• Develop robust data models for diverse application data persistence, both relational and non-relational, using Azure services such as Azure SQL, Azure Cosmos DB, and Azure Synapse.• Design and implement comprehensive data solutions using Azure services such as Azure Databricks to facilitate data scientists.• Develop and maintain efficient ETL pipelines for data ingestion, processing, and storage using Azure Data Factory.• Manage and analyze large-scale data lakes using Azure Data Lake Storage Gen2, facilitating efficient data ingestion and processing for analytics.• Implement stringent data security, compliance, and governance measures.• Monitor and troubleshot data solutions to ensure high availability and reliability.• Developed and maintained non-relational databases using Azure Cosmos DB.• Build and manage APIs for data integration.• Conduct R&D for proofs-of-concept for future applications. • Establish a monitoring process for all applications using Azure AppInsights and Azure Monitor.

• Developed and deployed data management solutions leveraging Azure services.• Created a metadata management system to improve data governance and tracking.• Developed data pipelines in cloud-native environments on Azure.• Automated data monitoring systems to detect and alert on anomalies.• Implemented real-time streaming pipelines enabling near-instantaneous event processing.• Developed ETL processes using SSIS on-premise and Azure Data Factory in the cloud.

• Collaborated with developers to understand and implement business requirements.• Developed and maintained. NET-based applications in a CI environment using C#.• Designed and maintained relational databases using MS SQL Server.• Created stored procedures, user-defined functions, and views; troubleshot T-SQL queries.• Developed and maintained business front-end reports using Crystal Reports.• Developed ETL processes for data movement using SSIS and business reports using SSRS.