Vishvajit Darbar

Sr Python Developer @UPMC

Designed and developed Python-based ETL pipelines to ingest and transform healthcare data from diverse sources, including EHR systems, APIs, and flat files.• Implemented robust data validation mechanisms to ensure data quality and consistency across pipelines.• Developed RESTful APIs using Flask/Django to expose data endpoints for various consumer applications.• Integrated machine learning models into the pipelines to provide real-time insights on patient readmission risks, disease progression, and resource allocation.• Optimized the performance of existing scripts and processes by refactoring Python code and leveraging parallel processing frameworks like Dask and multiprocessing.• Automated deployment processes using CI/CD pipelines with Jenkins and Docker, ensuring seamless releases and rollbacks.• Monitored data pipelines and infrastructure using tools like Prometheus and Grafana, ensuring high availability and rapid issue resolution.• Collaborated with cross-functional teams, including data scientists, DevOps engineers, and business analysts, to align technical implementations with business goals.• Conducted code reviews, provided mentorship to junior developers, and ensured adherence to best practices in software development.• Developed and deployed data processing workflows using Apache Airflow, ensuring efficient scheduling, monitoring, and execution of tasks.• Created automated testing frameworks using PyTest to validate data pipelines and ensure robust performance across environments• Integrated third-party APIs to enhance functionality, including real-time patient monitoring and IoT device data ingestion• Built scalable microservices to handle high-volume data processing, ensuring minimal latency and high throughput.• Optimized database queries and indexing strategies to reduce query execution time for complex analytics dashboards.• Utilized AWS Lambda for serverless computing to manage event-driven workflows and optimize cost efficiency.