Prasad Dangare

Engineered scalable data pipelines for pharmaceutical analytics via ZS Associates, processing high-volume HCP data. Led SOAP to REST migration and built a robust Cvent API integration layer with OAuth2, retries, pagination, and rate limiting. Developed multi-threaded data extraction processing 1M+ records per run. Built ETL pipelines and reusable Pandas modules, implemented chunk-based processing, and automated workflows to improve scalability and efficiency.

Built and optimized REST APIs using FastAPI, improving response time and validation accuracy. Designed SQLAlchemy-based data models to enhance query performance and maintainability. Implemented transaction handling and rollback mechanisms to ensure data integrity. Improved database session management to prevent memory leaks and enhance system stability. Leveraged asynchronous processing to reduce API latency.

Built backend services for an IoT monitoring platform, enabling real-time analytics on device data. Implemented secure authentication and access control using NGINX. Developed Docker-based microservices with auto-recovery and health checks. Improved API performance by 12% through enhanced validation and error handling. Containerized applications for scalable deployment and reduced downtime.

Developed Flask APIs integrated with Pandas, improving data processing efficiency by 10%. Built reusable REST modules, reducing code duplication by 20%.

Bachelor of Computer Applications (2019 – 2022) with coursework in programming, data structures, database management systems, and web development. Developed a strong foundation in software engineering principles and practical application development.