Data Conference Databasea Query.Farm index
Speakers

Jack Ye

Employers on the program

  1. 2025–2026LanceDB2 talks
  2. 2022–2024Amazon Web Services3 talks
Events6
Conferences4
Talks6
Years active2022–2026
Miles between events1,7765 in-person events · 1 country

Appearances by year

201920202021202220232024202520262027
  • AWS re:Invent
  • Iceberg Summit
  • Data Engineering Open Forum
  • PyData

Talks

DateEventConferenceRoleTitleLinks
Apr 16, 2026Data Engineering Open Forum 2026Data Engineering Open ForumspeakerPowering Netflix's Multimodal Feature Engineering at Scale
as LanceDB
Video
Nov 7, 2025PyData Seattle 2025PyDataspeakerSupercharging Multimodal Feature Engineering with Lance and Ray
as LanceDB
Efficient feature engineering is key to unlocking modern multimodal AI workloads. In this talk, we’ll dive deep into how Lance - an open-source format with…Show less

Efficient feature engineering is key to unlocking modern multimodal AI workloads. In this talk, we’ll dive deep into how Lance - an open-source format with built-in indexing, random access, and data evolution - works seamlessly with Ray’s distributed compute and UDF capabilities.

Video
Apr 8, 2025Iceberg Summit 2025Iceberg SummitspeakerMulti-Table Multi-Statement Transaction with Apache IcebergVideo
Dec 2, 2024AWS re:Invent 2024AWS re:Inventchalk talkOpen source tools for data-driven innovation on Amazon S3
as AWS
Explore open source tools that make it easier to innovate with your data on Amazon S3. Through whiteboarding examples, this chalk talk offers insights into…Show less

Explore open source tools that make it easier to innovate with your data on Amazon S3. Through whiteboarding examples, this chalk talk offers insights into integrating open source implementations like Apache Hadoop S3A and Apache Iceberg S3FileIO with applications and data pipelines.

May 14, 2024Iceberg Summit 2024Iceberg SummitpanelistKeynote Panel: Unpacking Iceberg Catalogs
as Amazon Web Services (AWS)
Video
Nov 28, 2022AWS re:Invent 2022AWS re:Inventchalk talkBuild transactional data lakes using open-table formats in Amazon Athena
as Amazon Web Services
Transactional data lakes are gaining popularity in modern data platforms as they enable a variety of new use cases such as CDC and GDPR that were previously…Show less

Transactional data lakes are gaining popularity in modern data platforms as they enable a variety of new use cases such as CDC and GDPR that were previously difficult and time-consuming to achieve in a read-centric data lake. Amazon Athena supports open-table formats like Apache Iceberg and Apache Hudi that allow customers to combine transactional capabilities with the flexibility of Amazon S3...

Slides

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Saurabh Garg3—2025
Russell Spitzer212025
Harel Shein2—2026
Julien Le Dem2—2026
Ankit Singh2—2025
Chao Sun2—2025
Daniel Chen2—2025
Fokko Driesprong2—2025
Huaxin Gao2—2025
JB Onofré2—2025
Kevin Liu2—2025
Matt Topol2—2025
Ryan Blue2—2025
Szehon Ho2—2025
Weston Pace2—2025

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.