Mahalaxmi Anumula

• Designed and developed scalable ETL pipelines using AWS Glue and PySpark to process healthcare claims and patient data, ensuring HIPAA compliance and reducing pipeline runtime by 30%. • Architected a data lakehouse solution on AWS (S3, EMR, Athena, Redshift) for storing, transforming, and querying large-scale clinical and operational data. • Implemented data workflow orchestration with Apache Airflow, automating ingestion and transformation jobs across multiple data domains. • Developed predictive machine learning models using Python, Scikit-learn, and TensorFlow to identify high-risk patients and optimize care pathways, improving prediction accuracy by 20%. • Created automated Tableau dashboards to visualize claims performance metrics and clinical KPIs, enabling executive teams to track real-time healthcare trends. • Integrated data validation and monitoring frameworks using Datadog and SQL, ensuring continuous quality and consistency of production data. • Collaborated within Agile Scrum teams using Jira and Confluence to manage sprints, document pipelines, and deliver analytics solutions in production environments. • Established CI/CD pipelines with Jenkins and Git, improving deployment efficiency and version control across ETL environments.

• Engineered Azure-based data pipelines using Data Factory and Databricks to integrate and transform large volumes of enterprise data from on-premise SQL Server systems. • Designed and implemented data models and schemas in Azure Synapse Analytics, optimizing query performance for downstream analytics and reporting. • Developed robust ETL workflows using Informatica and SSIS, automating end-to-end data movement and reducing manual intervention by 50%. • Performed advanced data wrangling and preprocessing using Python (Pandas, NumPy) and SQL for high-quality, analytics-ready datasets. • Leveraged Apache Spark for distributed data processing, achieving a 40% improvement in transformation speed for large transactional datasets. • Built interactive Power BI dashboards for procurement and supply chain analytics, driving cost optimization and enhancing supplier performance visibility. • Practiced Agile SDLC methodology, contributing to sprint reviews, maintaining documentation in Jira, and coordinating across global development teams.