• Contributed to the development and deployment of 5 concurrent projects, handling data acquisition and IoT device integration for cloud-based remote monitoring and control.• Collaborated with senior developers to implement 50+ new features, enhancing user experience and functionality.• Participated actively in Agile sprints, contributing to 15+ successful releases, achieving a 25% improvement in sprint velocity.• Reduced bug resolution time by 30% through proactive troubleshooting and code optimization.• Conducted 50+ code reviews, resolving 25+ critical issues, and providing constructive feedback, resulting in a more robust codebase.• Demonstrated adaptability by successfully transitioning between 5 projects with diverse technologies and requirements while maintaining productivity and quality.• Worked closely with product managers and QA teams to define requirements and ensure seamless integration of new features.

- Played a pivotal role in the data engineering team to optimize data management processes for enhanced efficiency and performance.- Implemented Extract, Transform, Load (ETL) processes to facilitate seamless data flow and integration from diverse sources, significantly improving system performance.- Developed and implemented comprehensive job schedules for data aggregation, resulting in a remarkable 90% increase in data refresh frequency, ensuring stakeholders had access to timely and up-to-date information.- Leveraged expertise in automation to create robust scripts that streamlined data processes, reducing manual effort by 60% while enhancing data accuracy.- Spearheaded the development of reporting features to visualize aggregated data, providing stakeholders with intuitive insights into key metrics and trends.- Collaborated closely with cross-functional teams to gather requirements and design solutions tailored to meet business needs effectively, demonstrating a commitment to driving impactful outcomes through technology.