Working with legacy utility and telecom data feeds can be challenging due to inconsistent regional formatting. Recently, I had to build a Python parser to ingest and sanitize nested JSON responses from various providers.
Instead of writing massive regex blocks for regional routing numbers and office hours, I mapped the expected structures into Python dataclasses. By validating the types upfront, I was able to drop the error rate on the ingestion pipeline significantly.
Has anyone else found a more efficient way to handle inconsistent regional data types without slowing down the worker nodes?
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