From Events to Action: Apache Flink's Real-Time Processing pipeline with Kafka and ClickHouse - DevAfterWork
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From Events to Action: Apache Flink's Real-Time Processing pipeline with Kafka and ClickHouse

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From Events to Action: Apache Flink's Real-Time Processing pipeline with Kafka and ClickHouse
Real time data processing with Java, Kafka and Flink

In today's data-driven world, the gap between event occurrence and decision-making determines business success. Discover how Apache Flink transforms raw event streams from Kafka into actionable intelligence, creating a seamless pipeline. Join us to learn how this powerful architecture enables real-time decision automation, turning streaming data into competitive advantage at enterprise scale.

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Eugeniu Cararus

Eugeniu Cararus / Speaker

Java Architect
EveryMatrix

As a Software Architect, my focus lies in designing comprehensive solutions for integrating global payment systems, KYC, security, multi-factor authentication, data streaming pipelines, and more. With proficiency in Java, Python, and Go, I specialize in working with various data aggregation platforms, ensuring seamless integration with client and third-party systems.
My approach is deeply rooted in understanding the technical requirements necessary for compliance with EU and USA fiscal and regulatory demands. Collaborating with teams of engineers worldwide, we deliver solutions that power our globally recognized brand.

I have a proven track record in managing complex projects, optimizing NoSQL databases, and utilizing cloud platforms like AWS, Google Cloud, and Azure. My proficiency extends to infrastructure tools such as Docker, Puppet, Ansible, Kubernetes, and HashiCorp products, enabling the creation of scalable and efficient systems.
I am eager to connect with professionals and organizations interested in cutting-edge software architecture, distributed systems, and innovative tech solutions.