Developed and Refined CSV Data Processing Pipelines

• Day: 2025-07-05
• Time: 23:45 to 00:00
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Csv Processing, Data Transformation, Python, Pandas, Banking

Description

Session Goal:

The session aimed to develop and refine data processing pipelines for CSV files from Erste Bank and Banco Galicia, focusing on encoding issues, data cleaning, and transformation.

Key Activities:

• Resolved a CSV file encoding error by changing the encoding to ‘utf-16’, providing a Python code snippet for implementation.
• Outlined a complete pipeline for reading, cleaning, and exporting Erste Bank CSV files, ensuring proper handling of irregular fields.
• Validated transaction data structures and suggested further analysis and automation steps.
• Processed Galicia transaction data from Excel files, normalizing financial figures and standardizing dates.
• Inspected DataFrame column names to diagnose issues with the expected ‘Fecha’ column.
• Adjusted file loading to correctly set column names and process data without standard headers.
• Reimported ‘ace_tools’ and displayed corrected DataFrame of Galicia transactions.
• Completed the transformation of Galicia tables, offering options to add data to CSV pipeline or review them.
• Provided a Python script to process Banco Galicia extracts, converting data into a standardized format.

Achievements:

• Successfully developed pipelines for processing CSV and Excel files from Erste Bank and Banco Galicia.
• Resolved encoding issues and standardized data formats for further analysis.

Pending Tasks:

• Refactor the Python script into a reusable function for processing Banco Galicia extracts.
• Further automate the transaction analysis and data validation processes.

Evidence

• source_file=2025-07-05.sessions.jsonl, line_number=7, event_count=0, session_id=30254ae28d7eafe14c49567891dab85e39cb8f92885e0c93852269a320514df1
• event_ids: []