Neha A
Data Engineer @ Optimum Healthcare| Azure Data Engineer (AI/ML) | Databricks | PySpark | Airflow | Kafka | TensorFlow | MLflow | Power BI | Docker | Kubernetes | FHIR/HL7 | HIPAA & GDPR Compliance
- Role
- Data Engineer at Optimum Healthcare Inc
- Location
- Durham, NC, US
- LinkedIn followers
- 500 followers
About Neha A
I’m a Full Stack Software Engineer with 5+ years of experience working with C#, ASP.NET…
Experience
Data Engineer
Feb 2024 — Present · US
As a Data Engineer at Optimum Healthcare, I design and implement scalable ETL pipelines using Azure Data Factory and SSIS to ingest, transform, and integrate data from multiple EHR systems, including Epic and Cerner, ensuring seamless interoperability across clinical platforms. I architect and optimize Azure Data Lake Storage and Azure Synapse Analytics environments to support high-performance structured and unstructured healthcare data, maintaining strict compliance with HIPAA, HITRUST, and GDPR standards.I develop and deploy predictive machine learning models using Azure Machine Learning, AutoML, and MLflow to forecast patient readmission rates, identify high-risk cases, and enhance clinical decision-making. I also apply NLP techniques through Azure Cognitive Services to extract meaningful insights from clinical notes, physician reports, and patient histories, supporting better diagnostic and treatment outcomes.In addition, I engineer risk stratification models using Azure Databricks and PySpark for proactive chronic disease management and implement automated compliance frameworks using Azure Policy and Power BI dashboards. I develop and maintain data validation workflows with Azure Purview and SQL Server to improve data integrity, reducing duplication and inconsistencies across enterprise datasets.My role also includes deploying AI-driven clinical models through Azure Kubernetes Service (AKS) and Azure ML endpoints for scalability and performance optimization. I standardize data exchange across systems using FHIR and HL7 protocols and implement robust security measures, including RBAC, data encryption with Azure Key Vault, and governance through Azure Security Center. By automating infrastructure provisioning and model deployment with Docker and Kubernetes, I help the organization scale analytics capabilities while ensuring data security and operational efficiency.
Education
Lindsey Wilson University
Master's degree, Computer/Information Technology Administration and Management
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