Mandani Sweta

Results-driven Python Backend Engineer with 5+ years of experience at Tata Consultancy Services (TCS), delivering scalable, high-performance backend solutions for global enterprise clients. Core strength in Python, with hands-on production experience in Flask and FastAPI, RESTful API development, and microservices architecture following Agile and Scrum methodologies. Hands-on experience with PostgreSQL for schema design and query development.

Familiar with Django architecture, ORM, and REST development. Skilled in OAuth2 and JWT-based authentication, cloud platforms (AWS & Azure), CI/CD pipeline automation using Jenkins, and Kubernetes deployments. Recognised with Star of the Quarter Award (2026) and TCS AI Idea Igniter Award (2025) for innovation and delivery excellence.

Microsoft Azure

Fundamentals (AZ-900) certified.

Systems Engineer, C1 - Tata Consultancy Services (TCS) - Bangalore, India

(2021-07)

Systems Engineer, C1 - Project 1: Multi-Cloud Agnostic Platform - Tata Consultancy Services (TCS) - Bangalore, India

(2023-06 - 2026-06)

Contributed to designing and developing a multi-cloud agnostic backend platform following Agile/Scrum methodology, enabling consistent deployment across cloud environments.

• Designed and developed RESTful APIs using Flask and FastAPI for core backend platform services, following Agile sprint cycles and delivering features on schedule.
• Designed database schemas and wrote optimised queries in PostgreSQL to support core platform data models, ensuring data integrity and reliable performance under production load.
• Implemented unit tests using pytest with 80%+ code coverage, reducing production bugs and improving release confidence across services.
• Designed and deployed Kubernetes workloads via Helm Charts, standardising application deployment and reducing release cycle time by ~35%.
• Integrated OAuth2-based authentication and JWT token management into APIs, ensuring enterprise-grade security compliance and DevSecOps best practices.
• Built and maintained Jenkins CI/CD pipelines with Git and JFrog Artifactory integration, enabling automated build, test, and deployment workflows.
• Enforced code quality standards by integrating SonarQube into CI pipelines, reducing vulnerabilities by 30% and achieving cleaner code reviews.
• Led cloud migration of backend services to new infrastructure clusters, improving security posture and reducing operational costs.
• Authored HLD and LLD documentation for architectural reviews, onboarding, and compliance audits across Agile sprints.
• Collaborated with cross-functional global teams in Scrum ceremonies — sprint planning, reviews, and retrospectives — for continuous delivery.

Systems Engineer, C1 - Project 2: Automation Patching System - Tata Consultancy Services (TCS) - Bangalore, India

(2021-10 - 2023-04)

Designed and delivered an end-to-end automated patching backend system for servers across production environments, following Agile practices to ensure security compliance and operational reliability.

• Engineered a Python-based automation patching framework eliminating ~80% of manual effort, with Git-managed codebase and peer code review process.
• Built a queuing mechanism using RabbitMQ to sequence patch execution across hundreds of servers, ensuring reliable and consistent rollout.
• Developed Flask-based RESTful microservices to orchestrate patching workflows with API Gateway hooks for real-time monitoring and control.
• Wrote comprehensive unit tests using pytest for all patching modules, ensuring reliable automation with full regression coverage.
• Contributed to monolith-to-microservices migration, decomposing legacy patching scripts into independently deployable backend services.
• Executed cloud migration of patching services to Azure infrastructure clusters, achieving improved security, DevSecOps compliance, and cost optimisation.
• Monitored application health using Grafana dashboards, enabling proactive issue detection and SLA adherence across production environments.

Bachelor of Engineering - Computer Engineering - SAL Institute of Technology & Engineering Research (2021-05)