Revathi
Professional Summary
Senior Python Full Stack Engineer with 6+ years of experience designing, developing, testing, and maintaining enterprise web applications using Python, Django, FastAPI, Django REST Framework, React.js, and RESTful APIs across telecom, financial, and enterprise domains. Strong end-to-end SDLC experience including backend architecture, API design, data processing with pandas and SQL, containerization with Docker, and cloud deployment on AWS.
Technical Skills
Work Experience
- Designed and implemented Django/Django REST Framework backend services and RESTful APIs to support telecom operational workflows and reporting, integrating with SQL Server and AWS RDS for reliable data access and persistence.
- Developed reusable React.js components and dashboard screens using React, Redux, Bootstrap and integrated them with backend APIs to surface operational metrics and streamline user workflows for business users.
- Built data processing pipelines using Python, pandas and SQL to clean, transform and prepare large telecom datasets for reporting and analytics; leveraged Apache Spark concepts for distributed DataFrame operations where required.
- Optimized complex SQL Server queries and indexing strategies, improving query performance for operational reports and reducing database load during peak processing windows.
- Containerized services with Docker and supported Kubernetes/ECS-based deployments on AWS (EC2, ECS); automated consistent build and deployment processes to improve release reliability.
- Implemented secure API patterns and access controls using OAuth, JWT and API key validation; performed production troubleshooting, incident debugging and root-cause fixes to improve service stability.
- Developed backend services and transaction-processing workflows using Django, Django REST Framework and FastAPI to implement clearing, settlement and compliance business logic for high-volume financial data.
- Built FastAPI endpoints for internal integrations to improve API performance and enable efficient communication between transaction systems and reporting modules.
- Implemented reporting dashboards and data visualizations in React.js by integrating backend APIs to display trade, settlement and operational metrics for compliance and operations teams.
- Designed and executed data validation and ETL pipelines using Python, pandas and SQL (PostgreSQL, SQL Server) to transform trade datasets and ensure accuracy for regulatory reporting.
- Improved API reliability by implementing robust error handling, retry strategies, timeouts and idempotency controls; performed API testing and exception analysis to reduce failures in production integrations.
- Applied secure coding practices and data protection measures for sensitive financial information; led production issue resolution and collaborated on performance tuning for backend processing logic.
- Implemented backend modules and REST APIs using Python and Django to support business workflows, integrating with SQL Server for transactional data storage and reporting needs.
- Developed React.js UI components and integrated them with backend services to deliver responsive user interfaces and improve user interaction with operational applications.
- Created data processing scripts using pandas to validate and prepare datasets for reporting, enabling more efficient report generation and analytics consumption.
- Performed unit testing, debugging and defect resolution across the application stack; participated in code reviews to improve code quality and maintainability.
- Supported application deployments and production troubleshooting using Git-based workflows and Agile practices; contributed to release activities and rollback procedures.
- Assisted in application design and requirement analysis by reviewing technical requirements, database schemas and integration points to implement maintainable solutions.
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