Automated Enterprise Data Pipeline
Developed an automated backend pipeline to eliminate manual data entry bottlenecks and modernize operational workflows for a corporate sponsor. The system orchestrates end-to-end processing by programmatically intercepting cloud data streams, sanitizing input fields, and dynamically mapping payloads into standardized enterprise templates.
- Engineered a full-lifecycle data processing pipeline using Python and Windows Batch scripting.
- Optimized multi-source data ingestion models to eliminate manual business overhead and entry error.
- Maintained high-availability data mapping workflows while ensuring strict data schema integrity.