Amir User

I build secure, high-throughput backend systems and data workflows that help enterprise teams move from raw inputs to reliable analytics. At Sogolytics, I designed and developed FastAPI-based ingestion services and delivered REST API endpoints using SQLAlchemy that improved bulk retrieval and processing throughput by ~40%.

I focus on scalable architecture and operational clarity. I’ve containerized microservices with Docker and Kubernetes, integrated PostgreSQL for analytics at tens of millions of survey responses, and automated ETL pipelines to sync feedback sources with BI dashboards—accelerating data access for decision-makers. I also developed internal reporting tools that reduced manual reporting by ~20% and supported predictive analytics initiatives using Python, pandas, and Prophet.

Earlier, I strengthened API security and data performance with Java, Spring Boot, and 42crunch, and optimized Neo4j graph structures with Cypher queries. I’ve migrated services to Google Cloud Apigee and produced documentation to improve engineering alignment, and as an intern I built React Redux dashboards and PostgreSQL reporting queries to improve visibility into operational metrics.