I am a former CFO and U.S. Navy (Nuclear Power) veteran with over 15 years of experience architecting financial operations and leading multi-entity organizations. I am now making a deliberate, hands-on pivot to a career in data, with a long-term goal of becoming a Data Engineer.

My unique value proposition is the ability to bridge the gap between high-level business strategy and ground-level technical execution. I don't just analyze the data; I understand how to build the systems that produce it and translate the results into actionable business insights.

I am currently deepening my technical toolkit to complement my deep background in finance and systems architecture. My primary focus is on:

• Data Engineering Fundamentals: Building robust ETL pipelines, data modeling, and working with cloud data platforms.
• Advanced Analytics & Visualization: Using Python, SQL, and BI tools to uncover insights and tell compelling stories with data.
• Cloud Technologies: Currently enrolled in the Google Data Analytics Certificate, with a focus on BigQuery and related GCP tools.

Below are highlights from my portfolio. Each project is documented as a business case study, detailing the problem, the process, and the quantified outcome.

• Project 1: The Architecture Story - ERP Implementation
  • Description: A case study on leading a ground-up NetSuite ERP implementation that reduced the month-end close by 71% and saved over $150k annually.
  • Tags: Systems Architecture, Process Automation, Financial Controls, NetSuite
• Project 2: The Insight Story - Executive KPI Dashboard
  • Description: A walkthrough of designing and building a consolidated KPI dashboard that improved sales forecast accuracy by 30% for executive leadership.
  • Tags: Business Intelligence, Data Visualization, Power BI, FP&A
• Project 3: The Automation Story - SQL for SaaS Revenue Analysis
  • Description: A technical breakdown of how custom SQL queries automated revenue analysis, saving over 20 hours of manual work per month and ensuring SOX compliance.
  • Tags: Data Analysis, Automation, SQL, FinTech

Core Languages: Python, SQL Databases: Oracle (experience), BigQuery (learning), PostgreSQL BI & Visualization: Power BI, Tableau, Excel (Advanced, Power Query) Cloud: Google Cloud Platform (GCP) ERP Systems: NetSuite (Architect/Implementer), SAP/Oracle (User)

The ability to communicate complex data topics is as important as the technical skill itself. I produce articles and audio case studies to explore these ideas further.

Explore My Data Narratives & Content Portfolio