Multi-source data integration pipeline
Aggregates and normalizes data from 19+ live sources with deduplication, polite rate-limiting, resilient adapters, and incremental sync.
Software, automation & data engineering.
I design and build reliable systems — integrations, automations, data pipelines, and the fixes that get a stalled project shipping again. Work comes with tests and clear, agreed acceptance criteria, so you can see it works.
What I do
Connecting APIs and services cleanly: payments, AI/LLM, auth & databases, third-party tools.
Workflow automation that removes manual, repetitive work and gives you back time.
Ingesting, cleaning, normalizing, de-duplicating and validating messy data into something you can trust.
Failing builds, broken test suites, flaky deploys, and apps that almost run.
Selected work
Aggregates and normalizes data from 19+ live sources with deduplication, polite rate-limiting, resilient adapters, and incremental sync.
Scores options on multiple weighted factors and calibrates against observed results over time, improving as it runs.
Routes work across multiple AI models with automatic fallback; important output runs through automated dual-model QA.
Builds in an isolated environment and runs automated release checks that catch failures before handoff.
A real-time web dashboard (HTTP API + frontend) surfacing results, status, and confidence.
39 automated test suites, a deterministic offline end-to-end test, cryptographic build-integrity manifests, per-module version gates, automated secret-scanning — 90+ modules, ~18,000 lines, green-before-release.
How I work
Clear, checkable acceptance criteria up front.
Clean, documented work, not a black box.
Verified against your case before final sign-off.
Refinement is part of the deal, not an extra.
No jargon, clear communication, no surprises.
Tell me what you're trying to build or fix, and what "done" looks like. I'll reply with a clear scope and price.
Prefer email? peter@clira.dev