Summary
Matthew D is a Data Engineer (L5) with 11 years of multidisciplinary experience building large-scale data platforms and turning complex telemetry into actionable insights. Currently at Netflix after leading data engineering and people development at Singularity 6, he has architected hybrid streaming and batch ecosystems that handle hundreds of GBs per day across hundreds of events using Rust microservices, Kafka, S3, Airflow, and Databricks. His background in aerospace and mechanical engineering informs a pragmatic, systems-level approach—previous roles at Boeing produced multi-million-dollar operational improvements from terabytes of time-series data. He pairs hands-on pipeline and platform design (Spark, Scala, Python, CI/CD) with empathetic stakeholder collaboration to deliver trustworthy data products for engineers, data scientists, and business teams. Known for blending technical rigor with human-centered perspective, he believes truth and empathy together make data more useful and teams more effective. Outside of work he values board games and family time, a reminder that connection underpins his approach to data and engineering.
11 years of coding experience
15 years of employment as a software developer
University of California, San Diego
University of California, Los Angeles