Data Conference Databasea Query.Farm index
Conferences / Data Engineering Open Forum

Data Engineering Open Forum 2026

Apr 16, 2026 · The Contemporary Jewish Museum, San Francisco, CA, United States

Conference
Data Engineering Open Forum Vendor & industry
Dates
Apr 16, 2026
Venue
The Contemporary Jewish Museum
Place
San Francisco, CA, United States
Format
In person
Status
Past
Attendance
500
Data Engineer Things recap (blog.dataengineerthings.org): 'around 500 data practitioners and leaders joined in person' (seen via search snippet; page blocks direct fetch).
Website
dataengineeringopenforum.com
Recorded
14 sponsors · 25 speaker appearances
Notes
Third edition, first in San Francisco. Presented by the Data Engineer Things Bay Area Chapter (Luma page). Full agenda from DEOF past-events page. Michelle Ufford listed as 'Distinguished Architect, Data & AI' without company. Ticket price not stated (Luma registration closed).

Ticket prices

No ticket prices recorded

Sponsors 14

Speakers and talks 25

SpeakerCompanyRoleTalkLinks
Indrajit RoyDatabricksKeynoteThe Evolution of Structured Streaming: How Apache Spark Innovated on Throughput, Latency, and FlexibilityVideo
Jerry WangAirbnbKeynoteThe Data Odyssey: A 15-Year Voyage from Pipelines to Sovereignty across Big TechVideo
Laura PruittNetflixKeynoteFrontiers of Data: The Future of Data Engineering in an AI WorldVideo
Michelle Ufford—KeynoteFrontiers of Data: The Future of Data Engineering in an AI WorldVideo
Paul EllwoodOpenAIKeynoteFrontiers of Data: The Future of Data Engineering in an AI WorldVideo
Vikram KokaAstronomerKeynoteFrontiers of Data: The Future of Data Engineering in an AI WorldVideo
Andreas NeumannDatabricksSpeakerFrom Repetition to Reuse: The Evolution of Apache Spark Declarative PipelinesVideo
Barak AlonAirbnbSpeakerLightning Talks: MinervaSQL - Lessons Building a Full-fledged SQL interface for a Semantic LayerVideo
Bonnie XuOpenAISpeakerInside OpenAI's Internal AI Data AgentVideo
Booker GongMetaSpeakerLightning Talks: From Idea to Production: E2E Traceability for ML Innovation—
Dan ShettySpotifySpeakerLightning Talks: Data Lineage in 2026: From Compliance Checkbox to Critical Platform Investment—
Dinesh ThangarajuAmazon Web ServicesSpeakerBreaking Down Data Silos: Building Federated Knowledge Infrastructure for Enterprise Agentic AI—
Drasko ProfirovicPinterestSpeakerLightning Talks: SparkMedic: First Aid for Failing JobsVideo
Goutham BudatiThe Farmer's DogPanelistData, Perspective, Action: Why Most Data Engineering Teams Fail at the 'Perspective' PartVideo
Harel SheinDatadogSpeakerLightning Talks: Lessons from building a data observability product with OpenLineageVideo
Himanshi MangluniaAmazon Web ServicesSpeakerLightning Talks: From Manual to Magical: Building AI Agents for ETL AutomationVideo
Jack YeLanceDBSpeakerPowering Netflix's Multimodal Feature Engineering at ScaleVideo
Jerry PengDatabricksSpeakerApache Spark: Structured Streaming Real-Time ModeVideo
Julien Le DemDatadogSpeakerColumn storage for the AI eraVideo
Mick DreelingNetflixPanelistData, Perspective, Action: Why Most Data Engineering Teams Fail at the 'Perspective' PartVideo
Monisha KanothApplePanelistData, Perspective, Action: Why Most Data Engineering Teams Fail at the 'Perspective' PartVideo
Pablo DelgadoNetflixSpeakerPowering Netflix's Multimodal Feature Engineering at ScaleVideo
Shridhar IyerMetaPanelistData, Perspective, Action: Why Most Data Engineering Teams Fail at the 'Perspective' PartVideo
Volker JanzAstronomerSpeakerOrchestrating LLM Inference with Apache AirflowVideo
Yuankai ShenVeloDBSpeakerBeyond Vectors: How Apache Doris Brings Hybrid Search and Real-Time Analytics to Context EngineeringVideo

Sources