Automated Data Matching & Batch Slicing Tool (Python / Pandas)

Experienced Python/Pandas Developer Needed for Local Data Reconciliation & Slicing ScriptI am looking for an intermediate Python developer to build a lightweight, local data processing script using Pandas to clean, normalize, and reconcile corporate datasets. The engine will run completely locally on a Windows environment and needs to execute a two-phase workflow: first, it must dynamically standardize varying CSV column headers, filter records based on a specific financial threshold, sort the rows chronologically based on an identification string parameters, and split the final outputs into separate sequential batches of exactly 50 records to control third-party data transaction overhead. Second, the script must ingest a returned verification file, execute a vectorized hash-match to isolate specific string flags, perform metric calculations, and output a clean, sorted final target list into a separate directory. Clean, commented code and a secondary dummy-data script for local testing are required within 48 hours; a standard mutual NDA must be signed before final project kickoff