Solving complex data integration challenges across 28+ enterprise systems with self-healing automation and master data management
Enterprise organizations struggle with fragmented data across dozens of systems. I architect centralized integration platforms that eliminate point-to-point chaos, establish master data governance, and deliver self-healing automation that scales. From Workday to Active Directory to Elite 3E—and everything in between—I build the data backbone that makes modern enterprises work.
Hogan Lovells | Washington, DC
Leading the Data Integration Hub (DIH) serving as the enterprise backbone for 28+ business-critical systems across global operations. Architected comprehensive Master Data Management platform for People, Client-Matter, and Vendor/Payee domains. Drove cloud modernization from legacy systems to Azure with Terraform and modern API architecture.
Merkle Inc. | Columbia, MD
Managed technical operations for petabyte-scale Hadoop data lake supporting marketing analytics platforms. Built automation frameworks for daily data ingestion and reporting using Bash, Hive, Sqoop, Python, and MapReduce. Optimized HBase performance by resolving hot-spotting issues. Successfully migrated Hadoop environment from Cloudera to HortonWorks distribution.
Lockheed Martin | Manassas, VA
Led EDW/BI solution design for utilities sector supporting 150,000+ customers. Architected self-contained Master Data Management system with role-based security and performance monitoring. Designed high-availability integration systems with 99.9%+ uptime for mission-critical energy distribution platforms.
Sprint Nextel | Reston, VA
Managed consolidated Data Warehouse (0.75TB) serving 20,000 users with 98% uptime SLA. Led disaster recovery, SQL Server upgrades, and SOX compliance. Optimized Oracle data loads from 13+ hours to under 1 hour using SSIS—achieving 1200%+ performance improvement.
Architect centralized integration platforms eliminating point-to-point chaos. Build self-healing systems with automatic error recovery, retry logic, and comprehensive logging that maintain 99.9%+ uptime.
Design and implement comprehensive MDM solutions creating golden records, enforcing data quality, and establishing governance frameworks across People, Client-Matter, and Vendor/Payee domains.
Lead strategic migration from legacy on-premise systems to modern Azure cloud architecture with Infrastructure-as-Code, CI/CD pipelines, and lakehouse analytics platforms.
Build end-to-end automated workflows eliminating manual intervention. From Workday onboarding to Active Directory to Elite 3E—create seamless provisioning that reduces onboarding from days to hours.
Challenge: Manual user provisioning created delays, errors, and heavy administrative burden across Workday, Active Directory, and Elite 3E systems.
Solution: Architected end-to-end automated workflow reading Workday API for new hire events, creating AD accounts with proper OU placement and group memberships, synchronizing to Elite 3E, and making data available to 28+ downstream systems.
Impact: Eliminated 100% of manual provisioning effort, reduced onboarding from days to hours, eliminated human error, and established self-healing reconciliation processes.
Challenge: Point-to-point integrations created maintenance nightmare with data inconsistency across 28+ systems and no single source of truth.
Solution: Established centralized DIH platform with Master Data Management for People, Client-Matter, and Vendor/Payee domains. Implemented golden record management, data quality rules, and automated data distribution to all downstream systems.
Impact: Achieved 99.9%+ uptime, processed millions of daily transactions, supported 4 firm mergers seamlessly, and became the de facto integration standard across the enterprise.
Challenge: Multiple critical integrations (FileTrail, Alumni Portal, VinciWorks, ServiceNow) required constant manual intervention and generated high support ticket volumes.
Solution: Designed C# API-based integrations with queue-based architecture, comprehensive retry logic, automatic error recovery, and proactive health monitoring. Built end-to-end automation eliminating manual effort by sysadmins and vendors.
Impact: Reduced BAU support tickets by 90%, achieved zero integration failures post-deployment for Alumni Portal, eliminated substantial ongoing manual effort across multiple teams.
Challenge: Legacy on-premise systems couldn't scale for modern analytics needs, lacked infrastructure-as-code, and required manual deployment processes.
Solution: Leading DIH migration to Azure cloud with Terraform automation, Azure DevOps CI/CD pipelines, and modern REST API architecture. Implemented medallion architecture on Microsoft Fabric for software spend analytics using PySpark and delta tables.
Impact: Established infrastructure-as-code practices, enabled automated testing and deployment, created scalable lakehouse analytics platform for executive decision-making.
Whether you're struggling with fragmented data across multiple systems, need enterprise-scale Master Data Management, or want to modernize legacy integrations to the cloud—I bring 20+ years of proven experience building platforms that scale.
Based in Washington, DC • Open to remote, hybrid, or on-site arrangements