Paul Dettorre

About Paul Dettorre

As a Principal IT Software Developer at SAS for over 20 years, I have contributed to building and maintaining advanced data warehousing and management solutions. My expertise in artificial intelligence, Minitab, and data warehousing has supported the development of systems that align with organizational goals and foster operational efficiency. Through a collaborative and detail-oriented approach, I have partnered with teams to create impactful strategies that empower data-driven decision-making. Committed to delivering value through robust technical solutions, I aim to enable innovation and support organizational growth.

Experience

1. Principal IT Software Developer

   SAS

   Oct 2014 — Present · Cary, NC, US

   AI-Augmented Development & Automation EngineeringLeveraging GitHub Copilot and Claude Code to accelerate development of complex operational dashboards supporting the Free Trials & Demos platform. Architected an agentic automation framework built on N8N that combines AI-driven code analysis with self-healing routines across scripting layers and database systems — reducing manual intervention and minimizing production downtime.• Built production dashboards integrating real-time platform telemetry for Free Trials & Demos operations• Designed and implemented an AI-powered monitoring framework using N8N workflows with embedded LLM agents for automated anomaly detection and remediation• Applied AI coding assistants (GitHub Copilot CLI, Claude Code) to accelerate delivery of complex, multi-system tooling• Established self-correcting automation patterns targeting script-level and database-level failure modes before they impact end usersPlatform & Microservices EngineeringArchitected and scaled a cloud-native platform of 200+ microservices on Azure (AKS, DAPR, TypeScript/Node.js), supporting 500+ concurrent environments and driving measurable reliability and developer productivity gains.• Reduced deployment time from 4 hours to 15 minutes via automated orchestration• Migrated 3 legacy monolithic applications (300K+ LOC) to AKS microservices, improving uptime from 95% to 99.5%• Built a Backend-for-Frontend (BFF) layer using NATS, Kafka, and Azure Service Bus — cutting API round-trip times by 55% and page load times by 2.3 seconds• Developed microservices in GoLang and TypeScript with automated error-detection scripts to accelerate status distribution and fault isolation• Designed a Zod schema abstraction framework adopted across 50+ services, reducing validation complexity by 60% and schema-related bugs by 80%• Cut new service onboarding from 3 days to 4 hours through standardized tooling and automation

Education

• Texas A&M University

  Statistics

• Salem State University

  BS, CS; Computer Science

  1987 — 1990

• Penn State University

  Artificial Intelligence Engineering

Skills

• Jira
• Javascript
• Java
• Json
• Databases
• Extract, Transform, Load (Etl)
• Webstorm
• Python
• Data Management
• Xml
• Database Design
• Angularjs
• Oracle Sql
• Sql
• Linux
• Oracle
• Typescript
• Mdx
• Requirements Analysis
• Agile Application Development
• Sas
• Nodejs
• Data Warehousing
• Mysql
• Etl
• Olap
• Microsoft Sql Server
• Business Analysis
• Unix
• Data Analysis
• Mongodb