- Spearheaded the Science Data System, integrating front and back-end development to enhance data processing and management of terabytes of data daily through advanced use of RabbitMQ.- Achieved a groundbreaking 50x improvement in data ingest efficiency, significantly reducing cloud compute costs by optimizing job processing algorithms and cloud resource utilization.- Developed an ETL pipeline to efficiently process terabytes of satellite imagery, implementing advanced science algorithms, and storing the resulting data in a centralized data lake, facilitating streamlined access for scientific analysis.- Transitioned outdated jQuery interfaces to modern JavaScript frameworks, improving system responsiveness and user experience across multiple projects.- Developed UI testing with Selenium to simulate end-user behavior.- Pioneered the adoption of Elasticsearch and ELK stack for advanced data search capabilities, including facets, filters, and typeahead features, enhancing data accessibility and analysis.- Led multiple open-source projects contributing to NASA's missions, fostering collaboration and knowledge sharing that resulted in adoption by other space agencies.- Moved legacy system architecture to modern containerized deployment with Kubernetes.- Developed Slack Bot to monitor & self terminate long running cloud resources, saving tens of thousands of dollars monthly.- Mentored junior engineers and interns through pair programming, 1-on-1’s and technical discussions.- Onsite via Alpine Solutions.

- Served as the principal data engineer, developing a comprehensive Redshift data warehouse that became the foundational data source for app metric analysis and decision-making.- Designed and executed multiple data pipelines, integrating internal and third-party data to provide holistic insights into user metrics, significantly enhancing strategic planning.- Developed REST APIs and webhook endpoints for streamlined payments and refunds processing, directly impacting customer satisfaction and operational efficiency.- Implemented automated reporting and dashboarding solutions, facilitating real-time decision-making for executive leadership by providing actionable insights into app performance metrics.- Developed application in Next.js to mirror our mobile application.

- Developed and deployed multiple React-based dashboards, centralizing performance data and KPIs, which resulted in a 50% reduction in ad hoc data report requests and an 80% decrease in ticket queue size.- Built all-in-one React application for internal users and clients to view metrics and insights.- Architected a real-time notification service using WebSocket technology, enabling end-users to instantly view workflow changes, enhancing user engagement and system transparency.- Developed batch and jobs and data pipeline to replicate production data from PostgreSQL to Redshift.- Achieved a 95% improvement in ETL job execution times through optimization of data processing tasks, significantly enhancing data throughput and system efficiency.- Automated report generation processes using Dropbox webhooks, SQS, and AWS Lambda, enabling on-demand, client-driven report creation and reducing the need for direct engineering support.- Provided on-call technical support with bug fixes and system monitoring.