Senior Software & Distributed Systems Engineer building resilient commercial and scientific backend services with Python, AWS, Kafka, and Spark.
Explore My ExperienceI deliver mission-ready backend systems for NASA and NOAA, focusing on large-scale data processing, automation, and operational reliability. My work connects distributed sources and builds software that can run securely and dependably in production.
Built ETL workflows that processed over 10M telemetry records, driving automation and improved mission analysis.
Created Python tools that reduced manual validation by 6 hours weekly, freeing engineers to focus on high-value work.
Introduced code review and DevOps practices that cut post-release defects and downtime by 20%.
Backend services, automation, systems integration
Cloud deployment, Docker, CI/CD, operational tooling
Kafka, Spark, event-driven design, SOA
SQL, ETL, data validation, large-scale processing
Driving backend architecture and data pipeline development for aerospace software.
Delivered event-driven processing systems and supported cloud migration planning.
Mentored students and reviewed engineering work across Python and systems development.
Ready to collaborate on engineering systems that scale for science and aerospace. Reach out via email or LinkedIn.