πŸ“… 2025-10-21 β€” Session: Revamped Accounting and Data Integration Pipeline

πŸ•’ 19:40–22:15
🏷️ Labels: Accounting, Data Integration, Financial Management, Automation, ETL
πŸ“‚ Project: Accounting

Session Goal

The session aimed to revamp the accounting pipeline and integrate a hybrid data architecture to enhance financial data management and reporting.

Key Activities

  • Developed recommendations for transitioning from file logistics to financial intelligence, identifying bottlenecks in the current accounting subsystem.
  • Provided a structured briefing template for the β€˜Accounting Pipeline Revamp – Q4 2025’.
  • Designed a hybrid data architecture for financial document management, utilizing stable IDs and contracts across storage layers.
  • Mapped sheets to the hybrid architecture, specifying roles and sync contracts.
  • Set up a spreadsheet index and configured automation using Apps Script.
  • Established an initial working contract for data integration from Sheets to a relational database, detailing SQL schema and ETL processes.
  • Extended the Bills-Payments-Txns system to handle complex billing scenarios.
  • Clarified the distinction between payments and transactions in financial systems.
  • Defined database schema and ingestion pipeline for financial statements, focusing on reconciliation and tracking.
  • Outlined a filename convention for document management to support ETL processes.
  • Planned an end-to-end data ingestion strategy, including a sprint checklist and sanity queries.

Achievements

  • Successfully outlined a comprehensive plan for revamping the accounting pipeline and integrating data systems.
  • Established clear guidelines and templates for documentation and execution.
  • Enhanced understanding of financial systems through detailed schema and process mapping.

Pending Tasks

  • Implement the hybrid data architecture and test integration workflows.
  • Finalize and distribute the β€˜Accounting Pipeline Revamp – Q4 2025’ briefing.
  • Monitor and adjust the ingestion pipeline based on initial data processing results.