API
Integrations
Clean Plumbing.
The unglamorous plumbing that makes everything else work. Cleaned up, documented, hardened.
The Problem
Every growing company accumulates integration debt. A Stripe webhook that mostly works. A HubSpot sync that drops one in twenty leads. A Slack bot nobody dares touch. A billing discrepancy nobody can explain. The longer it's left, the more brittle it gets — and the more it costs to fix. Silent failures are the worst kind: your data looks fine until a client asks why their invoice never arrived and you have no idea where it went.
My Approach
I start with a full integration audit: every connector mapped, every failure mode catalogued, every silent dependency surfaced. Then I rebuild the problematic paths from the ground up — idempotency keys, dead-letter queues, signed and verified payloads, exponential backoff, replay tooling, and an observability layer that makes on-call something other than a guessing game. The code I leave behind is boring in the best possible way.
This is right for you if…
- Engineering team with an integration backlog that keeps sliding down the roadmap
- Product shipping that needs to connect to three or more third-party APIs reliably on day one
- Ops team experiencing silent data failures between systems — records going missing, duplicates appearing
- Startup whose webhook infrastructure 'mostly works' and needs to be hardened before scale
- Team spending engineer hours manually replaying failed events instead of shipping features
Not the right lane if…
- Full-product builds — this is focused integration work, not end-to-end application development
- One-off API calls that don't need queue infrastructure or retry logic (simple REST integrations are a Sprint)
- Teams who want the integration built but don't want documentation or observability — those aren't optional
Honest fit assessment is part of every first conversation. If this isn't the right service, I'll tell you which one is — or refer you out entirely.
The Process
Integration Audit
Week 1Every connector mapped, every failure mode catalogued, every undocumented dependency surfaced. You get a written report before I write a line of new code.
Architecture
Week 1–2Idempotency strategy, retry and backoff policy, dead-letter queue design, and observability plan — all defined and agreed before implementation.
Build
Weeks 2–5One integration rebuilt at a time, with a test suite per connector. Nothing moves to the next integration until the previous one has a green test run.
Observability
Week 5–6Structured logging, distributed tracing, alerting rules, and a dashboard your on-call engineer can actually read during an incident.
Documentation & Handoff
Final weekPlain-English runbook for every integration, architecture diagram, incident playbook, and onboarding guide for the next engineer on the team.
What to Expect
reliability post-launch
incidents after rebuild
shift per engineer
with full replay capability
Deliverables
Every engagement ends with a clean handoff — not just working code. You should be able to own and extend what I build without a developer dependency.
- Integration audit reportEvery connector, every failure mode, every silent dependency. Written before any new code.
- Typed API clientsOne source of truth per integration. Auto-generated types, retry logic, idempotency keys, and backoff.
- Webhook infrastructureSigned, verified, replayable, dead-letter-queued. The full production stack, not just a handler.
- Test suite per connectorUnit and integration tests covering happy paths, failure modes, and idempotency. Re-runnable anytime.
- Observability layerStructured logs, distributed traces, alerting rules, and an ops dashboard readable under pressure.
- Documentation & runbookPlain-English walkthroughs for every flow, architecture diagram, and incident playbook.
Stack & Tooling
Relevant Work
Crest Supply Co.
Real-time Shopify → Saddle Creek 3PL connector. Replaced 4× daily CSV exports with live webhook sync — fulfillment lag from 6 hours to under 4 minutes.
View Case Study →Peak Agency
GA4 + Meta Ads + Google Ads + Stripe unified into one analytics dashboard across 23 client accounts. Monday data prep: 5 analyst hours → zero.
View Case Study →Before this, our on-call engineers were manually replaying events from raw logs. Now the dashboard just tells us what happened. Night and day difference.
FAQ
Can you work with my existing API vendor?
Almost certainly. I've integrated with 50+ third-party APIs across payments (Stripe, Paddle), CRM (HubSpot, Salesforce), communication (Slack, Twilio), analytics (Mixpanel, Amplitude), and infrastructure. If a vendor has an API and documentation, I can integrate with it.
What about legacy systems without modern REST APIs?
Legacy integration is part of the job — database polling, file-based syncs, SOAP services, and screen scraping where necessary. I'll document the technical debt involved and give you a roadmap for reducing it over time.
How do you handle webhook security?
Signature verification on every inbound webhook, HTTPS enforcement, IP allowlisting where the vendor supports it, and replay attack protection via timestamp validation. Security isn't an add-on — it's part of the default architecture.
Do you handle real-time webhooks at high volume?
Yes. Queue-backed processing (Inngest, BullMQ, or Temporal depending on the stack), dead-letter queues with configurable retry windows, and idempotency keys so duplicate deliveries never cause duplicate processing. I've built this at thousands of events per minute.
What does the test suite cover?
Happy paths, known failure modes (network timeouts, malformed payloads, vendor outages), idempotency verification (same event delivered twice = same outcome), and replay testing. The suite is documented and re-runnable — not just something I run once and delete.
What if an integration breaks after you leave?
The observability layer will tell your team exactly what broke and where. The runbook covers the most likely failure scenarios with step-by-step resolution. And if something genuinely unexpected happens, I offer post-project support arrangements for teams that want an engineer on call.