Developed and optimized scalable Python applications to improve code efficiencyand reduce processing time, enhancing system performance.Conducted rigorous testing and debugging of Python scripts to minimize softwaredefects and ensure reliable system operation.Automated tasks within the Google Cloud Platform (GCP) environment using Python,resulting in significant operational efficiency gains.Collaborated cross-functionally to design and deploy robust solutions on GCP,utilizing Python for backend development and integrating cloud services like CloudDatastore and Cloud Storage.Automated expiry date notifications using Python and GCP, setting up a system tofetch dates, send email alerts, and manage tasks via Kubernetes for timely execution.Performed data crawling from the ARCGIS platform, developing processes to extract,consolidate, and store data in GCP storage and Elasticsearch. Implemented backendsolutions with Node.js to index metadata in Elasticsearch and created APIs to servethis indexed data, enabling frontend visualization.Developed backend solutions using Node.js to organize and process vendoruploadeddata by inspection year. Created APIs integrated with Vue.js for datavisualization, including a dashboard displaying graphs and counts for specificinspection years.Managed a project for LiDAR data with vendor-specific storage buckets,implementing file validation through cloud functions and managing configurationswith Elasticsearch.Implemented indexing and database storage solutions, retrieving relevant data fromMSSQL for processing, indexing in Elasticsearch, and storing in specialized MSSQLtables.Ensured project sustainability through break-fix processes and continuousimprovement initiatives to uphold system performance and availability standards.