Reddy Sudheer

Designed and implemented enterprise healthcare data pipelines integrating clinical, claims, provider, and member data into centralized analytics on Azure. Built a governed lakehouse with Delta Lake and Databricks, supporting Bronze/Silver/Gold layers and self-service analytics. Developed PySpark and Spark SQL datasets for healthcare reporting and enabled near real-time ingestion using Kafka-based streaming. Implemented HIPAA-oriented governance using Entra ID and access controls, and delivered KPI dashboards in Power BI.

Built scalable, fault-tolerant AWS data pipelines using DynamoDB, Lambda, S3-based ingestion, and workflow orchestration. Optimized Spark SQL processing in AWS Glue/EMR to improve query execution efficiency and supported downstream real-time reporting use cases. Led migrations from on-prem databases to AWS services including Redshift while ensuring secure data transfer. Implemented CI/CD and deployment automation using Azure DevOps for data pipeline delivery.

Delivered healthcare analytics workflows by translating business and regulatory requirements into scalable data pipelines. Designed and optimized data models using Azure SQL Database, PostgreSQL, and MySQL, and built dashboards in Power BI, Kibana, and Matplotlib. Architected cloud warehouse solutions with Azure Synapse Analytics and Snowflake, and automated ETL using Azure Data Factory and Apache Airflow. Implemented streaming and governance patterns with Kafka, Delta Lake, Entra ID RBAC, and compliance controls (HIPAA/GDPR), and created NLP extraction pipelines using NLTK with testing and validation via Great Expectations and pytest.

Supported production deployments by coordinating with DevOps teams for release success, monitoring, and security controls. Created Oozie workflows for Hadoop-based processing and developed Hive/HQL table definitions for loading and querying datasets. Integrated and governed data across Snowflake and BigQuery, and performed data validation and troubleshooting using SQL on Teradata. Used Git and Jira for version control and task tracking, and supported reporting with Power BI during data warehouse migrations.