Amey Pradip Sawant

Optimized web application performance by 35% using Python frameworks (Django, Flask), significantly enhancing user experience and system efficiency.

Directed cross-functional teams, including UX designers and QA analysts, in building multi-tenant web applications with React and Python, reducing development timelines by 10%.

Architected and deployed highly available Python microservices with FastAPI and AWS, ensuring seamless REST API integration and scalable cloud architecture.

Reduced code defects by over 100 through implementing Test-Driven Development (TDD) and rigorous PyTest unit testing, enhancing system reliability and maintainability.

Implemented over 50 workflows using Google Cloud services and storage, significantly enhancing data reliability and operational efficiency.

Led the implementation of RPA solutions with Automation Anywhere, guiding a cross-functional team using Agile methods to achieve a 75% increase in efficiency through reusable automation frameworks.

Developed Python Selenium scripts with BeautifulSoup to extract over 10,000 dynamic web data records, ensuring data accuracy and reliability through Captcha handling and automated validation.

Implemented rigorous testing methodologies for IBM Cognos Reports, halving project delivery time and improving accuracy of management reporting.

Automated testing scripts and optimized over 500 SQL/PL/SQL queries, reducing errors and ensuring reliable data for departmental decision-making.

Enhanced SDLC efficiency using PyUnit and Selenium, lowering post-deployment issues and saving time for the IT team.

Authored technical documentation and conducted code reviews, accelerating new team member onboarding and reducing knowledge gaps.

Developed a responsive interface serving 200+ internal users, boosting robotic workflow uptime by 60% and streamlining production workflows.

Guided a 5-developer Agile team through sprint planning and task execution to deliver a web application that enhanced management monitoring and decision-making capabilities.

Optimized SQL queries, reducing average data retrieval time by 45% and significantly improving server responsiveness.

Revamped the Vendor Management System (VMS) with Angular and Node.js, improving backend performance by 85% and reducing delays in vendor and customer workflows.

Designed and deployed robust RESTful APIs, facilitating faster, more reliable front-end and backend communication and enhancing user satisfaction.

Streamlined deployment pipelines using Docker and Kubernetes, accelerating release cycles and ensuring consistent system performance.