EXECUTIVE SUMMARY
Senior data engineering and analytics leader with 20+ years of progressive experience at AT&T, driving enterprise-scale data strategy, platform modernization, and survey-driven customer experience programs. Defined and delivered Copernicus: AT&T's first cross-product, cross-channel customer journey platform adopted by 1,000+ analysts enterprise-wide, fundamentally transforming how the organization understands its customers. Directed three successive cloud migration initiatives (Teradata → Snowflake, on-prem → Azure → serverless Databricks), managing cross-functional teams and multi-year roadmaps. Deep expertise in survey methodology — from program design and vendor selection to metric definition and executive reporting — combined with a modern technical toolkit spanning Snowflake, Databricks, Python, and AI/LLM integration. Known for building high-performing teams, championing self-service tooling that scales analyst productivity, and translating complex data challenges into strategic business outcomes.
LEADERSHIP COMPETENCIES
Data Strategy & Roadmap
Enterprise Platform Architecture
Cloud Migration & Modernization
Survey Methodology & Design
Customer Experience Analytics
Cross-Functional Stakeholder Mgmt
Team Building & Talent Development
Vendor Evaluation & Selection
AI / LLM Strategy & Integration
Executive Reporting & Communication
Agile Delivery & Program Mgmt
Cost Optimization & Governance
PROFESSIONAL EXPERIENCE
Principal Data / AI Engineer — Associate Director, Advanced Analytics
AT&T
2016 – PRESENT
Enterprise Data Platform Strategy & Delivery
- Defined the vision and led delivery of Copernicus, AT&T's first cross-product, cross-channel integrated customer journey platform consolidating 30+ disparate source systems into a unified dataset covering the full Consumer and Business customer base across mobility and wireline products with 3 years of transactional history.
- Drove adoption to 1,000+ active analysts within 6 months of launch across CDO, Labs, Marketing, Digital, Business, Retail, Centers, and external consulting partners — establishing Copernicus as the enterprise standard for customer journey analytics.
- Established a portfolio of 9 integrated subject domains (retail sales, IVR/calls/chats, mobility & wireline provisioning, device sales, credits, online transactions, work orders, surveys, billing & payments) enabling analysts to perform holistic, cross-channel customer analysis.
Cloud Migration & Platform Modernization
- On-Prem → Azure Cloud: Directed full platform migration from Teradata to Snowflake — overseeing refactoring of 1,800 SQL scripts into Python-driven ETL pipelines across 40+ scheduled jobs and 40,000+ lines of code. Managed the transition of on-prem servers to Azure VMs and cloud-based data router software.
- Azure VMs → Serverless Architecture: Eliminated VM infrastructure dependencies by migrating job orchestration to Databricks and converting listener software to cloud-native app services, reducing operational overhead and improving system reliability.
- Account Migration + Open-Format Modernization: Led Snowflake account migration with codebase modernization to Snowpark stored procedures, comprehensive event logging, and adoption of Iceberg open-format storage with Databricks Unity Catalog — enabling multi-source querying and reducing compute costs.
Self-Service Analytics & Innovation Portfolio (2025–2026)
- Championed and delivered a portfolio of self-service data applications to scale analyst productivity including an interactive data model explorer (413 views, 13,307 auto-inferred joins), an AI-powered no-code file-to-database loader with Claude LLM quality analysis, and a customer discovery engine profiling 40 billion rows with 311 validated question/query pairs for conversational analytics.
- Established a comprehensive GitHub Copilot customization framework (11 skills, 3 specialized agents, MCP server integrations) to accelerate developer velocity across the engineering team — reducing repetitive operational tasks and standardizing deployment, SQL linting, and job management workflows.
- Directed development of an executive reporting application with manager roll-up views, org hierarchy integration, and automated Word document export streamlining weekly status reporting for leadership.
- Engineered enterprise data pipeline processing 350M+ US address records from multiple federal and open-source databases with deduplication, incremental loading, and Databricks job orchestration.
- Designed automated Azure Blob Storage lifecycle management across 5 storage accounts, navigating enterprise firewall constraints to implement batch cleanup and auditing capabilities.
Team Leadership & Organizational Development
- Led a team of data engineers through three major migration initiatives (2023–2025), managing workloads, setting technical direction, and ensuring on-time delivery of complex, multi-quarter programs.
- Mentored and onboarded new team members, established coding standards and documentation practices, and guided employees through organizational transitions including RTO — fostering a culture of continuous improvement and knowledge sharing.
- Preserved and structured institutional knowledge by archiving 605 forum discussions and SQL queries into a searchable Snowflake-backed knowledge base, reducing onboarding time for new analysts and engineers.
- Served as the go-to cross-organizational subject matter expert for data platform architecture, providing ad hoc analysis and strategic guidance for high-priority initiatives across multiple AT&T business units.
Associate Director — Customer Experience Reporting & Analytics / Progressive Roles
AT&T
2003 – 2016
Survey Program Management & Methodology
- Directed multiple national-level customer satisfaction survey programs — Wave, Ace, Post-Call, Prepaid, and iPhone satisfaction surveys — serving Customer Care, Retail, Business, Receivables Management, and other AT&T organizations at all reporting levels (national, regional, functional).
- Owned end-to-end survey operations: program design, sampling methodology, vendor management, ETL pipeline development, metric definition and governance (MSS, WTR, FCR, Overall Satisfaction), and executive stakeholder reporting.
- Served as SME for survey methodology provider evaluations, ensuring data continuity and reporting integrity during platform transitions while delivering uninterrupted insights to leadership.
Text Analytics, NLP & Advanced Analytics
- Established the Clarabridge text analytics program — designing data pipelines for real-time and batch NLP processing of unstructured customer verbatim responses, enabling categorization and sentiment analysis at enterprise scale across all survey programs.
- Led trial analytics for strategic product launches (AT&T Next, MobileShare, VoLTE), delivering what-if analysis and data-driven recommendations to support executive Go/No-Go decisions.
Data Engineering, Reporting & Team Development
- Built and managed ETL/ELT pipelines across MS SQL Server, Teradata, HP Vertica, Oracle, and MySQL — overseeing database lifecycle management, job scheduling, permissions, and performance tuning.
- Delivered executive dashboards and operational reports using MicroStrategy, SSRS, SSAS cubes, Excel, SharePoint, and PowerPoint — translating complex data into actionable business intelligence for senior leadership.
- Grew the internal analytics talent pool by training and mentoring team members on SQL development and reporting tools; administered SharePoint sites and managed workflows for national-scale user communities.
- Progressed through roles from Customer Service Representative to Associate Director over 13 years, demonstrating consistent ability to take on increasing scope, complexity, and leadership responsibility.
TECHNICAL EXPERTISE
DATA PLATFORMS
Snowflake, Teradata, MS SQL Server, Oracle, HP Vertica, MySQL, Iceberg, Unity Catalog
CLOUD & BIG DATA
Microsoft Azure (VMs, App Service, Blob Storage), Databricks (Jobs, Apps, Spark), PySpark
PROGRAMMING & FRAMEWORKS
Python, SQL, Snowpark, Flask, Pandas, REST APIs, Gunicorn
ETL / ELT & ORCHESTRATION
Python pipelines, SSIS, SQL Server Agent, Stored Procedures, Databricks Workflows
BI & REPORTING
MicroStrategy, SSRS, SSAS, Excel, SharePoint, PowerPoint, python-docx
SURVEY & CX ANALYTICS
Survey design & sampling methodology, NLP/text categorization, sentiment analysis, A/B trial analytics
AI / LLM
Claude API (Databricks Model Serving), GitHub Copilot customization (skills, agents, MCP)
DEVOPS
Git, GitHub (CLI + API), pre-commit hooks, sqlfluff, AzCopy, Databricks CLI
EDUCATION & CERTIFICATIONS
Louisiana State University at Eunice
Computer Science (1997–1999)
Microsoft Certified Professional
2000