Harry Schiller

Designed and maintained scalable data pipelines for e-commerce transactions, building ETL workflows for MongoDB and PostgreSQL. Integrated backend systems with analytics dashboards, automated data validation, and optimized queries. Collaborated with frontend teams and deployed containerized services with Docker and Kubernetes to ensure reliable, high-performance data processing.

Built and optimized a cancer analytics data portal with Node.js, GraphQL, and PostgreSQL. Developed ETL pipelines to clean, transform, and load multi-source research data. Designed database schemas, ensured data accuracy, and collaborated with data scientists to provide structured datasets. Monitored query performance and integrated backend APIs for seamless real-time data access.

Developed backend systems and data logging tools for industrial automation, including PLC frameworks and OPC UA servers. Built APIs and Codabix data bridges to connect shop floor devices with enterprise databases. Implemented ETL workflows for multi-protocol PLC and IoT data, created dashboards for monitoring, and optimized database performance for reliable, real-time industrial data collection.

Specialized in Computer Science, studied image processing, AI and software development. Being involved in a computer science club, started web development early.