solution
Python Development .
iSkylar builds Python-powered web applications, REST and GraphQL APIs, automation systems, data pipelines, and AI/ML backends, using Django, FastAPI, and the Python ecosystem to deliver production-grade software that performs under real-world load. From your first MVP to an enterprise platform processing millions of records, our Python team writes code your engineers will confidently inherit.
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What We Build
Django Web Applications
Full-featured web applications built on Django, admin interfaces, multi-tenant SaaS backends, content platforms, and operational tools that leverage Django ORM, authentication, and admin framework without fighting against them.
FastAPI and REST/GraphQL APIs
High-performance API backends built with FastAPI or Django REST Framework, async where performance demands it, fully typed with Pydantic, documented with OpenAPI, and tested with pytest.
Data Pipelines and ETL
Python-built data engineering pipelines using Pandas, Polars, Celery, and Airflow, extracting from APIs and databases, transforming to your schema, loading into data warehouses, and running reliably on schedule.
Process Automation and Scripting
We automate the manual, repetitive work your operations team does daily, report generation, file processing, web scraping, API polling, email workflows, and system integrations.
AI/ML Backend Integration
Python backend services that serve trained ML models via API, FastAPI model serving, async prediction pipelines, batch inference jobs, and monitoring infrastructure that catches model drift before users notice.
Python Performance Optimisation
We profile slow Django views, fix ORM N+1 queries, implement Redis caching, convert CPU-bound tasks to async or worker queues, and tune database indexes.
AI-POWEREDLearn how we work
Delivered faster with AI tooling
We don't just write code; we orchestrate intelligence. By integrating Copilot-assisted generation and AI-driven automated testing, we reduce time-to-market by up to 40%.
Copilot-Assisted Generation
LLM-backed development to eliminate boilerplate delays.
AI Predictive Testing
Anticipating edge cases before they enter production.
ENGINEERED FOR PERFORMANCE
The iSkylar Tech Stack
Python 3.12
Django 5
FastAPI
PostgreSQL
Redis
Celery
Pandas / Polars
SQLAlchemy
Pydantic
pytest
Docker
Kubernetes
AWS Lambda
Airflow
GitHub Actions
Our Development Journey
A streamlined, transparent path from vision to launch.
01
Discovery and Architecture
1–2 weeks
We define your data models, API contracts, async requirements, and queue architecture, and produce a technical spec with stack decisions documented before development begins.
02
UI/UX Design
1–3 weeks
Wireframes and high-fidelity Figma designs for user-facing screens. For API-only backends, we produce an OpenAPI specification reviewed and agreed with your frontend or mobile team.
03
Development
4–14 weeks
Two-week sprints with a working staging environment from sprint one. pytest coverage built alongside features, async patterns applied where throughput demands it, and a weekly demo each sprint.
04
QA and Performance Testing
1–2 weeks
End-to-end API tests, database query profiling, load testing with Locust, security review covering OWASP Python-specific concerns, and coverage gate enforcement.
05
Deployment and Go-Live
3–5 days
Docker containers deployed to AWS ECS, Kubernetes, or your existing infrastructure. Gunicorn or Uvicorn workers configured, Celery queues running, monitoring live.
06
Post-Launch Support
Ongoing
Dependency security updates, performance profiling, Django and FastAPI version upgrades, and feature iteration. GitHub Actions CI runs your test suite on every pull request automatically.
Our Proven Track Record
IMPACTMETRICS
PROJECTS DELIVERED
90+
Python web applications and APIs delivered across SaaS, fintech, and enterprise categories
PERFORMANCE GAIN
71%
Reduction in API response time after Django ORM optimisation, query profiling, and Redis caching implementation
TEST COVERAGE
over 88%
Test coverage achieved on Python codebases we build from scratch using pytest
PIPELINE SPEED
4x
Data pipeline processing time improvement after migrating from Pandas to Polars for a data-heavy analytics backend
INDUSTRY APPLICATIONS
Across Every Industry
See how Python Development solves real problems across sectors.
01
Data and Analytics
FastAPI data platform serving ML model predictions to a trading firm
Sub-50ms P99 response time serving 10,000 requests per minute
02
SaaS
Multi-tenant Django SaaS for HR and payroll management
Scaled to 300 business clients with 99.95% uptime
03
Logistics
Python ETL pipeline processing 5M shipment records daily
Reduced daily processing time from 6 hours to 40 minutes after Polars migration
04
Automation
Internal tooling for document processing and report generation
Eliminated 25 hours per week of manual finance team work
Flexible Engagement
Partnership structures tailored to your scale and velocity.
MVP API
Core Python backend, models, endpoints, authentication, and deployment. Fixed scope, clear timeline, production-ready API your frontend or mobile app can integrate against.
- Defined Scope
- Fixed Budget
POPULAR
Full Product Build
Complete delivery, architecture, design if applicable, Django or FastAPI backend, database, integrations, full pytest suite, CI/CD, and 3 months of post-launch support.
- Full Integration
- Infinite Scalability
Dedicated Python Team
One or more senior Python engineers on a monthly retainer, Django or FastAPI specialists, data engineers, or a mixed squad.
- Defined Scope
- Fixed Budget
"
"iSkylar transformed our legacy banking app into a modern, lightning-fast experience. Their AI-driven approach saved us months in engineering time."
JD
James Donovan
CTO, GlobalFin
"
"The level of technical precision and UI craftsmanship is unmatched. They don't just build apps; they build business advantages."
SL
Sarah Lin
Product Head, LuxeRetail
Frequently Asked Questions
When should I choose Django versus FastAPI?+
Django is right when you need a full-featured web framework, built-in admin, ORM, authentication, and forms. FastAPI is better when performance is the primary concern, async throughput, API-first design, and automatic OpenAPI documentation from type hints.
Do you write tests?+
Yes, pytest from day one, not retroactively. We target over 88% coverage on new builds, test every API endpoint with parametrised test cases, and use factory_boy for fixture management.
Can you optimise our existing slow Django application?+
Yes. We profile using Django Debug Toolbar and py-spy, identify N+1 queries, add Redis caching, convert synchronous bottlenecks to Celery tasks, and tune database indexes. We benchmark before and after.
Can you build data pipelines alongside the web application?+
Yes. Python strength is precisely this combination, web API, data pipeline, and automation in one codebase and one team. We regularly build Airflow-orchestrated ETL pipelines alongside Django or FastAPI backends.
Who owns the source code?+
You do. All Python source, test suites, migration files, Celery task definitions, and deployment configuration are fully transferred at project close.
Ready to build your breakthrough?
Contact us today for a technical consultation and a detailed project estimate.
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