from fastapi import FastAPI
app = FastAPI()
@app.get("/health")
def health():
return {"status": "ok"}
@app.get("/v1/items")
def items(limit: int = 50):
return [{"id": i, "name": "Item %d" % i} for i in range(limit)]
from django.urls import path
from django.http import JsonResponse
def health(request):
return JsonResponse({"status": "ok"})
urlpatterns = [ path("health/", health) ]
import pandas as pd
df = pd.read_csv("sales.csv")
report = df.groupby("region")["amount"].sum().reset_index()
report.to_csv("sales_by_region.csv", index=False)
Python Development Built for Scale
APIs, data pipelines, automation, and dashboards using Django, FastAPI, Celery, and cloud-native tooling.
- FastAPI & Django REST
- ETL • Airflow • Pandas
- Serverless & Containers
Where Python Fits Best
High-impact scenarios we deliver with Python.
Data APIs
FastAPI/Django REST for secure, versioned data access with caching & RBAC.
ETL Pipelines
Batch & streaming ETL with Airflow, Pandas, and cloud storage.
Automation
Ops scripts, back-office automations, and integrations that save hours.
Dashboards
Operational & BI dashboards with auth, filters, and export.
ML Serving
Low-latency model endpoints, feature stores, and monitoring.
Integrations
Clean connectors to CRMs, payment gateways, and ERPs.
Delivery Timeline
Shaped for speed, safety, and learning.
Blueprint
Requirements, architecture, success metrics, risk analysis.
MVP Sprints
Short cycles, demoable increments, feedback tight.
Hardening
Security, performance, QA gates, migration plans.
Launch & Observe
Automated release, dashboards, alerts, SLOs.
What We’re Great At
Real value, shipped fast—with quality and observability.
Backend APIs
FastAPI/Django REST, GraphQL, BFF patterns.
Automation
Bots, schedulers, RPA, internal tooling.
Integrations
Stripe, Slack, OAuth, webhooks, partner APIs.
Data & ETL
Airflow/Prefect, ingestion, quality checks.
Analytics
Pandas/Polars, dashboards, reporting.
Cloud Native
Docker/K8s, Lambda/Cloud Run, CI/CD.
What Clients Say
A few words from teams we’ve helped scale.
“They delivered a FastAPI backend in weeks with great docs and observability.”
“Data pipeline reliability jumped to 99% with Airflow and proper alerts.”
“Their Django upgrade + CI/CD cut our deploy time from 30m to 4m.”
FAQs
Quick answers to common questions.
Usually within 3–7 business days, depending on scope and team.
Yes—Docker, K8s, Terraform, CI/CD, and cloud IaC are part of delivery.
Every project includes API docs, runbooks, and architecture notes.
Let’s build your Python roadmap.
Free 30-minute consult + clear estimate.