Hamza Khal

I’m a Staff Data Engineer with 10+ years of experience architecting and scaling distributed data platforms across fintech, healthcare, SaaS, telecom, and energy. I specialize in real-time streaming systems, cloud-native lakehouse architectures, and large-scale batch processing handling billions of events daily. I focus on governance, compliance, and high-availability distributed systems while delivering measurable reliability and cost optimization.

I’ve led enterprise platform modernization and engineering outcomes end-to-end—architecting multi-region AWS and Azure lakehouse platforms processing 8B+ transactions and IoT events daily, and designing Kafka + Flink event-driven streaming for sub-second fraud detection. At Consensus, I led an on-prem Hadoop to Databricks Lakehouse migration reducing infrastructure costs by $2.4M annually, built a disaster recovery framework achieving 99.99% SLA across mission-critical workloads, and implemented data mesh governance across 14 domains to improve ownership and compliance. I’ve also optimized Spark workloads improving performance by 60% and enabled self-service analytics for 200+ analysts and ML engineers—building the kind of AI-ready data foundation I’m proud to own.