About Me
I am a Virginia-based software architect and engineering leader who builds scalable data and platform systems that drive real business impact. With 20+ years of experience, I design high-scale APIs, distributed systems, and metadata-driven data platforms across cloud and multi-database environments. I bring deep technical expertise in C#, .NET, SQL, Python, and cloud-native architectures, paired with proven leadership in owning architecture, guiding teams, and modernizing complex systems. I specialize in delivering solutions that process large-scale data, enable robust transformation pipelines, and improve efficiency and scalability. I don’t just contribute in complex environments—I step in and shape the direction of the entire platform and data ecosystem. If you’d like to connect or discuss opportunities, the best way to reach me is through LinkedIn.
Skills
I deliver high-impact software solutions at enterprise scale, backed by 20+ years of experience turning complex challenges into clean, scalable systems. My expertise spans modern application development, distributed systems, and AWS-based cloud architecture, with a focus on speed, reliability, and real-world results. I lead with strategy but stay close to execution—driving delivery while elevating engineering teams. Whether building platforms or modernizing them, I focus on outcomes that matter. If you need someone who can step in and move the needle fast, let’s talk.
Work
S&P Global Market Intelligence
Software Architect • October 2009 - Present
• Led product ownership and architecture of a high-scale OData Data API (~17M customer / 44M internal daily requests, including real-time and critical data delivery to clients), utilizing the Microsoft OData framework to scaffold a consistent and extensible API surface. Designed a metadata-driven, database-agnostic query and persistence engine spanning Oracle, PostgreSQL, SQL Server, and Elastic. Built a composable, Autofac-based pipeline architecture enabling flexible orchestration of query execution, transformation, and persistence across heterogeneous backends. Integrated document workflows across Amazon S3 and Alibaba OSS, with AI/LLM-powered pipelines for dynamic document classification and transformation. • Mentored engineering teams and championed modern software engineering and documentation practices aligned with business priorities, architectural governance, and long-term technology strategy with an emphasis on continual growth. • Led the design and delivery of enhancements and replacements for the company’s flagship platform using C#, MVVM, Prism, and Unity, creating a unified framework that accelerated internal content delivery. • Led cloud and container modernization that migrated key platform capabilities from on-premises infrastructure to AWS EC2 and Amazon EKS, improving scalability, resilience, and deployment flexibility through Docker, Kubernetes, and GitHub-based workflows. • Led a globally distributed team of 5 developers and 3 QA engineers, supporting 24/7 uptime and reliability of the Data API platform. Developed AI-enabled support and document processing solutions, including a RAG-based Tier 1 support agent leveraging Confluence knowledge and Power Automate workflows to streamline intake, triage, and resolution, reducing the operational load on the engineering team.
Education
Morehouse College
Bachelor's in Computer Science •