I build cloud data platforms and AI systems that help organizations see what's really happening in their financial data. Currently leading data engineering and analytics at a large Media & Entertainment conglomerate, where I design multi-ERP data lakehouses and audit analytics tools that have caught millions in corrections.
I'm a data engineering and analytics manager with 6+ years of experience building financial data platforms on AWS and Oracle Cloud. I hold a Masters in Data Science from Wake Forest and a BS in Chemical Engineering from Penn State. Before moving into data, I worked in M&A at a major petrochemical company. I currently lead a team at a large Media & Entertainment conglomerate.
My niche is the space where data engineering meets audit and financial analytics. I've built three production data platforms across two cloud providers, each designed to ingest multi-ERP financial data and surface the kinds of anomalies and misclassifications that traditional sampling-based audit would miss.
I'm now focused on integrating AI into this work: LLM-powered pipelines for risk prioritization, RAG systems over financial documents, and anomaly detection models running in production. The goal is always the same: designing analytics that live as close to the point of control as possible, so decisions get easier, not harder.
Built a structured data warehouse combining core ERP modules, Payroll, and T&E into one model, powering continuous monitoring and a unified risk view that catches misclassifications and timing anomalies traditional siloed audits would miss.
Revenue recognition pipeline tracing from sales order to GL journal entry, identifying misclassification and timing issues that traditional audit sampling would miss.
Brought language-model tooling into production audit workflows to help prioritize risk and speed up review, alongside traditional analytics.
A large Media & Entertainment conglomerate
Leading a team of data scientists, BI analysts, and finance liaisons at a $15B media and information conglomerate. Architecting cloud-native data platforms on AWS and Oracle Cloud that power audit analytics, continuous monitoring, and AI-augmented risk analysis across multiple ERP systems.
AWS · Oracle Cloud
Built an enterprise analytics mart on Oracle ADW covering 100% of core ERP modules (GL, Journal Entries, AP, Payroll, T&E). Separately designed and built an AWS multi-ERP data lakehouse ingesting from NetSuite, Acumatica, and Sage Intacct for continuous monitoring and BI analytics.
Large Petrochemical Company
Worked on several large-scale acquisitions in the petrochemical sector, developing a foundation in financial analysis, due diligence, and understanding how complex organizations move capital. This experience informs how I think about financial data systems today.
Wake Forest University · Penn State
Masters in Data Science from Wake Forest grounded in applied statistics, machine learning, and data engineering. Undergraduate degree in Chemical Engineering from Penn State built the analytical rigor and systems thinking that carries through everything I build.
Portfolio · GitHub
Portfolio · In Progress
Blog
Working on something in audit analytics, financial data platforms, or AI implementation? I'd enjoy the conversation.