Service / API & multi-service integration

Connect APIs and services without turning synchronization into operational risk.

I design the integration around the workflow first, then connect services, data and backend components with explicit rules for failures, retries, duplicates and ownership.

01 / Integration friction

When the systems are connected only by manual work.

The problem is rarely “we need an API.” It is that data crosses boundaries without a clear source of truth, failure path or way to recover safely.

01 / Blockage

Manual bridges between tools

People copy records, re-enter status or move files because the systems do not carry the workflow end to end.

Signal: repeated handoffs
02 / Blockage

Brittle sync and webhooks

A temporary API issue, timeout or schema change can leave the workflow half-complete.

Signal: silent partial failure
03 / Blockage

Duplicate or conflicting records

Retries and repeated submissions create multiple actions when the integration has no idempotency strategy.

Signal: data drift
04 / Blockage

No operational visibility

A sync fails, but nobody can quickly see which item failed, why it failed or what should happen next.

Signal: hard-to-debug incidents
02 / What I build

Integration that treats failure handling as part of the system.

The implementation can be a direct API connection, webhook-driven workflow, scheduled synchronization or a small backend service coordinating several tools. The goal is controlled movement of data—not merely a successful demo request.

01

Integration architecture

Define system boundaries, source-of-truth rules, data ownership and the direction of each flow.

02

API clients & webhooks

Connect REST APIs and webhook events with validation, authentication and explicit contracts.

03

Data synchronization

Map and move records between services, files or databases with controlled state transitions.

04

Authentication & secrets

Keep credentials out of business logic and define how access is stored, rotated and scoped.

05

Retries & idempotency

Recover from temporary failures without creating duplicate downstream actions.

06

Logging & alert paths

Record integration outcomes so failures can be found, understood and handled deliberately.

03 / Delivery

From system boundaries to a recoverable integration.

01

Map systems & ownership

Identify each source, destination, trigger, user and source-of-truth before choosing the integration pattern.

02

Define contracts & failure paths

Specify fields, validation, authentication, duplicate rules, timeout behavior and what happens when a dependency is unavailable.

03

Build & test the unhappy path

Implement the connection and test retries, malformed input, partial outages and repeated events—not only successful calls.

04

Observe & hand over

Add useful logs, operating notes and recovery steps so the integration can be understood after delivery.

04 / Reliability

Reliable integrations are designed for the second attempt, not only the first.

Bounded retries

Retry temporary failures with limits and backoff rather than creating an endless loop.

Idempotency

Repeated events should not repeat the same business action when nothing new has happened.

Contract boundaries

Validate payloads and mappings at the edge so inconsistent data does not spread between systems.

Observability

Keep enough context to answer what failed, where it failed and what can be retried safely.

05 / Relevant evidence

Connected-system thinking from a real operational case.

Start a project

Which systems are your team connecting manually today?

Describe the tools, the data that moves between them and what happens when the transfer is late, duplicated or fails.