• Developed interactive dashboards using React and Flask for data visualization, enhancing decision-making by presenting complex data intuitively.

• Designed and implemented data pipelines with Nextflow, Python, and Docker, streamlining data processing for timely and accurate results.

• Refactored existing systems to improve performance and scalability, facilitating future development with React and Flask.

• Automated data synchronization between on-premises databases and third-party services using Python and AWS, ensuring data integrity across platforms.

• Extended data platforms to access and process diverse data sources, increasing compatibility and functionality with modern sequencing technologies.

• Conducted data analyses and visualizations to support innovative research, utilizing Python and SQL for flexibility and precision in experimental work.

• Developed an AWS-based web application to collect and analyze market data, providing real-time insights to investment teams with React, Django, and SQL.

• Enhanced portfolio management dashboards, significantly improving latency and user experience.

• Built automated reporting services to monitor operational data, reducing the time needed to identify and address system inefficiencies.

• Implemented unit testing frameworks, ensuring application stability and facilitating the integration of new features.