA CON 2021 | OSA CON (Open Source Analytics Conference) | panelist | Open Data Lakes with Presto, Apache Hudi & AWS Glue and S3 – The Next Generation of Analytics as Apache Hudi | |
| Sep 21, 2021 | ApacheCon @Home 2021 | Community Over Code (formerly ApacheCon) | speaker | Apache Hudi : The Data Lake Platform | Video |
| Mar 24, 2021 | PrestoCon Day 2021 | PrestoCon | speaker | The Presto Ecosystem as Apache Hudi | |
| Sep 24, 2020 | PrestoCon 2020 | PrestoCon | panelist | Panel Discussion: The Presto Ecosystem as Apache Hudi In this panel, leaders from the open source data community will talk about the disaggregated analytics stack with Apache Superset, Apache Hudi, Apache Pinot &…Show lessIn this panel, leaders from the open source data community will talk about the disaggregated analytics stack with Apache Superset, Apache Hudi, Apache Pinot & Presto, the problems that each of these important projects solve and how they are better together. | |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | breakout | Insert, upsert, and delete data in Amazon S3 using Amazon EMR as Apache Software Foundation Building data lakes in Amazon S3 offers scale and reliability for open-source data formats and a common data store for both reporting and BI as well as big data…Show lessBuilding data lakes in Amazon S3 offers scale and reliability for open-source data formats and a common data store for both reporting and BI as well as big data analytics and ML/AI. However, most commonly used big data frameworks make customers reinstate large volumes of data for handling incremental changes in individual records. | SlidesVideo |
| Sep 9, 2019 | ApacheCon North America 2019 | Community Over Code (formerly ApacheCon) | speaker | Apache Hudi (Incubating) : the past, present and future of efficient data lake architectures |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Maxime Beauchemin | 6 | 2 | 2026 |
| Dipti Borkar | 4 | 3 | 2025 |
| Kyle Weller | 4 | — | 2026 |
| Tim Meehan | 4 | — | 2026 |
| Balaji Varadarajan | 3 | 1 | 2024 |
| Justin Borgman | 3 | 1 | 2023 |
| Roy Hasson | 3 | 1 | 2021 |
| Amy Chen | 3 | — | 2025 |
| Shirshanka Das | 3 | — | 2024 |
| Girish Baliga | 3 | — | 2023 |
| Ryan Blue | 3 | — | 2022 |
| Kishore Gopalakrishna | 2 | 2 | 2021 |
| Aditi Pandit | 2 | — | 2026 |
| Chang She | 2 | — | 2026 |
| Dipankar Mazumdar | 2 | — | 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.