Sensitive data ends up in Apache Kafka topics more often than teams would like: cardholder details, PII, anything you don’t want fully exposed to every engineer with access. Chad Harris walks through data masking in Kpow, applying redaction rules on top of data inspection so sensitive fields stay protected without blocking teams from working with the topic.
Speaker
Solutions Architect, Factor House
Chad Harris is a Solutions Architect at Factor House, bringing 18 years of experience across software engineering, application architecture, and engineering leadership. He has deep hands-on expertise with Apache Kafka, high-volume transactional systems, and PCI-compliant architectures, most recently as an Engineering Leader at Block (formerly Square).
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