• Built custom solutions for multiple Fortune 500 healthcare and health insurance companies to automate time-consuming workflows in revenue cycle operations.• Designed Python libraries of helper functions to improve operational efficiency and reduce manual efforts.• Designed and developed RPA (Robotic Process Automation) Python scripts that automate the process of interacting with EHR systems including Epic and Cerner.• Optimized resource utilization by implementing dynamic scaling and automated de-provisioning mechanisms, resulting in an 18.6% reduction in costs associated with idle and underutilized development instances. Implemented cloud cost management strategies, leveraging auto-scaling policies and decommissioning processes for dormant dev machines.• Implemented GitHub Actions workflows to automate and enhance the continuous integration and deployment (CI/CD) processes, resulting in a 40% reduction in manual intervention, a 25% improvement in code quality metrics, and a 30% acceleration of the overall development lifecycle.• Designed and implemented robust data pipelines utilizing AWS services, particularly on AWS RDS (Relational Database Service) and Redshift. Orchestrated efficient data extraction, transformation, and loading (ETL) processes, optimizing data flow and storage for enhanced performance and scalability in support of business analytics and reporting.• Established a comprehensive Monitoring and Logging system leveraging Prometheus and Grafana, enabling real-time visibility into system performance and aiding in effective debugging and optimization for seamless software engineering and DevOps operations.• Participated in on-call rotation for incident management, ensuring swift resolution of critical issues and minimizing downtime.

• Implemented and optimized CI/CD pipelines on Jenkins and actively contributed to Jenkins shared libraries, enhancing the reusability and efficiency of pipeline configurations across diverse projects.• Worked on a self-service onboarding model for engineering teams, automating the provisioning of Cloudbees projects using Terraform and Python. • Integrated Artifactory, Bitbucket, and Cloudbees CI systems, simplifying the entire deployment process and creating a smooth and productive development environment.• Integrated robust and secure DevSecOps practices by incorporating Dynamic Application Security Testing (DAST) and Mobile Application Security Testing (MAST) tooling into the continuous integration and deployment pipelines. • Utilized Infrastructure as Code (IaC) principles, particularly AWS CloudFormation, to orchestrate the seamless deployment of resources across multiple AWS accounts. Collaborated on initiatives aimed at refining the provisioning process, bolstering scalability, and ensuring uniform infrastructure configurations across varied environments.• Communicated effectively the impact of the incidents and time-to-resolution with development leaders from other business units within the enterprise.

• Built a scalable and robust data pipeline for multiple internal applications to provide real-time analysis.• Extracted and loaded significant amounts of unstructured data; created a dashboard usingPlotly & Dash (Python frameworks for building analytical web applications).• Designed an internal dashboard using Bokeh, HTML/CSS, and JavaScript to provide key performance indicators and organizational insights.• Developed consumer-based features and applications using Python and Django in test-driven Development and pair-based programming.• Wrote AWS Lambda functions in Python to perform various transformations and analytics on large data sets in AWS EMR clusters.

• Built a scalable and robust data pipeline for multiple internal applications to provide real-time analysis.• Extracted and loaded significant amounts of unstructured data; created a dashboard usingPlotly & Dash (Python frameworks for building analytical web applications).• Designed an internal dashboard using Bokeh, HTML/CSS, and JavaScript to provide key performance indicators and organizational insights.• Developed Python-based AWS Lambda functions to execute diverse data transformations and analytics tasks on extensive datasets within AWS EMR clusters.