Turning ERP XML chaos into an analytics-ready cloud data lake.
A scalable ETL pipeline that extracts complex XML from enterprise ERP systems, parses deeply nested structures, and transforms them into structured, analytics-ready formats in a cloud data lake — enabling reporting, dashboards, and future AI insights.
Critical ERP data was locked in unusable XML.
Enterprise ERP systems held the operational truth — but it lived only as deeply nested XML that analysts could not query, scale, or trust for modern analytics.
XML-only data access
Operational data was available only in complex, nested XML formats from ERP APIs.
No analytics-ready output
Nothing downstream could consume the data without manual transformation or fragile scripts.
Manual, error-prone extraction
Teams relied on hand-built pulls and one-off scripts that broke as schemas drifted.
Limited scalability
Large volumes and inconsistent structures made continuous processing unreliable.
Client
Enterprise logistics / ERP data
Industry
Logistics & supply chain data
Integrations
ERP APIs · AWS S3 · Cron
Engagement
Pipeline design to production