Ananya Reddy

About Ananya Reddy

Senior Python Developer with over 8+ years of experience designing, developing, and deploying scalable full-stack applications and microservices in high-pressure financial and automotive environments.Proven expertise in building robust backend systems using Django, Flask, and FastAPI, focusing on high-concurrency and low-latency performance.Deeply experienced in transitioning monolithic architectures into scalable Microservices using Docker, Kubernetes, and asynchronous messaging patterns.Strong background in financial data processing, implementing complex risk-calculation algorithms and real-time trading data pipelines.Extensive hands-on experience with AWS and Azure cloud ecosystems, including serverless computing (Lambda), S3 storage, and managed database services.Expertise in designing and implementing RESTful and GraphQL APIs with comprehensive documentation using Swagger and OpenApi specifications.Proficient in front-end integration using React.js and Angular to deliver seamless, responsive user experiences for internal dashboards and client-facing portals.Advanced knowledge of database management, including schema design, query optimization, and indexing for PostgreSQL, MySQL, and NoSQL solutions like MongoDB.Strong focus on security and authentication, implementing OAuth2, JWT, and SAML to ensure enterprise-grade data protection and user privacy.Skilled in writing comprehensive unit, integration, and end-to-end tests using PyTest, Unittest, and Selenium to maintain high code quality and reliability.Built React and TypeScript components with modern hooks, integrated APIs using React Query and implemented unit tests with Jest / Playwright-style E2E testing.Adept at automating CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions to streamline the deployment lifecycle and reduce time-to-market.Experienced in containerization strategies, managing multi-container environments with Kubernetes orchestration and Helm charts.Strong advocate for Agile/Scrum methodologies, consistently delivering value through iterative development, sprint planning, and collaborative code reviews.Expertise in Version Control systems like Git, managing complex branching strategies and resolving merge conflicts in multi-developer environments.Implemented caching strategies using Redis and Memcached to significantly reduce database load and improve application response times.

Experience

1. Python Developer

   Macquarie Group

   Jan 2025 — Present · Miami, FL, US

   Architected a high-frequency data ingestion engine using Python and FastAPI to process real-time market feeds, ensuring data integrity and sub-millisecond processing speeds for global trading desks.Designed and implemented a distributed task queue system using Celery and RabbitMQ to handle asynchronous risk assessments, reducing the primary application load by 40% during peak hours.Collaborated with quantitative analysts to translate complex financial models into high-performance Python code, optimizing NumPy and Pandas operations for large-scale portfolio simulations.Led the migration of legacy on-premise risk reporting tools to a cloud-native architecture on AWS, utilizing Lambda and Step Functions to orchestrate complex data workflows.Developed a custom authentication layer using OAuth2 and AWS Cognito, providing secure and granular access control for different tiers of internal and external financial stakeholders.Deployed containerized services on AWS ECS (Fargate-style workloads) and Kubernetes, using ALB, autoscaling, IAM roles, and Secrets Manager.Enhanced database performance for a multi-terabyte PostgreSQL instance by implementing partitioning strategies and optimizing long-running SQL queries used in end-of-day reporting.Integrated a comprehensive logging and observability framework using the ELK stack, allowing the team to proactively identify and resolve bottlenecks in the trade execution pipeline.Automated the infrastructure provisioning process using Terraform, ensuring consistent and reproducible environments across development, UAT, and production stages.Spearheaded the adoption of GraphQL for the client-facing dashboard, enabling front-end teams to fetch only the data they need and reducing network overhead by 30%.Maintained 95%+ code coverage by enforcing strict TDD practices and utilizing PyTest for complex integration testing involving simulated market conditions.

Education

• Florida Atlantic University

  Master of Science - MS, Computer Science

• MLR Institute of Technology

  Bachelor's degree, Computer Science