Building an AI-Ready Modern Data Lifecycle
Transformed a $1B solar manufacturer's fragmented inventory and production data into a live view, so planners could see stock and WIP instead of waiting on 24-hour reports.
Production metrics locked in Oracle MES behind VPN. Financial data scattered across Oracle ERP and SAP. 40+ hours weekly spent on manual reconciliation. 24-hour reporting delays blocking AI initiatives.
- →Automated VPN access and catalogued 328 Oracle schemas with latency mapping
- →Activated change-data-capture (CDC) across Oracle and MES systems
- →Built unified event schema preserving order-to-shipment causality
- →Containerized self-healing pipeline with automated health monitoring
- →Deployed real-time dashboards with LLM-powered translation for supplier docs
U.S. solar technology manufacturer ($1B revenue, 5GW annual production) with strategic partnership with $50B materials multinational.