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Hi, I’m Chandra Dondeti, a Full Stack Python Developer with 4+ years of experience building scalable, high-performance web applications using Python (Django, FastAPI, Flask) and React. I work with REST/GraphQL APIs, PostgreSQL, and cloud-native tech (AWS, Docker, Kubernetes) to deliver robust, maintainable solutions for finance and enterprise clients. I focus on clean code, test-driven development, and Agile collaboration, delivering end-to-end features, microservices, and real-time capabilities that reduce latency and deployment times. I’ve led initiatives in microservices architectures, CI/CD pipelines, and AI-powered insights (RAG with OpenAI/Gemini) to drive measurable business value.…Hi, I’m Chandra Dondeti, a Full Stack Python Developer with 4+ years of experience building scalable, high-performance web applications using Python (Django, FastAPI, Flask) and React. I work with REST/GraphQL APIs, PostgreSQL, and cloud-native tech (AWS, Docker, Kubernetes) to deliver robust, maintainable solutions for finance and enterprise clients. I focus on clean code, test-driven development, and Agile collaboration, delivering end-to-end features, microservices, and real-time capabilities that reduce latency and deployment times. I’ve led initiatives in microservices architectures, CI/CD pipelines, and AI-powered insights (RAG with OpenAI/Gemini) to drive measurable business value.

Chandra Dondeti

Full Stack Developer, Web Developer, Back-End Developer, +2

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Hi, I’m Chandra Dondeti, a Full Stack Python Developer with 4+ years of experience building scalable, high-performance web applications using Python (Django, FastAPI, Flask) and React. I work with REST/GraphQL APIs, PostgreSQL, and cloud-native tech (AWS, Docker, Kubernetes) to deliver robust, maintainable solutions for finance and enterprise clients. I focus on clean code, test-driven development, and Agile collaboration, delivering end-to-end features, microservices, and real-time capabilities that reduce latency and deployment times. I’ve led initiatives in microservices architectures, CI/CD pipelines, and AI-powered insights (RAG with OpenAI/Gemini) to drive measurable business value.…Hi, I’m Chandra Dondeti, a Full Stack Python Developer with 4+ years of experience building scalable, high-performance web applications using Python (Django, FastAPI, Flask) and React. I work with REST/GraphQL APIs, PostgreSQL, and cloud-native tech (AWS, Docker, Kubernetes) to deliver robust, maintainable solutions for finance and enterprise clients. I focus on clean code, test-driven development, and Agile collaboration, delivering end-to-end features, microservices, and real-time capabilities that reduce latency and deployment times. I’ve led initiatives in microservices architectures, CI/CD pipelines, and AI-powered insights (RAG with OpenAI/Gemini) to drive measurable business value.

Available to hire

Hi, I’m Chandra Dondeti, a Full Stack Python Developer with 4+ years of experience building scalable, high-performance web applications using Python (Django, FastAPI, Flask) and React. I work with REST/GraphQL APIs, PostgreSQL, and cloud-native tech (AWS, Docker, Kubernetes) to deliver robust, maintainable solutions for finance and enterprise clients.

I focus on clean code, test-driven development, and Agile collaboration, delivering end-to-end features, microservices, and real-time capabilities that reduce latency and deployment times. I’ve led initiatives in microservices architectures, CI/CD pipelines, and AI-powered insights (RAG with OpenAI/Gemini) to drive measurable business value.

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Expert

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Intermediate

Work Experience

Full Stack Developer at Berkshire Hathaway

July 1, 2025 - Present

Developed and maintained high-traffic financial web applications using Python (FastAPI) and React; integrated REST/GraphQL APIs with PostgreSQL, reducing API latency 45% for real-time portfolio tracking. Implemented microservices architecture with Docker and Kubernetes on AWS ECS; enabled zero-downtime deployments and improved scalability for peak trading volumes. Engineered Python conversational AI with RAG (OpenAI/Gemini) for internal insurance and regulatory knowledge, delivering fast, compliant insights to risk/compliance teams and driving measurable cost savings. Designed interactive dashboards with React and Redux for real-time financial insights and increased user engagement. Integrated event-driven messaging with Kafka for asynchronous processing and improved fault tolerance.

Software Engineer at Citizens Bank

September 1, 2023 - June 1, 2025

Engineered full-stack banking features using Python (Django) and React; developed secure transaction processing and account management modules, improving user satisfaction 30%. Streamlined payment architecture with UI consolidation and concurrent API execution, achieving 6x faster checkout by eliminating sequential dependencies and redundant network calls. Built RESTful APIs and integrated third-party services (payment gateways, credit scoring); redesigned API architecture using asyncio with aiohttp to reduce average API response time from 3-5s to 400-800ms. Orchestrated multi-environment CI/CD pipelines using Jenkins with Docker containerization, deploying applications to AWS ECS while leveraging Amazon ECR as the container image registry, successfully managing automated deployments across 20+ microservices and maintaining 99.9% system uptime. Participated in Agile ceremonies and sprint delivery for digital banking initiatives.

Python Developer at Mphasis

November 1, 2019 - December 1, 2021

Developed backend services using Python (Flask/Django) and integrated with PostgreSQL; supported enterprise financial applications for global clients. Built and optimized REST APIs; handled high-volume data processing and reduced response times 40% through caching and query optimization. Implemented secure authentication & authorization with OAuth2; ensured compliance with financial data protection standards. Automated testing and deployment workflows; contributed to early CI/CD adoption with Git and Jenkins. Wrote unit/integration tests with PyTest and Jest; achieved 90% code coverage and mentored junior developers on Python best practices and clean architecture.