When systems must work together: shop, ERP, CMS, CRM and third-party tools. I build data flows, interfaces and middleware so they run reliably, handle errors properly and remain maintainable over time.
Integration work that stays understandable: clear data ownership, robust processing, transparent errors and a setup your team can operate without constant firefighting.
Define per entity where data “owns” the truth (product, stock, price, customer, documents). Without that, every integration becomes expensive.
Protection against duplicates, meaningful retries, clear timeouts and a safe way to handle problematic cases. The goal is predictable behavior.
Status per job/event, correlation IDs, logs and simple metrics. Errors become visible and actionable instead of turning into ticket chaos.
Mapping in one place (code/config), clear modules, documented contracts and deployments that can be reproduced.
Products, prices, stock, orders, logistics and tracking. Often a mix of webhooks and scheduled jobs – with conflict handling and clear processing rules.
Forms, product/document data, portals. Goal: connected content, stable performance and clear permissions.
Payment, PIM, shipping providers, marketplaces. Goal: stable interfaces, clear error paths and sensible rate-limit handling.
Queues/message brokers are used when they simplify operations — not as an end in themselves.
Depends on data volume, consistency requirements and what is realistically operable. Often a hybrid model works best: events for critical paths, batch for rebuilds and corrections.
Validation at the boundary, a safe quarantine for problematic payloads and a clean reprocessing flow. The goal is visibility — not hiding errors.
Yes. Review existing flows, identify risks and quick wins, create an integration concept and a prioritized roadmap. Implementation can follow afterwards.