Moiz Rahib

I’m a results-driven Software Engineer with 6+ years of experience designing and building enterprise-scale systems across distributed data platforms, real-time analytics, and cloud-native architectures. I specialize in Apache Spark, semantic modeling, OLAP technologies, and query optimization that turns massive datasets into fast, reliable user experiences.

As a Module Lead Software Engineer at Kyvos Insights (Apr 2022 – Present), I led the implementation of a real-time data ingestion platform using Kafka and Apache Spark Streaming, reducing data freshness SLAs from 4 hours to 15 minutes. I also spearheaded CI/CD automation with GitLab pipelines, increasing release velocity by 40% and reducing production incidents by 55%.

On the performance side, I architected distributed query engine optimizations that cut dashboard load times from 8.2 seconds to 2.4 seconds for enterprise BI workloads. I designed and deployed semantic layers for OLAP cubes, enabling sub-second query execution across datasets exceeding 50+ billion rows, while directing technical execution for a team of 13 engineers supporting 100+ TB datasets.

Previously at Amazon (Jun 2021 – Apr 2022), I engineered payment reconciliation microservices using Java, DynamoDB, and AWS services processing more than 2 million transactions daily. I optimized payment gateway APIs to reduce P99 latency from 450ms to 180ms, built automated monitoring and alerting with CloudWatch and Lambda, and helped maintain 99.95% service uptime across multiple global regions.