Hire Python Developer — APIs, pipelines, and automation built for real traffic
Hiring a Python developer is easy; hiring one who designs for concurrency, failure, and scale is not. I build and lead Python systems — FastAPI services, Django platforms, Celery workers, async pipelines — with the observability and testing discipline production demands. You get senior architecture, not just scripts that happen to run.
I'm Omer Muneer Qazi, a Dubai-based Fractional CTO & Solutions Architect with 15+ years of experience and 100+ projects delivered across 6 countries. Your build gets one accountable owner: scoped milestones, weekly demos, and reviewed code. For the Django-specific track, see hire a Django developer.
Senior Python engineering for production systems
FastAPI & Async Services
High-throughput APIs built on FastAPI and asyncio with proper connection pooling, background tasks, and OpenAPI docs — designed for the concurrency your load actually needs in production.
Django Platforms
Full Django builds with the ORM used properly, DRF APIs, and migration discipline that keeps deploys boring instead of terrifying. I fix N+1 queries, locking issues, and migration hell before they reach production.
Celery Task Queues
Reliable background processing with Celery and Redis: retries, dead-letter handling, and monitoring so failed jobs get noticed instead of silently dropping. I design idempotent tasks that survive worker restarts.
Data Pipelines & ETL
Pipelines that validate, transform, and load without silent corruption: schema checks, backfill strategies, and alerting when source data changes shape unexpectedly. Built with Pandas or Polars and orchestrated for reliable reruns.
Testing & CI Discipline
Pytest suites, type checking with mypy, and CI pipelines that block bad merges. Coverage targets on critical paths, not vanity metrics across the repo, so regressions get caught before deploy.
Dependency & Security Hygiene
Pinned requirements, virtualenv discipline, and CVE scanning on every dependency. Upgrades planned deliberately instead of discovered during an incident. I audit your lockfile and document the safe upgrade path.
From discovery to handover
A structured engagement with no surprises — you’ll always know what’s happening and what’s next.
Technical Discovery
We review your goals, data flows, and existing code in a focused session, then I define the architecture, milestones, and what done looks like.
Design Before Code
Data models, API contracts, and queue topologies get agreed up front, so the build never stalls on decisions that should have been made earlier.
Iterative Delivery
Tested, reviewed code ships weekly to staging with a live demo. You see real progress every seven days, not a big reveal at the end.
Handover & Runbooks
Documentation, deployment guides, and monitoring setup your team inherits. I stay available for the next phase when you’re ready to scale.
Why hire Python through a Fractional CTO
Python projects usually die from invisible complexity: tangled async code, untested data pipelines, and dependency trees nobody dares upgrade. Across 100+ projects in 15+ years, I’ve learned to spot those failure modes early — and to build the testing, typing, and observability that keep Python systems boring in production.
One accountable owner, scoped milestones, and weekly demos you can verify. If that working style fits, start the conversation on my hire page. You’ll always know what’s done, what’s next, and when it ships.
Frequently asked questions
What Python frameworks do you work with?
FastAPI for high-performance APIs, Django and DRF for full platforms, Flask for lightweight services, and Celery for background work — chosen by fit, not fashion, for your specific problem.
Can you rescue a struggling Python project?
Yes. I audit the codebase, tests, and infrastructure, stabilize the critical paths first, then refactor toward a sane architecture with your team in the loop throughout.
How do you handle data-heavy workloads?
With profiling first: I measure where time and memory actually go, then optimize queries, add caching or streaming, and parallelize safely — never premature optimization on guesses.
Do you write tests?
Always. Pytest suites with meaningful coverage on critical paths, plus type checking and CI gates. Untested code doesn’t ship to your production on my watch — that’s non-negotiable.
How do we start?
A discovery call to understand the problem, then a scoped proposal with milestones and timeline. Most engagements kick off within one to two weeks of that first conversation.
Let’s scope your Python build
Tell me what you’re building — API, platform, or pipeline — and I’ll return a scoped plan with an honest timeline.