Senior Software Engineer focused on building scalable backend systems and data platforms that power analytics and AI-driven applications. I specialize in designing and operating production-grade solutions using Databricks, Apache Spark, Kafka, and cloud-native architectures across AWS and Azure, with a strong foundation in C# / .NET backend development.

I design and drive the evolution of end-to-end systems — from data ingestion and orchestration to backend services and internal tooling — improving reliability, performance, and data quality while enabling faster, more confident decision-making. My work spans data pipelines, platform architecture, and developer-facing tools, including building platforms that empower analysts and engineers to move faster.

I’ve contributed to and helped build both internal tools and production data workflows leveraging technologies like Prefect for orchestration, Grafana for observability, Retool for analyst-facing applications, and Kinetica to support data services and front-end platform experiences, alongside strong practices in documentation and execution using Confluence and Jira.

I integrate AI-assisted development into my workflow, using tools like Claude, ChatGPT, and GitHub Copilot to accelerate iteration, improve code quality, and solve complex problems more efficiently — while maintaining strong engineering fundamentals and production standards.

I’m particularly focused on driving technical direction, establishing engineering standards, and enabling teams to build and operate reliable software systems more effectively.