You will get API Integration Sprint by Expert Python & Full-Stack Developer
Project details
The goal of the API Integration with Python – End-to-End Implementation is to seamlessly connect external or internal APIs with a Python-based application to enable secure, reliable, and efficient data exchange. This integration ensures that the system can automatically fetch, process, and send data while maintaining performance, scalability, and proper error handling, ultimately supporting the client’s business workflows and technical requirements.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$300
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 15 days |
Number of Revisions | 2 | 3 | 5 |
Number of Pages | 3 | 5 | 8 |
Design Customization | |||
Content Upload | |||
Responsive Design | - | ||
Source Code |
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AT
Afaq T.
Dec 15, 2025
Contract Engineering Advisor for Healthcare Software
Joel is a very sharp software Engineer with deep experience in Healthcare software stacks and flows. He was able to advise and unblock our Software Engineering teams with his subject-matter expertise.
About Joel
Senior Full-Stack Developer | Python, Dlango, React | AI Integration
Jaipur, India - 12:27 am local time
If you need clean architecture, secure APIs, smart automation, or AI integrations, I can help.
🧠 Expertise Areas:
⚙️ Backend & API Engineering
• FastAPI, Django, Django REST Framework
• Secure, scalable REST APIs
• Backend architecture & service design
• Databases: PostgreSQL, MySQL, MongoDB, Redis
🤖 AI, Agents & Automation
• AI agents using LangChain, CrewAI, AutoGen
• RAG systems & OpenAI / LLM API integrations
• Vector databases
• Workflow automation using n8n, Zapier, Python
• Reduce manual work and improve efficiency
☁️ Cloud, DevOps & Scaling
• AWS (EC2, Lambda, S3, RDS, ECS, CDK, CodeBuild, CodeDeploy)
• Dockerized deployments & CI/CD pipelines
• Performance tuning & cost-aware scaling
• Experience with GCP and Azure DevOps
🛠️ Core Technical Skills
Programming Languages
• Python
• JavaScript
• Familiar with: C#, Java, Kotlin, Dart
Frameworks & Tools
• FastAPI, Django, Flask, Node.js, Express.js, React.js, Next.js, Docker, Android
Databases
• PostgreSQL, MySQL, MongoDB, SQLite, AWS RDS, Firebase
Tools & Collaboration
• Redis, Git, Jira, API integrations
📐 Architecture & Engineering Knowledge
I also have hands-on exposure and working knowledge in the following areas and can contribute confidently to well-scoped or guided implementations:
🧩 System Design (LLD)
🏗️ Software Architecture
(Monolith → Microservices → Event-Driven Systems)
🌍 Infrastructure as Code (IaC) using Terraform
⚡ Python Performance Tuning (including Cython)
🧠 AI / LLM / ML Foundations
• LLM APIs
• LangChain
• Vector databases
🏢 Industry & Domain Experience
🏥 US Healthcare software & EHR systems
🧩 ERP & CRM platforms
🧑💼 B2B SaaS products
🛒 Marketplaces
📄 Content Management Systems
🚚 Logistics platforms
✅ Why Clients Choose Me
✔️ 10+ years of real-world engineering experience
✔️ Strong backend + AI + cloud skill combination
✔️ Clear communication & fast response
✔️ Clean, maintainable, future-ready code
✔️ Focused on business outcomes, not just features
I work as a long-term technical partner, not just a task executor.
⚠️ Scope Transparency
• Blockchain → Limited experience
• FinTech / Banking → Open if joining an existing team
• Logistics → Open to scoped projects
I always review requirements carefully before committing 👍
📩 Let’s Talk
If you’re looking for a senior engineer who can design, build, and scale your system with confidence, feel free to message me.
Happy to review your idea and suggest the best technical approach.
Steps for completing your project
After purchasing the project, send requirements so Joel can start the project.
Delivery time starts when Joel receives requirements from you.
Joel works on your project following the steps below.
Revisions may occur after the delivery date.
API Integration with Python – End-to-End Implementation
1. Requirement Analysis Understand business goals and use cases Identify APIs to be integrated Review API documentation and access details