John Wesley Subas

Background

About John Wesley Subas

I specialize in solving the most complex performance and reliability challenges in large-scale data engineering and distributed computing systems. My core strength is deep, first-principles problem solving to diagnose and eliminate production bottlenecks in big data pipelines, ETL workflows, and high-throughput distributed platforms. I’ve delivered measurable impact in mission-critical environments. For example, I identified and resolved a subtle Apache Spark optimizer issue in a production pipeline, transforming it from a recurring failure into a stable, high-performance process. In another project, I re-architected a legacy data pipeline processing over 200 billion records, improving performance by 60% while increasing reliability. My foundation comes from systems-level engineering at Cisco, where I debugged complex C/C++ memory leaks and performance issues. This background allows me to go beyond the application layer, understanding how modern platforms like Spark, Hadoop, and cloud-native data services work from the ground up — ensuring solutions are not only fast, but fundamentally robust. I approach engineering with the same precision I use in chess — where I hold a chess.com puzzle rating — analyzing complex systems, ruling out flawed paths, and committing to the optimal solution. As a youth soccer coach, I’ve honed leadership, communication, and team-building skills, enabling me to lead cross-functional teams with clarity and purpose.