Real-Time Fraud Detection Pipelines
How to build real-time fraud detection pipelines using Kafka streaming, DBT for pattern detection, and Cube.js for metrics. Production architecture achieving 15% fraud reduction.
Read moreI've spent 10+ years building the data infrastructure that powers multi-billion dollar companies. Now I help growth companies build the same enterprise-grade systems—without the enterprise overhead.
Throughout my career, I've built platforms that process over 1 billion events per day, led teams of 10+ engineers, and designed cloud-native data architectures for some of the world's most demanding luxury brands and financial institutions. I've seen what works at scale—and what doesn't.
I've also founded production AI companies, including Nestorchat, my suite of 4 live AI assistants with real-time voice processing. I believe in building, not just advising. Every system I design is built to actually work in production, not fail at scale.
Today, I'm based in Dubai and work with select growth companies who need enterprise-scale systems but can't afford enterprise timelines. I limit myself to 3-4 projects per year to ensure exceptional quality and deep involvement in each engagement.
I've built systems at billion-event scale. I know what it takes to go from prototype to production—and I build that in from day one.

Abdelkader Bekhti
Founder | Production AI & Data Architect
Technical deep-dives on building production-ready AI and data systems at scale. Real-world lessons from billion-event platforms and production ML deployments.
How to build real-time fraud detection pipelines using Kafka streaming, DBT for pattern detection, and Cube.js for metrics. Production architecture achieving 15% fraud reduction.
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