Resume

Erich Donahue

Decision Science Product & Data Platform Leader

I build decision tools: forecasting workflows, dashboards, pipelines, and practical data products that turn messy signals into clearer choices.

Decision-science product and data-platform leader with 15+ years across The Walt Disney Company and Capital One, spanning resort demand forecasting, digital product analytics, payments, lending, and regulated financial services. I modernize legacy analytical systems into maintainable Python, SQL, cloud, CI/CD, and BI workflows that improve data freshness, reliability, adoption, and decision speed.

Orlando, FL area

Current
Disney Experiences decision science
Previously
Capital One analytics leadership
Core stack
Python, SQL, Snowflake, Oracle, Tableau
Base
Orlando, FL area
SIDE A

Professional Work

Senior Decision Science Product Consultant

Sep 2024 – Present

The Walt Disney Company — Disney Parks & Resorts / Disney Experiences

  • Support and help maintain the data-product backbone for resort demand forecasting, dashboards, analytics, and internal reporting, serving 50+ internal users across three teams.
  • Led a year-long modernization that retired all 58 legacy SAS jobs and the supporting SAS server footprint, replacing its compute, messaging, storage, and scheduling needs with modern cloud services.
  • Built the replacement architecture on Python-based GitLab CI/CD pipelines integrated with Snowflake, Oracle, Tableau, Docker, and Linux; just-in-time pipeline triggering and automated Tableau deployment improved data freshness and got data to users sooner.
  • Maintain and enhance 60+ Tableau dashboards spanning mixed analytical and reporting use cases.
  • Provide technical enablement, triage, training, and troubleshooting for internal users of a web-based forecasting application and its surrounding data products.
  • Use AI-assisted development tools — Cursor, Claude Code, Codex, GitHub Copilot, and Microsoft Copilot — as human-reviewed acceleration for refactoring, documentation, test scaffolding, and delivery quality.

Analysis Manager

Jan 2019 – Sep 2024

Capital One — McLean, VA

  • Managed a team of six analysts supporting a 300+ person digital product organization of product managers, with pods of engineers, designers, and project managers.
  • Owned analytics delivery across feature launches, controls, monitoring, and executive and product reporting.
  • Established governance procedures for departmental analytic controls, scripts, recurring reports, and production-facing data assets.
  • Led standardization of API and clickstream data across GA4, Snowplow, Adobe Analytics, and Tealium.
  • Directed data pipelines for controls and executive reporting, and operations for the batch migration of 6M+ customers to a new money-movement platform vendor.
  • Built PySpark machine learning challenger models for rules-based systems and analyzed profitability, customer impact, and fee structures for digital features.
  • Hosted a 100+ person internal analytics community meetup.

Principal Data Analyst

Aug 2014 – Jan 2019

Capital One — McLean, VA

  • Built automated monitoring and alerting using Tableau, custom Python web apps, real-time Slack webhooks, Splunk, Kibana, Grafana, and Google Analytics.
  • Developed and taught full-day courses on Snowflake, Teradata, Hadoop/Hive, and AWS to 100+ data users; led a cloud migration of processes and terabytes of data.
  • Modeled legal liabilities for securities claims and valuation analytics under a Sarbanes-Oxley control framework.

Senior Data Analyst / Data Analyst

Nov 2010 – Aug 2014

Capital One — McLean, VA

  • Lead analyst for mortgage loss forecasting on a $200B+ portfolio; developed and validated SAS survival models on Linux.
  • Produced and validated inputs for OCC/FDIC regulatory exams, Federal Reserve stress tests, and public credit loss metrics.
  • Led replacement of a legacy database with a Third Normal Form relational model using Teradata SQL, SAS, and UNIX and supported the ING Direct acquisition integration.

Early Career — Branch Operations & Financial Services

2009 – 2010

Chevy Chase Bank, a Division of Capital One — La Plata, MD

  • Managed branch operations and staff through the Chevy Chase Bank to Capital One transition, including audit readiness, cash controls, and front-line customer operations.
SKILLS

Skills

Current hands-on

  • Python
  • SQL
  • Snowflake
  • Oracle
  • GitLab CI/CD
  • Docker
  • Linux
  • Git
  • Tableau
  • VS Code
  • Automated deployment
  • Documentation

Prior / working knowledge

  • AWS
  • Databricks
  • Teradata
  • Spark/PySpark
  • R
  • Looker
  • GA4
  • Adobe Analytics
  • Snowplow
  • Tealium

Product & decision-science practice

  • Forecasting workflows
  • Demand modeling
  • Data governance
  • Controls
  • Dashboard ecosystems
  • Stakeholder enablement
  • Executive storytelling
  • Stakeholder intake and prioritization
  • Internal product operations

AI-assisted development

  • Cursor
  • Claude Code
  • Codex
  • GitHub Copilot
  • Microsoft Copilot
SIDE B

Open Workbench

Selected public projects across music, hardware, data, and local-first software.

Discogs Spinner

Local-first Python desktop/web/CLI app for vinyl collectors; syncs Discogs collection and wantlist data, supports random album discovery, collection trends, collection health, and export/share workflows.

GitHub

FxPatchSDK / Endless DSP

C++/DSP experimentation for the Polyend Endless pedal, with custom effects, validation scripts, documentation, compiled artifacts, and local build workflows.

GitHub

Endless Loader

Mobile-friendly Python web server for Raspberry Pi and Ubuntu-family Linux that browses .endl patches, discovers and mounts a connected Polyend Endless pedal, loads selected patches, and verifies writes with read-back hashes.

GitHub

Home lab & hardware systems

4-node Raspberry Pi cluster, Zimaboard server experimentation, ESP32/Arduino sensor networks, Home Assistant integrations, Linux automation, and local LLM experimentation with Ollama/OpenWebUI.

EDUCATION

Education