Developed ETL and Accounting Data Platform

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Developed ETL and Accounting Data Platform

  • Day: 2025-11-29
  • Time: 20:20 to 21:55
  • Project: Accounting
  • Workspace: WP 2: Operational
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: ETL, Accounting, Data Platform, Automation, Python

Description

Session Goal: The session aimed to develop and integrate a defensive wrapper script for materializing accounting artifacts, review existing accounting scripts, and design a comprehensive ETL pipeline and accounting data platform.

Key Activities:

  • Created a defensive wrapper script scripts/materialize.py for materializing accounting artifacts and integrated it into a Makefile.
  • Reviewed accounting scripts and system components, focusing on function implementations and CLI entrypoints for ETL processes.
  • Outlined a structured plan for assembling ETL modules, identifying existing components and gaps, and providing actionable code snippets.
  • Designed a practical accounting data platform, detailing responsibilities, scheduling runs, and ensuring outputs are correct and auditable.
  • Developed an operational design for weekly and monthly accounting runs, including artifact contracts, cadence design, and validation checks.
  • Compiled a compact playbook for the accounting data platform, emphasizing a single source of truth and governance through manifests and validation checks.
  • Outlined a workflow for transforming raw ledger data into a canonical format, including validation checks and edge-case considerations.

Achievements:

  • Successfully created and integrated a defensive wrapper script for accounting artifact materialization.
  • Established a detailed plan for ETL pipeline assembly and accounting data platform design.
  • Developed operational designs and playbooks to ensure auditability and governance.

Pending Tasks:

  • Implement the full ETL pipeline based on the outlined plan.
  • Finalize the integration of all components into the accounting data platform.
  • Conduct thorough testing and validation of the entire system to ensure accuracy and reliability.

Evidence

  • source_file=2025-11-29.sessions.jsonl, line_number=0, event_count=0, session_id=99de922edcba2d3b1d82d47cd0dd973dc6e2960d9e27b4cfdf16bee9c4bfed5c
  • event_ids: []

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