Mana

About Mana

Multiple years of experience designing, building, and managing large-scale, secure cloud data architectures on Microsoft Azure. Proven expertise in Azure services like VMs, AKS, Blob Storage, Load Balancers, Cosmos DB, and Databricks. Strong data engineering skills including building robust ETL pipelines and data pipelines using Python. Agile and SDLC proficiency in delivering data solutions within defined timelines and methodologies. Strong proficiency with backend language like Python and it’s framework and libraries. Good understanding working with front-end frameworks like JavaScript for developing web pages. Epic data mapping, migration, and integration specialist. Extensive experience in transforming and integrating complex healthcare and retail data sources.

Experience

1. Senior Cloud Data Architect

   UnitedHealth Group

   Jul 2023 — Present

   Project: Enhanced healthcare applications by leveraging Azure cloud services and Epic systems to create a scalable and secure data infrastructure. Implemented Azure Data Lake and Data Warehouse for efficient data storage and processing, while integrating Epic’s EHR systems to streamline data exchange between healthcare providers. Developed robust ETL pipelines using Azure Data Factory to ensure seamless data flow and improve accuracy. Applied advanced security measures to protect sensitive patient information and ensure compliance with regulatory standards. Optimized data processing performance and facilitated actionable insights through advanced analytics and reporting. Designed and deployed scalable cloud infrastructure using Azure Virtual Machines (VMs) and Azure Kubernetes Service (AKS) to support high-availability healthcare applications. Implemented Azure Blob Storage for efficient and cost-effective management of unstructured healthcare data, enhancing data accessibility and retrieval. Configured Azure Load Balancer to ensure reliable access and distribution of healthcare application traffic, improving performance and user experience. Utilized Azure Cosmos DB for global distribution and low-latency access to patient data, optimizing data retrieval and supporting real-time analytics. Leveraged Azure Databricks for processing and analyzing large volumes of healthcare data, facilitating advanced analytics and actionable insights. Engineered robust ETL pipelines to automate data extraction, transformation, and loading processes, improving data accuracy and integration. Seamlessly integrated Epic’s Electronic Health Record (EHR) systems with Azure cloud services, enabling efficient data exchange between Epic and other healthcare applications to ensure a unified view of patient information. Integrated Epic systems with Azure services to streamline data exchange and enhance the accuracy and efficiency of patient information management.