Nilay Rana
Senior Software Engineer - Python @CVS Health
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WORK HISTORY
Senior Software Engineer - Python @CVS Health
New York, NY, US
Designed and deployed a Flask-based inventory management platform supporting 10K+ records, improving stock visibility and reducing manual reconciliation efforts.• Built scalable application logic using modern Python 3.x features, ensuring high performance, clean code structure, and long-term maintainability.• Developed backend services and RESTful APIs using Flask, Django, and FastAPI to support web and mobile applications with secure, high-performance data exchange.• Built secure RESTful APIs using Flask and SQL Alchemy for products, suppliers, and warehouses, implementing RBAC-based access control.• Designed and implemented APIs to support inventory operations, analytics, reporting, and third-party integrations.• Integrated MySQL on AWS RDS, designing normalized schemas, indexes, and relationships to efficiently handle large-scale transactional and analytical data.
EDUCATION
Eastern University
Master of Science, Data Science
Gujarat Technological University (GTU)
Bachelor of Technology - BTech, Computer Science
ABOUT NILAY RANA
I’m a Senior Python Software Engineer with 5+ years of experience building scalable backend systems, data-driven applications, and secure REST APIs across healthcare, enterprise, and product-based environments.My core strength is Python backend development, where I design clean, high-performance services using Flask, Django, FastAPI, and Django REST Framework (DRF). I’ve delivered APIs that power real-world applications, integrate smoothly with React frontends, and handle high-volume transactional and analytical workloads.I have strong hands-on experience with AWS (EC2, S3, RDS, Lambda, EKS), Docker, and Kubernetes, building production-ready systems with scalability, reliability, and security in mind. I regularly optimize databases, improve API performance, and design schemas that support both operational needs and ML-ready analytics.My background includes data processing and automation, building ETL pipelines using Python, Pandas, NumPy, and SQL to process large datasets, generate reports, and streamline business workflows. I also bring a solid foundation in Machine Learning concepts, enabling effective collaboration with analytics and ML teams.I work comfortably in Agile/Scrum environments and take ownership of backend systems from design through deployment.Tech Stack:Python (3.x), Flask, Django, FastAPI, DRF • REST APIs, SQLAlchemy • PostgreSQL, MySQL, MongoDB • AWS • Docker, Kubernetes • Pandas, NumPy • CI/CD, Git New Jersey, USA🟢 Green Card Holder | Open to full-time & contract roles
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