Data Engineer with hands-on experience building ETL/ELT pipelines, cloud data warehouses, and scalable SQL-based data models — turning raw data into reliable, production-ready pipelines that power analytics and decision-making.
I'm a Data Engineer with experience building ETL/ELT pipelines, designing data warehouse schemas, and writing advanced SQL to move data reliably from source systems into analytics-ready models. I've worked with real clients — including a winery in Virginia — designing data pipelines and warehouse structures that powered KPI tracking and self-service reporting stakeholders actually use.
I hold a Master's in Data Analytics Engineering from George Mason University and I'm actively seeking a full-time Data Engineer role where I can build reliable data infrastructure that drives meaningful business impact.
Most recently, I've extended this engineering foundation into AI — building an end-to-end Retrieval-Augmented Generation (RAG) pipeline with hybrid search and reranking, and integrating AI-powered insights (Key Influencers, Smart Narrative) directly into downstream Power BI dashboards to help stakeholders act faster on the data.
I'm actively seeking full-time opportunities. If you're looking for a data engineer who's passionate about building reliable pipelines and data systems that drive business impact, let's talk.