Tim Wiley — Portfolio Showcase

Data & Analytics Architecture | BI Leadership | Full-Stack Delivery Across Enterprise Platforms

I design and deliver data systems that turn complex operational data into decisions leaders can trust.

Oracle, Informix, SQL Server, DB2, PostgreSQL, Cognos, WebMethods, Java, Spring, Angular, Python, Spark, cloud-native delivery.

What makes this portfolio distinctive is architectural consistency across technology eras, from early data warehouse foundations to modern cloud and AI-adjacent delivery.

Summary

  • Governed KPI/metric modeling with effective dating, threshold/target contracts, and org rollups before metric-layer products became common.
  • Production delivery across Oracle, Informix, SQL Server, DB2, and PostgreSQL with platform-native implementation patterns.
  • Executive BI ecosystems and semantic models that support both leadership visibility and operational drill-down.
  • Hands-on architect leadership with direct build, troubleshooting, and stakeholder alignment accountability.

Technical Breadth Beyond Sample Files

Visible artifacts are representative, not exhaustive. Transcript and timeline content capture additional delivery scope across application, integration, and platform layers.

  • Integration: WebMethods / SAP Business Connector, A2A publish-subscribe, canonical transformation flows.
  • Application Engineering: Java/Spring services, Angular front-end delivery, Python/Flask APIs.
  • Platform Operations: Docker/Kubernetes, cloud deployment workflows, cross-layer production troubleshooting.
  • Leadership: architecture ownership, delivery planning, mentoring, business-to-technical translation.

Featured Proof of Work

Governed Metric Model: Reusable metric contracts and semantic governance.

PostgreSQL Adaptability: Enterprise pattern translation for security, temporal records, procedures, and concurrency.

Healthcare BI Modernization: Executive reporting with meaningful operational intervention support.

IBM Technical Lead Era: Architecture plus high-stakes execution across large enterprise programs.

What This Indicates

  • Consistent architectural judgment across shifting platforms.
  • Balanced strength across data, BI, and application integration.
  • Pragmatic implementation focused on maintainability and outcomes.
  • Trusted leadership with hands-on execution credibility.