Data & AI platform engineering · Charlotte, NC

Building the platforms behind enterprise analytics and AI.

Technology professional focused on data platforms, MCP server development, and AI tooling. Experience across insurance, healthcare, and genomics, with an emphasis on the infrastructure and developer tools behind enterprise analytics.

Focus

Data platforms and the tools to work with them.

MCP servers and AI infrastructure

Model Context Protocol servers connect AI assistants to enterprise data and development systems, with controlled access and shared context. Related tooling supports durable knowledge stores and automated code review.

Analytics platform engineering

Version control, testing, and deployment workflows bring software engineering practices to BI platforms, including Git-based development and CI/CD for Power BI semantic models.

Data engineering

Pipelines and warehouse models built with Snowflake, dbt, Microsoft Fabric, and Python support reporting and analysis across complex data environments.

Background

Technology across industries.

Experience spans enterprise analytics in insurance, healthcare data platforms, and computational genomics. Projects have included lakehouse modernization and high-performance computing pipelines for whole-genome sequencing analysis.

Academic background includes a master’s degree in bioinformatics, a bachelor’s degree in IT management, and co-authored genomics research.

Contact

Get in touch.

For professional inquiries, use email or connect on LinkedIn.

Email: adam.alexander@xqrsolutions.com