Zach Nichter

About Zach Nichter

Whether strategically leading or designing modern Data & AI technology solution my career revolves around pioneering change. Most recently this experience has led to solutions that elevate client engagement and trust. This includes architecting state-of-the-art application and data solutions leveraging modern cloud services to revolutionize operations across sectors. With a strong grasp of modern technologies, I\'ve led the creation of enterprise-scale SaaS applications, enhancing our team\'s reputation for operational excellence.I have lead projects through major technology shifts, integrating applications with AI LLM\'s (Large Language Models), significantly advanced automated data processes and built automated testing frameworks. This has catalyzed innovation, with my efforts culminating in the reduction of average issue research times and a marked improvement in error rates for client database imports. My commitment to excellence is reflected in the transformed data landscapes and empowered, efficient project executions that I have championed.

Experience

1. Independent Consultant

   Eyesup Solutions Group

   Jan 2025 — Present · US

   Architected and delivered an AI-powered data ingestion pipeline leveraging Azure Fabric, Azure AI Services, and AWS integration—automating data profiling, cleansing, and transformation for real-world enterprise datasets. Ensured scalability and governance alignment with Microsoft’s ecosystem.Led intelligent agent orchestration for schema mapping and backend automation, enabling dynamic ingestion of structured and semi-structured data. Integrated Microsoft Purview for end-to-end data lineage and compliance tracking.Directed cross-functional teams across engineering, QA, and architecture to deliver a production-ready proof-of-concept. Presented technical findings and executive summaries to stakeholders, supporting presales engagements and strategic alignment.Designed intellegent data ingestion workflows for industry specific data categorization and translation, discovery of new key data metrics, and domain specific data integrations. Defined dataflow architecture and governance models to support scalable operations.Standardized enterprise data architecture, implementing DevOps-aligned practices and secure, governed access to data lakes and warehouses—enabling AI-readiness and prompt engineering across business units.

Education

• Samford University

  Mathematics and Computer Science

  1995

Skills

• Windows
• Vendor Management
• Leadership
• Ssis
• Databases
• Programming
• Itil
• Powershell
• Performance Tuning
• Architecture
• Troubleshooting
• Cluster
• High Availability
• Management
• Business Intelligence
• Vmware
• C#
• T-Sql
• System Administration
• Disaster Recovery
• Microsoft Sql Server
• Strategy
• Database Design
• Retail
• Integration
• Data Center
• Windows Server
• Data Migration
• Visio
• System Architecture
• Database Administration
• Sql Tuning
• Data Warehousing
• Ssrs
• Etl
• Enterprise Architecture
• Oracle