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Hi, I’m Sai Ganesh Rao, a Python Full Stack Developer with around 5 years of experience building scalable, high-performance web applications using Python (Django, FastAPI, Flask), React, TypeScript, and GraphQL. I design and optimize RESTful and GraphQL APIs, improve database performance, and deliver secure, high-traffic user experiences across enterprise and e-commerce domains. I’m proficient with Docker, Kubernetes, AWS, and Azure, with hands-on experience in CI/CD pipelines, Terraform, and cloud-native microservices. I value secure coding and Agile practices, and I enjoy mentoring junior developers through code reviews and collaborative guidance.…Hi, I’m Sai Ganesh Rao, a Python Full Stack Developer with around 5 years of experience building scalable, high-performance web applications using Python (Django, FastAPI, Flask), React, TypeScript, and GraphQL. I design and optimize RESTful and GraphQL APIs, improve database performance, and deliver secure, high-traffic user experiences across enterprise and e-commerce domains. I’m proficient with Docker, Kubernetes, AWS, and Azure, with hands-on experience in CI/CD pipelines, Terraform, and cloud-native microservices. I value secure coding and Agile practices, and I enjoy mentoring junior developers through code reviews and collaborative guidance.

Sai Ganesh Rao

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

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Hi, I’m Sai Ganesh Rao, a Python Full Stack Developer with around 5 years of experience building scalable, high-performance web applications using Python (Django, FastAPI, Flask), React, TypeScript, and GraphQL. I design and optimize RESTful and GraphQL APIs, improve database performance, and deliver secure, high-traffic user experiences across enterprise and e-commerce domains. I’m proficient with Docker, Kubernetes, AWS, and Azure, with hands-on experience in CI/CD pipelines, Terraform, and cloud-native microservices. I value secure coding and Agile practices, and I enjoy mentoring junior developers through code reviews and collaborative guidance.…Hi, I’m Sai Ganesh Rao, a Python Full Stack Developer with around 5 years of experience building scalable, high-performance web applications using Python (Django, FastAPI, Flask), React, TypeScript, and GraphQL. I design and optimize RESTful and GraphQL APIs, improve database performance, and deliver secure, high-traffic user experiences across enterprise and e-commerce domains. I’m proficient with Docker, Kubernetes, AWS, and Azure, with hands-on experience in CI/CD pipelines, Terraform, and cloud-native microservices. I value secure coding and Agile practices, and I enjoy mentoring junior developers through code reviews and collaborative guidance.

Available to hire

Hi, I’m Sai Ganesh Rao, a Python Full Stack Developer with around 5 years of experience building scalable, high-performance web applications using Python (Django, FastAPI, Flask), React, TypeScript, and GraphQL. I design and optimize RESTful and GraphQL APIs, improve database performance, and deliver secure, high-traffic user experiences across enterprise and e-commerce domains.

I’m proficient with Docker, Kubernetes, AWS, and Azure, with hands-on experience in CI/CD pipelines, Terraform, and cloud-native microservices. I value secure coding and Agile practices, and I enjoy mentoring junior developers through code reviews and collaborative guidance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Full Stack Developer at Shopify

April 1, 2024 - November 24, 2025

Lead development of end-to-end web modules using Python (FastAPI/Django) and React, supporting high-traffic e-commerce experiences across global merchants. Built and deployed scalable microservices on AWS (ECS, Lambda, S3, RDS), reducing deployment times by 40%. Designed REST/GraphQL APIs with optimized PostgreSQL queries and Redis caching, cutting data latency by 35%. Implemented CI/CD pipelines with GitHub Actions and Docker. Enhanced UI with modern React/TypeScript interfaces and real-time order tracking via Kafka and WebSockets. Ensured secure authentication with OAuth 2.0/JWT and PCI-DSS considerations. Strengthened observability with ELK Stack and Datadog, reducing issue resolution time by 30%.

Full Stack Developer at Accenture

July 31, 2023 - July 31, 2023

Developed and maintained enterprise-scale web applications using Python (Django/Flask) and React/TypeScript, serving 50K+ concurrent users. Designed REST and GraphQL APIs with tuned PostgreSQL queries and indexes, reducing average response times by 40%. Led migration from monoliths to Docker/Kubernetes-based microservices, increasing deployment frequency by 60% and improving fault isolation. Built reusable React component libraries and standardized UI patterns, boosting development velocity by 30%. Implemented Redis caching and query optimizations reducing DB load and lowering p95 latency by 45%. Automated CI/CD pipelines with GitLab CI and Azure DevOps, lowering release cadence from weekly to daily. Integrated third-party APIs and payments with OAuth2.0 and JWT. Introduced automated testing with PyTest, Selenium, and Postman, improving code reliability and reducing post-release defects. Collaborated on observability dashboards with Prometheus and Grafana, reducing MTTR by 35%. Mentore

Full Stack Developer at Accenture

June 1, 2020 - July 1, 2023

Developed and maintained enterprise-scale web applications using Python (Django/Flask) and React/TypeScript, serving 50K+ concurrent users across multiple client platforms. Designed and optimized REST and GraphQL APIs, tuning PostgreSQL queries and indexes to reduce average response times by 40%. Led the migration of key modules from monolithic systems to Docker- and Kubernetes-based microservices, improving deployment frequency by 60% and fault isolation. Built reusable React component libraries and standardized UI patterns, boosting development velocity by 30% and ensuring consistent design across projects. Implemented caching with Redis and query optimizations that reduced database load and lowered p95 latency by 45% during high-traffic periods. Automated CI/CD pipelines using GitLab CI and Azure DevOps, cutting manual release steps and reducing release cycles from weekly to daily. Integrated third-party APIs and payment gateways using OAuth2.0 and JWT authentication, ensuring secur