Resume
A quick recruiter-facing snapshot of where I fit best, what I build, and where to go next before opening the full PDF.
Best-fit roles
- Data Engineer
- Analytics Engineer
- Business Intelligence Engineer
- AI / data workflow roles with a strong pipeline or decision-support component
Data Engineering
- Designed and maintained data pipelines using Python, SQL, and AWS-flavored tooling.
- Built automated workflows and reporting layers for large operational and membership datasets.
- Created data models for segmentation, retention, KPI tracking, and recurring decision support.
- Focused on reliability, metric consistency, and reducing manual reporting friction.
Analytics & Decision Support
- Built dashboards and analytics products used to monitor performance, engagement, and operational trends.
- Translated ambiguous stakeholder questions into clearer KPI systems and reporting structures.
- Worked comfortably between technical implementation and executive-facing communication.
- Strong experience with Tableau, SQL reporting, and custom visualization work.
AI / Workflow Systems
- Built RAG-style retrieval systems, text-processing workflows, and AI-assisted automation pipelines.
- Connected model outputs back to operational questions rather than treating ML as notebook-only work.
- Comfortable with document workflows, embeddings, monitoring, and end-to-end proof-of-concept systems.
- Interested in the overlap between data engineering, applied AI, and decision-support tooling.
For the full chronology and latest details, download the PDF version of my resume.
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