Delivery lane
Finance and Operations Automation Pipelines and automations for ERP, finance workflows, and process control.ERP integration
General ERP Data Pipeline
Finance stops fighting inconsistent ERP exports, even with more than one system in the mix.
- Python
- dbt
- BigQuery
- Canonical modeling
Problem
Growing teams often run finance reporting across inconsistent ERP exports and broken joins.
Solution
dbt layers translate whatever the ERP exports into one canonical model, with validation queries catching mismatches before they reach a dashboard.
Outcome
Finance gets a reporting foundation it can trust today, with no need to replatform the ERP first.
Repository scope
4 core delivery blocks A compact build with practical deliverables and visible operating behavior.Operating posture
Audit-friendly automation delivery Built with the same logging, retries, and validation you would expect from a workload running in production.What ships in this repository
- Canonical ERP staging and marts
- Reconciliation logic for balances and payments
- Backfill-safe incremental loading
- Operational runbooks and dashboards
Stack and operating model
- Python
- dbt
- BigQuery
- Canonical modeling
- Ops layer
- Terraform
dbt layers turn whatever each ERP exports into one canonical model, with reconciliation and incremental loads that survive a messy backfill.
Why buyers pick this type of build
- Reduces manual finance work while preserving reconciliation and traceability.
- Useful when recurring browser or ERP workflows need operational control, not just scripts.
- Keeps downstream accounting, BI, and ops consumers working with validated outputs.
How delivery stays reliable
- Structured logs, validation steps, and predictable run behavior.
- Replay-safe processing paths designed to reduce duplicate work and broken publishes.
- Repository structure that another engineer can extend without re-learning the whole system.