• Developed and maintained Python scripts for efficient data processing, transformation, and integration within the Health Information Exchange System, enhancing data workflows and operational efficiency.• Utilized SciPy for advanced mathematical and statistical analyses on health data, facilitating data driven decision-making that contributes to improved health outcomes.• Integrated AJAX technology to enable asynchronous data loading and submission in web applications, significantly enhancing user experience and application responsiveness.• Designed and optimized MongoDB database schemas to efficiently store and retrieve patient health information, ensuring high standards of data integrity and accessibility by 60%.• Created comprehensive documentation for codebases, APIs, and deployment processes, supporting ongoing development efforts and facilitating the onboarding of new team members.• Managed application deployment on Microsoft Azure, leveraging services such as Azure Functions for server less computing and Azure Blob Storage for effective data management.• Created Docker containers to encapsulate applications and their dependencies, streamlining deployment processes and ensuring 45% consistency across both development and production environments.• Employed Lettuce for behavior-driven development (BDD) testing, crafting tests that validate the functionality of user stories to ensure alignment with stakeholder requirements.• Designed and implemented GraphQL APIs to facilitate flexible data queries, allowing clients to retrieve only the necessary data, which optimizes 20% performance while reducing payload size.• Actively participated in Scrum ceremonies, including sprint planning, daily stand-ups, and retrospectives, to foster team collaboration and enhance project delivery

• Collaborated with stakeholders to define the architecture and design of the Retail Inventory Optimization System, ensuring alignment with business requirements and scalability for future enhancements.• Utilized Python frameworks, particularly Django, to develop and maintain robust backend services that managed inventory tracking, stock levels, and order processing efficiently.• Designed, implemented, and documented RESTful APIs that facilitated seamless communication between backend services and frontend applications, ensuring integration was smooth and efficient.• Used semantic HTML5 elements to improve the structure and accessibility of the web application by 25%, ensuring it was SEOfriendly and compliant with web standards.• Utilized CSS3 features,such as Flexbox and Grid, to create responsive web layoutsthat adapted seamlessly across various devices and screen sizes, enhancing accessibility for users.• Designed and managed database schemas using SQLdatabaseslike MySQL, ensuring 75% data integrity while optimizing queries for performance.• Leveraged data analysis libraries such as Pandas and NumPy to analyze sales trends, inventory levels, and turnover rates, providing insights that drove decision-making.• Created reporting features that delivered actionable insights to management and stakeholders, utilizing data visualization tools like Matplotlib for effective presentation of data.• Wrote unit tests and integration tests using frameworks like Pytest to ensure the reliability and functionality of the system by 35% throughout development cycles.