Zeotap

DATA & ANALYTICS · 14 months · 20 engineers

Customer data platform built to process 3B+ profiles at sub-second latency.

3 B+
customer profiles processed
94 +
improvement in identity match rate
100 %
pipeline availability

Challenge

Scaling a customer data platform to ingest, resolve, and activate billions of identity signals across global markets — with strict GDPR compliance and sub-second SLA requirements.

Solution

A high-throughput data ingestion and identity resolution layer built on Kafka and Flink, with a privacy-first architecture, real-time segmentation APIs, and a self-serve enrichment console for enterprise clients.

Result

Identity match rate improved by 94%. The platform now processes 3B+ profiles with 99.99% uptime, serving enterprise clients across 50+ countries.

BigQuery
Flink
Kafka
Kubernetes
Python