📅 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 usingpd.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.