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Bhargav Patel

@bhargavpatel1

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Software Development Engineer specializing in Python, cloud, and CI/CD automation.

United States

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What I'm looking for

I seek roles leveraging Python, cloud, and CI/CD to build secure, scalable healthcare systems with measurable impact and growth.

I am a Software Development Engineer with three years of experience building scalable health-insurance and healthcare-focused systems, driven to improve operational efficiency and customer experience.

I have architected automation solutions that reduced claims processing time and built APIs and backend services using Python frameworks such as Django, Flask, and FastAPI, integrating databases like PostgreSQL and Elasticsearch for reliability and observability.

My cloud and DevOps expertise includes AWS (Lambda, ECS, EC2, S3, RDS), Terraform, Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Jenkins), which I used to deploy secure, compliant systems and reduce downtime.

I prioritize secure, data-compliant designs (HIPAA-aware implementations), real-time data integration (Kafka, Pandas), and measurable outcomes—improving processing speed, uptime, and user engagement—while continuously learning and applying modern engineering practices.

Experience

Work history, roles, and key accomplishments

Current

Software Development Engineer

Current

Cigna Inc.

Aug 2024 - Present (1 year 2 months)

Architected and developed a health insurance claims automation system using Python and PostgreSQL, reducing claims processing time and improving customer satisfaction; implemented CI/CD and Terraform-based AWS infrastructure to improve deployment efficiency and reduce downtime by 10%.

Python fastAPI Flask PostgreSQL Apache Kafka Elasticsearch Docker Kubernetes GitHub Actions

Software Developer

Hyperlink Infosystem

Mar 2021 - Oct 2023 (2 years 7 months)

Led design and implementation of Python-based microservices and front-end integrations, improving transaction responsiveness and risk analyst decision speed by 18%; containerized applications and automated deployments using Docker, Kubernetes, AWS ECS/Fargate and Terraform.