Processed Galicia and Mercado Pago transactions

📅 2025-07-05 — Session: Processed Galicia and Mercado Pago transactions

🕒 20:05–20:50
🏷️ Labels: Transactions, Data Processing, Python, ETL, Financial Reporting
📂 Project: Accounting
⭐ Priority: MEDIUM

The session aimed to map and process transactions from Galicia and Mercado Pago into a universal format for financial reporting and analysis.

Mapping and Processing: Mapped Galicia transactions into a raw_transactions table, detailing transaction types, column mappings, and parser scripts.
Library Imports: Imported essential Python libraries for data manipulation and file handling, including pandas, os, json, math, textwrap, and random.
Data Loading: Loaded CSV data into Pandas DataFrames and performed initial data exploration using head() and transaction type counting.
Data Grouping and Analysis: Grouped data by transaction type and payment method, calculated sums of real amounts, and analyzed positive and negative values in financial data.
ETL Guide: Developed an ETL guide for Mercado Pago transactions, including mapping to a universal schema and outlining sanity checks.
7-Stage Pipeline: Outlined a comprehensive 7-stage pipeline for financial data ingestion, from parsing to output generation.
Schema Planning: Planned a canonical column set for storing atomic transaction data, focusing on essential columns for reporting.

Successfully mapped and processed Galicia and Mercado Pago transactions into a structured format.
Established a robust ETL process for financial data ingestion and reporting.

Finalize the implementation of the 7-stage pipeline for full automation of financial data processing.
Conduct further testing on the ETL process to ensure data integrity and accuracy.