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Hire a Freelance aiohttp Developer

I'm a Python developer available for remote freelance work involving aiohttp — async, high-throughput API ingestion for pipelines that need to pull thousands of records without doing it one request at a time. Rate limiting and retry logic built into the design, not added after something breaks in production.

100k+ documents ingested daily on cron
100% Upwork job success
3.11+ Python version, typed throughout
Remote available worldwide

High-throughput ingestion

Concurrent API pulls instead of a sequential loop — the difference between a job that finishes in minutes and one that finishes overnight.

Rate limiting & backoff

Built into the pipeline from the start — respecting an API's limits deliberately, not discovering them via a wave of 429 errors in production.

Retry logic

Transient failures handled without dropping records — a pipeline that survives a flaky upstream API instead of silently losing data.

Scheduled, unattended runs

Cron-driven ingestion that runs daily without a human kicking it off — the pipeline behind edge-context-mode's document indexing runs exactly this way.

Paired with pandas & Airflow

aiohttp handles the fetch; pandas shapes what comes back; Airflow schedules and orchestrates it when the pipeline has multiple stages. See the full Python stack →

Typed, tested, production-shaped

Async function interfaces with type hints — code meant to run unattended on a schedule, not a script that needs babysitting.

Vectorize MCP Worker — Python ingestion pipeline

Python CLI that embeds, chunks, and indexes 100k+ documents into Cloudflare Vectorize on a daily cron. Handles photo tweets with Llama 4 Scout vision descriptions. Zero manual re-indexing — the async ingestion layer is what keeps a 100k+ document pipeline finishing on schedule instead of timing out.

Full technical breakdown →
SEO Audit Agent — Python + Playwright + Claude API

Real-browser SEO co-pilot: backlink qualifier, GSC insights, relevance scorer, cluster audit. Fully open source.

github.com/dannwaneri/seo-agent →
Python 3.11+ aiohttp httpx pandas Apache Airflow Cloudflare Workers Cloudflare Vectorize

51+ articles on freeCodeCamp and dev.to. Every project I ship gets a writeup.

What kind of aiohttp work do you take on?

High-throughput API ingestion and concurrent HTTP pulls — pipelines that need to fetch thousands of records without doing it one request at a time, with rate limiting and retry logic built in.

Have you built ingestion pipelines at scale, not just scripts?

Yes — a Python ingestion pipeline that embeds, chunks, and indexes 100k+ documents into Cloudflare Vectorize on a daily cron, with zero manual re-indexing.

Do you handle rate limits and retries, or does it just fail?

Rate limiting, backoff, and retry logic are part of the pipeline design, not an afterthought added after the third 429 response in production.

Need to pull data at scale, not one request at a time?

High-throughput ingestion, rate-limited API pulls, or a scheduled pipeline — tell me what you're building and I'll tell you if it's a good fit.

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