• Developed a distributed system for A/B experimentation, predicting the impact of hardware, firmware, and software changes on Azure’s customer experience, reducing hardware AIR by over 200%.• Designed and implemented microservices with Node.js and Kubernetes, ensuring scalable and modular system architecture.• Led large-scale projects from planning to deployment, ensuring alignment with business goals and customer needs.• Led engineering team, driving process improvements for performance and system reliability.• Collaborated with cross-functional teams in Agile environments to deliver high-quality solutions.• Enhanced system scalability and performance while ensuring minimal impact on user experience.• Conducted performance benchmarking and testing to ensure system upgrades maintained reliability.• Optimized cloud infrastructure, resulting in significant cost savings and improved resource utilization.• Developed and deployed innovative solutions to meet evolving business requirements, driving efficiency across the organization• Created technical documentation and facilitated knowledge sharing within the team

• Design and development of web pages, ensuring seamless integration and functionality across both client and server sides.• Contributed to the entire software development lifecycle, including requirement analysis, design, coding, and unit testing.• Played a key role in developing microservices, ensuring scalable, reliable, and efficient back-end solutions.• Developed server-side logic and ensured smooth data interaction between web applications and third-party systems.• Streamlined business processes by building automated frameworks and systems, improving operational efficiency.• Designed and optimized database structures, working closely with various entities to ensure data integrity and accuracy• Managed project workflows using tools like JIRA and Confluence to ensure project delivery on time and within scope.

• • Extended Hybris item models for data modeling to meet business needs.• Executed MySQL queries via Python for efficient data handling and processing.• Used project management tools to track tasks and improve team performance.• Developed back-end systems and REST APIs using Python and Django.• Applied design patterns to improve code reuse and system performance.• Processed large datasets using Pandas and SQL for data analysis.• Identifying areas of improvement within an organization's business processes.