Akhila Tanuboddi

Data Engineer @HCA Healthcare

US

Developed a scalable healthcare data platform using Azure Data Lake, Databricks, and Snowflake for real-time and long-term analytics.Designed a modular layered architecture (bronze-silver-gold zones) to organize and maintain data pipelines effectively.Collaborated with stakeholders to gather requirements, define ETL processes, and ensure compliance with data governance policies.Built batch and real-time ETL pipelines using Azure Data Factory, PySpark, and Kafka to ingest and transform diverse healthcare data securely.Implemented role-based and row-level security policies to protect sensitive patient information in compliance with HIPAA and GDPR.Migrated legacy Teradata data and ETL workflows to Snowflake and Databricks, enhancing performance and reducing costs.Integrated data quality checks and centralized logging to monitor data integrity and pipeline health.Automated pipeline orchestration using Apache Airflow and containerized utilities with Docker for scalable deployments on Azure Kubernetes Service.Followed CI/CD best practices with GitHub and CircleCI for reliable testing, deployment, and version control.Enabled BI and ML integration by exposing curated datasets and APIs to support analytics, reporting, and predictive healthcare models.

Northeastern University

Master's degree