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Webinar

Streaming at Scale: Unity’s Flink & Paimon Data Platform

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Streaming at Scale Unity’s Flink & Paimon Data Platform

At Unity, real-time data operates at a large scale. To support this, the team created Flair, a SQL-first data platform that runs Apache Flink® in production and processes over one trillion events each day.

 

In this session, you’ll get an inside look at how Unity made Flink easier to adopt across the company. They built a shared streaming platform, standardized data pipelines, and combined streaming and batch processing using Apache Paimon as their lakehouse storage layer.

 

What you’ll learn:

  • How Unity runs Apache Flink® at trillion-event scale
  • How a SQL-first platform accelerates Flink adoption
  • How Apache Paimon unifies streaming and batch workloads
  • Lessons learned from operating Flink in production

Giannis Polyzos

giannis_polyzos

Speaker

Giannis Polyzos is a Principal Streaming Architect working on large-scale data infrastructure and real-time systems. He has designed and operated streaming platforms used in production by high-scale organizations. He is a PPMC member of Apache Fluss and has been deeply involved in Apache Flink and the broader streaming ecosystem. His work focuses on unifying batch and streaming architectures, simplifying data primitives, and enabling streaming analytics and stateful workloads at scale.

Asaf Sneh

asaf_sneh

Speaker

Asaf is a Staff Data Engineer at Unity, specializing in large-scale data infrastructure and architecture design. He has extensive experience building and operating high-throughput streaming and batch data pipelines, with a strong focus on reliability, scalability, and efficient data processing across cloud-native platforms.

Nikolay Volik

nikolay_volik

Speaker

Software engineer with experience in data engineering and backend systems.

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Platform: Zoom
Timezones: 19:00 CET
Date: Tuesday, 17 February 2026