Implemented and Debugged Financial Data Parsers

• Day: 2026-03-10
• Time: 10:20 to 11:00
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Financial_Data, Data_Parsing, Python, Automation, Debugging

Description

Session Goal

The goal of this session was to implement and debug various financial data parsers and ensure smooth data ingestion and processing.

Key Activities

• Developed parsers for financial data from sources like Erste, Galicia, and Mercado Pago, using pandas to standardize CSV and Excel files.
• Outlined a migration strategy for the accounts pipeline, focusing on schema normalization and centralized paths.
• Corrected the run_ingest.py script for the accounts pipeline to enhance data ingestion.
• Debugged the Wise parser failure, including fixing bugs related to currency amount parsing and ensuring parser parity across data sources.
• Explored Jupyter Notebook cell reading and iteration using Python’s nbformat library.
• Refactored 03_pivot.py into modular scripts for better data processing and reconciliation.
• Finalized steps for package migration, ensuring batch purity and data integrity.

Achievements

• Successful implementation and debugging of financial data parsers.
• Established a clear migration strategy for the accounts pipeline.
• Corrected and improved data ingestion scripts.
• Identified and fixed critical bugs in the Wise parser logic.

Pending Tasks

• Continue refining the data processing scripts to handle mixed legacy and new data formats effectively.
• Ensure all parsers generate fresh snapshots and that reconciliation operates on a single batch for data integrity.

Evidence

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• event_ids: []