Anish Rao

Senior AWS Python Developer @ Charles Schwab

About

As a Senior AWS Python Developer at Charles Schwab, I focus on developing scalable RESTful and GraphQL APIs using Python, FastAPI, and GoLang to support financial applications. I contribute to building cloud-native microservices with Docker, Kubernetes, and AWS ECS, while streamlining deployment processes through automation with Terraform, CloudFormation, and AWS CDK. Enhanced system observability with tools such as CloudWatch, Grafana, and Splunk to ensure reliability. Currently pursuing a Master’s degree in Data Sciences at the University at Buffalo, I bring a solid foundation in Computer Science from KL University. My expertise spans Python, Flask, GoLang, and CI/CD practices, with a strong focus on cloud technologies and backend development. Passionate about leveraging modern technology to drive scalable and efficient solutions in the financial domain.

Country

United States

City

Buffalo

Industry

Computer Software

Skill

GoLang, CI/CD, Flask, RabbitMQ, GraphQL, Jenkins, Amazon Web Services (AWS), FastAPI, Kubernetes, Docker, Terraform, ETL Tools, PySpark, Data Engineering, Internet of Things (IoT), Smart Systems, Real-Time Data Processing, Full-Stack Integration, SQL, Data Management

Experience

Senior AWS Python Developer

Charles Schwab

2025-4 - Present · 1 yr 6 mos

United States

• Developed scalable RESTful and GraphQL APIs using Python, FastAPI, and GoLang for financial applications. • Built cloud-native microservices leveraging Docker, Kubernetes (EKS), and AWS ECS to enhance application performance. • Automated infrastructure provisioning with Terraform, CloudFormation, and AWS CDK, streamlining deployment processes. • Improved monitoring and observability through CloudWatch, Grafana, and Splunk, ensuring system reliability.

Senior Python Engineer

Deloitte

2022-9 - 2024-6 · 1 yr 10 mos

India

• Spearheaded the migration of enterprise applications to a cloud-native architecture using Python and GoLang microservices. • Developed secure REST APIs with FastAPI, Flask, and GraphQL, enhancing application performance and security. • Implemented asynchronous event-driven systems leveraging RabbitMQ, AWS SQS, and Celery for improved scalability. • Managed containerized deployments with Docker, Kubernetes, and Terraform, streamlining the development process.

Senior Python Developer

IBM

2021-6 - 2022-8 · 1 yr 3 mos

India

• Developed scalable APIs and backend services using Python, FastAPI, Flask, and GoLang to enhance application performance. • Built ETL workflows utilizing PySpark, Apache Airflow, and Kafka for efficient data processing and management. • Deployed containerized applications on AWS using Docker, Kubernetes, and Lambda, ensuring seamless cloud integration.