CHAITANYA REDDY SANE

Developed healthcare data pipelines using Google Data Fusion to integrate and process diverse datasets. Managed large-scale analytics workloads on Google Cloud Storage with emphasis on availability and security. Implemented data governance and access controls using Google Cloud IAM and standardized metadata management via Cloud Data Catalog. Built cloud data warehousing solutions using Snowflake to improve scalability and query performance. Developed predictive machine learning models for patient outcome forecasting using PyTorch and optimized SQL queries for healthcare research and operational reporting. Automated data workflows using Python and event-driven/serverless components (Google Cloud Functions). Implemented real-time messaging with Google Cloud Pub/Sub and streaming/processing integrations with Google Dataflow. Created dashboards and reporting via Google Data Studio and supported database performance tuning on Google Cloud SQL. Used Terraform for infrastructure provisioning

Designed and delivered financial data solutions using Azure SQL Database based on business requirements. Built and optimized data integration pipelines with Azure Data Factory and implemented real-time processing using Azure Stream Analytics for faster decision support. Deployed and managed Docker containers to standardize development environments. Implemented Snowflake for cloud data warehousing to improve storage, access, and analytics capabilities, including Snowflake data cloning for safe testing. Integrated Azure Active Directory for secure authentication and access controls. Developed predictive forecasting models using PyTorch for financial planning and risk management. Produced executive dashboards and reports using Tableau. Automated ETL workflows with SSIS and serverless processing using Azure Functions. Utilized ADLS for scalable data lake storage and Azure Cosmos DB for globally distributed, low-latency financial applications. Integrated messaging/workflow using Azure Servi

Designed robust data pipelines using Apache Beam to improve processing and integration for IT services. Automated and optimized ETL processes using Talend to increase accuracy and efficiency. Configured Azure Data Factory pipelines for streamlined ingestion and transformation. Leveraged Azure HDInsight for large-scale data processing and analytics. Managed Azure SQL Database implementations with performance and scalability improvements, and supported secure data access via encryption policies in Azure Storage. Used Azure Cosmos DB for globally distributed data availability and reduced latency. Deployed applications with Docker for consistent dev/test/prod environments and worked with Databricks for advanced analytics and machine learning workloads. Implemented real-time streaming and insights through Azure Stream Analytics. Administered authentication and access management using Azure Active Directory. Managed CI/CD workflows with Azure DevOps and documentation/knowledge transfer acros