Ben Nusser

Built nightly reconciliation between internal delivery records and partner status APIs, reducing partner-reported delivery-status tickets from 35-40 to 4-5 per month. Engineered a PostgreSQL-backed job state machine and decoupled partner integrations behind a common adapter interface, reducing manual reconciliation by over 10 hours per week and new-partner onboarding from three weeks to four days.

Built a real-time GCP transaction-analytics and feature-serving platform with Pub/Sub, Dataflow/Apache Beam, Bigtable, and BigQuery, sustaining 180,000+ events per second while cutting data availability from 8-12 hours to under 1.2 seconds. Separated online feature serving from analytical workloads and instrumented production monitoring with Cloud Monitoring and custom Beam counters.

Ran Java and SQL integrations for payroll and employee data consistency across systems for over 125,000 employees worldwide, maintaining zero downtime through high-volume payroll windows. Redesigned legacy PostgreSQL schemas and query plans, reducing compliance report runtime from about 10 minutes to 90 seconds.

Replaced spreadsheet-driven reporting and inventory workflows with internal Java, JavaScript, and SQL applications and REST integrations across core business systems.

Built frontend features and backend APIs for cloud-hosted SaaS products, covering debugging, performance work, and release validation across the stack.

Master of Science in Computer Science from the University of Colorado Boulder.

Bachelor of Science in Communications and Business from Western Oregon University.