Restaurant nutrition data pipeline with PDF parsing, schema validation, and location-aware search.
This technical case study is currently being written. It will document our data pipeline architecture, parsing logic, and quality validation systems.
Data Pipeline Architecture: PDF source to validated JSON output.
Parsing Challenges: Handling encoding artifacts, multi-format PDFs, and edge cases.
Schema Validation: Ensuring data quality and consistency.
Performance Metrics: Reduction from raw entries to validated records.
API Design: Search, filter, and location-aware query patterns.