Ethan Guo is a Software Engineer at Onehouse, working on building and optimizing the next generation of Lakehouse. He's an Apache Hudi committer, passionate about streaming processing and Lakehouse architecture. Previously, he was a Senior Software Engineer at Uber, building mobile observability and data pipelines for monitoring Uber's mobile network performance in production on a global scale.

Kunal Umrigar is an Engineering Leader with more than 14 years of experience designing big data platforms and distributed systems. He is a Sr. Engineering Manager at ThousandEyes, leads the alerts team to build stream processing pipelines that identify network anomalies in real-time. Prior to this, Kunal worked as Sr. Director, Engineering at PubMatic to build a big data platfom that processed petabytes of data to power and optimize ad serving algorithms. He is a data and ML enthusiast always thrilled to solve tough problems, build a high-performance team and deliver quality software.

Aansh is a Software Development Engineer at Amazon working on making Alexa smarter through enabling machine learning at scale.

Jeff Chao is a Staff Software Engineer and tech lead for the Change Data Capture infrastructure at Stripe. He is also a committer for the Debezium Vitess Connector. Previously, Jeff worked on streaming systems at Netflix and was a committer to Mantis, and operated Kafka as a service at Heroku.

Sharon has been building and maintaining data platforms for over 5 years. She is a founding engineer at Decodable and leads the core platform team. Before Decodable, Sharon worked at Splunk on another real-time data platform - Data Stream Processor. Before that she spent most of her time learning "new" UI libraries every year.

Jun Qin is a Solutions Architect at Ververica. Previously, he worked as a Technical Account Manager in MapR and as a senior system support programmer/analyst in Amadeus. He has a Ph.D. in computer science and specializes in distributed computing and system architecture.

Ron is a New Relic Fellow and Lead Architect for the Observability team at New Relic. In his almost 8 years at New Relic, he has overseen exponential growth in the amount of data New Relic processes on behalf of our customers. Prior to New Relic, Ron was a Fellow of the Technical Staff at Motorola where he was a key contributor and leader in the development of digital cellular technology through 4G. He is named as an inventor on over 35 issued patents.

Patrick Lucas is a co-founder of Atomic Wire, focusing on bringing Stream Processing to financial services. Previously, he was Senior Data Engineer at Ververica, developing Ververica Platform, and Software Engineer and Engineering Manager in infrastructure and operations at Yelp.

Caito is a developer advocate for the stream processing engine, Apache Flink. Previously she was a software engineer working with data analytics. When she's not geeking out about tech, she does woodworking/construction, dance & running.

Yupeng is a Principal Engineer at Uber and he leads Uber's Real-time Platform and Infrastructure. including multiple mission-critical services powered by several open-source technologies like Kafka/Flink/Pinot.

Kyle Weller has been on the front lines of the Lakehouse architecture for the last 3 years as a Product lead for Azure Databricks and now Head of Product at Onehouse.ai. Kyle has seen how hard it is for data engineers to build DIY data lakes so he is now building a managed Lakehouse foundation on top of Apache Hudi at Onehouse. Kyle has 9 yrs experience building data products and data engineering platforms across global cloud services like Azure Databricks, Azure ML, Cortana, Bing, and Office. Outside of work Kyle volunteers as an entrepreneurship coach for formerly incarcerated individuals.

Xiang is currently a software engineer on the streaming team at Stripe, working on creating a stream compute platform. Prior to Stripe, Xiang worked at LinkedIn, Google and AWS on various types of systems, including critical infrastructures for LinkedIn's profile and feed experiences, transactional systems for Google's supply chain organization, and network monitoring infrastructure for EC2 networking at AWS.

Gang works at Apple AI/ML Data infrastructure team. She focuses on building real time data ingestion service.

Mason is currently a Software Engineer in Apple’s MLPT Stream Processing Platform. For the past few years, he has worked on scaling and growing Flink for various Apple use cases and for many event driven applications at Playstation. Mason grew up in the Bay Area and attended UC Berkeley where he studied computer science, statistics, and mathematics.

Ted is software engineer in the IBM Cognitive Open Technologies focusing on software development and performance. He has been contributing to Tensorflow and built community supported packages on the PPC64LE platform. Lately, he has been focusing on deep learning technology developing applications using Tensorflow.js and Node.js.