The Brightest Minds in Data Streaming

From practitioners and startup founders to industry thought leaders and technical executives, the Current 2025 speakers are gearing up to share valuable data streaming insights with you.

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Company Name

Sujay Jain

Netflix
Company Name

Pavan Keshavamurthy

Platformatory
Company Name

Satish Duggana

Uber
Company Name

Olena Kutsenko

Confluent
Company Name

Robin Moffatt

Confluent
Company Name

Dipankar Mazumdar

Onehouse
Company Name

Viktor Gamov

Confluent
Company Name

Adi Polak

Confluent
Company Name

Diptiman Raichaudhuri

Confluent
Company Name

Tom Bentley

Red Hat
Company Name

Neil Buesing

Kinetic Edge
Company Name

Sandon Jacobs

Confluent
Company Name

Robert Metzger

Decodable
Company Name

Gunnar Morling

Confluent
Company Name

David Anderson

Confluent
Company Name

Dave Klein

Imply
Company Name

Anna McDonald

Confluent
Company Name

Afzal Mazhar

Confluent
Organized by Confluent

Mike Araujo

Principle Engineer, Medidate Solutions

How do you make 10TB of data per hour accessible, scalable, and easy to integrate for multiple internal consumers? In this talk, we’ll share how we overcame storage throughput limitations by migrating to Kafka Streams and developing a unified template application. Our solution not only eliminated bottlenecks but also empowered internal clients to build reliable Kafka Streams applications in just a few clicks—focusing solely on business logic without worrying about infrastructure complexity. We’ll dive into our architecture, implementation strategies, and key optimizations, covering performance tuning, monitoring, and how our approach accelerates adoption across teams. Whether you're managing massive data pipelines or seeking to streamline access for diverse stakeholders, this session will provide practical insights into leveraging Kafka Streams for seamless, scalable data flow.

Speaking at
Unified CDC Ingestion and Processing with Apache Flink and Iceberg
Tuesday, May 20, 2025 | 5:30 PM - 6:15 PM
Links at
Hadar Federovsky
Akamai
Swaroop Oggu from Databricks as part of the Current Keynote
Hadar Federovsky
Akamai
Keynote
Now Streaming Live

Stream On: From Bottlenecks to Streamline with Kafka Streams Template

Tuesday, May 20, 2025
5:30 PM - 6:15 PM

How do you make 10TB of data per hour accessible, scalable, and easy to integrate for multiple internal consumers? In this talk, we’ll share how we overcame storage throughput limitations by migrating to Kafka Streams and developing a unified template application. Our solution not only eliminated bottlenecks but also empowered internal clients to build reliable Kafka Streams applications in just a few clicks—focusing solely on business logic without worrying about infrastructure complexity. We’ll dive into our architecture, implementation strategies, and key optimizations, covering performance tuning, monitoring, and how our approach accelerates adoption across teams. Whether you're managing massive data pipelines or seeking to streamline access for diverse stakeholders, this session will provide practical insights into leveraging Kafka Streams for seamless, scalable data flow.

Location
Breakout Room 6
Level
Intermediate
Audience
Data Engineer/Scientist, Developer, Executive (Technical)
Track
Apache Kafka