Case study
Work at Monotaro
Data and integration work for a Japanese-owned B2B e-commerce company, on Google Cloud.
- Oracle APEX
- PL/SQL
- SAP
- Magento
- Google Cloud
- BigQuery
- Dataform
- Cloud Run
- GitHub Actions
- Odoo
The problem
Enterprise customers buy from their own ERP, product data changes every day, and releases must be safe. (Described at a high level; no internal details are shown.)
What I built
- SAP ↔ Magento e-catalog: an Oracle APEX middle system that keeps enterprise customers' SAP catalogs in sync with the store, so they can order from inside their ERP. Live since January 2026; billions of rupiah in sales have gone through it. It needed close work with customers and stakeholders.
- Daily data syncs at scale: batch jobs moving ~7–9 million records per day with selective sync and concurrent workers.
- Pipelines on Google Cloud: Cloud Workflows, Dataform, Cloud Run jobs/functions/services, Cloud Scheduler, BigQuery, IAM and Workload Identity Federation.
- CI/CD for Oracle APEX: schema and application releases automated with GitHub Actions + Playwright + Workload Identity Federation, replacing a manual process and improving security.
- Odoo ERP development and support across sales, purchase, manufacturing and accounting.
How it works
- 1Customer SAP
- 2Oracle APEX middle system
- 3Magento store
- 4Orders back to the ERP
Engineering notes
- Working language: English, with a Japanese manager and Japanese engineering standards.
How I build
Designed, built, tested and deployed by me with an AI coding assistant (Claude Code): I set the requirements, review every change, test on scratch copies with fake data, and run it in production.