Available to hire
Python Full Stack Developer with 4+ years of experience building scalable enterprise applications in financial services, telecom, and cloud platforms. Strong expertise in Python backend development, microservices architecture, REST APIs, and event-driven systems using Kafka.
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Work Experience
Python Full Stack Developer at Adobe Systems, USA
May 1, 2025 - PresentDesigned and developed FastAPI-based Python microservices for high-traffic Adobe SaaS applications handling 1M+ daily requests. Built AI-powered content automation modules using Azure OpenAI Service and LangChain, improving processing efficiency by 35%. Migrated legacy services to Azure Kubernetes Service (AKS) to improve scalability by 40% and implemented an event-driven architecture with Kafka for real-time analytics event processing. Optimized PostgreSQL queries and introduced Redis caching to reduce API latency from 420ms to 180ms. Implemented OAuth2.0 and JWT authentication for enterprise security supporting 100K+ users. Built CI/CD pipelines with GitHub Actions and Azure DevOps, reducing deployment time by 60%, and developed responsive React.js + TypeScript UI components for enterprise dashboards.
Python Full Stack Developer at Tech Mahindra (Client: Verizon), India
September 1, 2023 - July 1, 2024Developed scalable backend services using Python Flask and Django REST Framework for telecom operations. Built real-time streaming pipelines with Kafka to process network telemetry data. Designed operational visibility dashboards using Angular 15. Deployed containerized services using Docker and Kubernetes across AKS/EKS hybrid environments. Automated infrastructure provisioning with Terraform and Azure DevOps pipelines and supported hybrid cloud integration across AWS and Azure. Reduced API response time by 30% using optimization and Redis caching, and delivered weekly production releases with zero-downtime deployments in Agile sprints.
Python Developer at Wells Fargo, India
June 1, 2021 - August 1, 2023Built backend services for secure banking transactions using Python, Django, and Flask, and developed ETL pipelines with Apache Airflow for financial reporting. Implemented data validation and fraud detection rules, reducing anomalies by 25%. Integrated REST APIs with internal banking systems for real-time transaction processing. Improved SQL query performance by 40% and containerized applications with Docker deployed via Jenkins CI/CD pipelines. Assisted migration from monolithic applications to microservices architecture for improved maintainability, and supported QA automation with PyTest and Selenium.
Education
Master’s in Computer Science at Texas A&M University – Corpus Christi
August 1, 2024 - May 1, 2026Master’s in Computer Science at Texas A&M University – Corpus Christi
August 1, 2024 - May 31, 2026Qualifications
Industry Experience
Financial Services, Telecommunications, Software & Internet
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Expert
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