📅 2025-07-05 — Session: Implemented Data Pipelines for Bank CSV Processing

🕒 20:45–21:00
🏷️ Labels: Data Encoding, Csv Processing, Python, Data Pipeline, Bank Data
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: The main objective was to resolve file encoding issues and implement robust data pipelines for processing bank CSV files.

Key Activities:

  • Addressed a file encoding error by switching to utf-16 encoding in Python, particularly using pd.read_csv for reading files.
  • Developed a complete pipeline for ingesting and parsing Erste Bank CSVs, handling irregular fields, and exporting cleaned data for future analyses.
  • Validated the transaction data structure, ensuring correctness and consistency, and outlined steps for data verification and filtering.
  • Adjusted the data file loading process to handle files without standard headers, correctly establishing column names and processing data.
  • Successfully processed the Galicia table, identifying key financial metrics and providing options for data integration into a CSV saving pipeline.

Achievements:

  • Resolved encoding issues and established a reliable method for reading CSV files.
  • Created and validated data pipelines for bank data processing, enhancing data quality and readiness for analysis.

Pending Tasks:

  • Review the processed Galicia data before integrating it into the CSV saving pipeline.