About
I work at the intersection of data, finance, and operations, building trust layers for financial systems. My focus is turning messy and inconsistent information into governed pipelines, validation controls, and reconciliation workflows so numbers are accurate, explainable, and usable with confidence.
In regulated environments, data is not just a reporting artifact. It drives capital decisions, risk exposure, and regulatory outcomes. Much of my work is about defining what data should mean across many upstream systems, then building the checks and monitoring that keep those definitions true in production.
I work closely with finance, risk, product, and engineering teams to translate business questions into data models and analytics ready datasets that leadership can rely on. Whether I am resolving reconciliation breaks across millions of rows or stabilizing a fraud risk pipeline, the goal is always the same to make data something people trust.
Core strengths
Financial data controls
I design and operate validation, reconciliation, and exception workflows that catch issues early and prevent bad data from flowing into reporting, models, and regulatory outputs.
Analytics ready datasets
I build datasets with clear definitions, consistent metrics, and documented logic so finance and operations teams can answer questions without debating what the numbers mean.
Cross team execution
I work across product, finance, risk, and engineering to turn ambiguous business problems into production grade data systems that actually get used.
Resume
View inline or download as PDF
If the PDF does not render in your browser, use Download PDF