Senior Data Engineer, Camgian
Jul, 2023 - Present
Lead strategic technical initiatives focused on scaling data platforms and optimizing system performance. Drive innovation in real-time data processing while mentoring teams and establishing best practices. Consistently deliver solutions that enhance operational efficiency and create measurable business value.
Spearheaded the architecture and development of a global analytics platform serving 60+ industrial assets, enabling real-time operational insights and improving fleet management efficiency
Pioneered fault-tolerant data processing architecture that reduced system latency by 50% while processing 15M+ daily records across 2.9K+ industrial assets
Collaborated on cost optimization initiatives resulting in 40% reduction in monthly cloud expenses through strategic resource allocation and monitoring implementation
Recognized as a subject matter expert in the team, demonstrating profound expertise in Data Engineering and System Architecture Design, contributing to team success and competence
Inducted into the IT Trusted Partner Program, designated as the go-to individual for the Data Science team to assist the IT team with general administrative tasks, installing software, and ensuring seamless support and operational efficiency for the team and clients
Orchestrated storage optimization design to achieve 70% improvement in efficiency, managing 60K+ time-series tables while ensuring compliance and accessibility
Boosted Kafka throughput by 300% by scaling a self-managed KRaft cluster, improving disaster recovery and real-time processing capabilities
Developed and implemented comprehensive load testing strategies, resulting in 20% increased system throughput and enhanced product reliability
Created standardized development frameworks and libraries, improving team velocity and reducing implementation errors across multiple projects
Successfully delivered multiple high-impact client solutions, securing new contracts including an $8M U.S. Army project
Designed and implemented Change Data Capture (CDC) architecture enabling near real-time insights for time-sensitive operations
Led cross-functional initiatives to streamline development workflows, resulting in improved code quality and reduced time-to-market