1.Designed and executed T-SQL queries on Azure SQL Database to facilitate reporting and complex solution development, delivering optimized query performance and ensuring data accuracy and reliability in an Azure cloud environment.2.Extensive experience in optimizing and fine-tuning SQL queries, SSIS packages, and SSAS cubes, leading to notable enhancements in data processing efficiency and query responsiveness.3.Implemented robust scripts in Python to seamlessly read CSV, JSON, and Parquet files from Azure Blob Storage containers, orchestrating efficient data extraction and loading processes into various destinations including Azure Blob Storage, Azure Cosmos DB, and Azure Synapse Analytics.

1.Hands-on experience in Azure cloud, specializing in the implementation of large-scale Lambda architectures. Leveraged Azure Data platform capabilities, such as Azure Data Lake, Azure Data Factory, Azure SQL Server and Power BI to design and execute data-driven solutions while meticulously tracking and analyzing key performance metrics.2.Proficiently supported Microsoft Azure systems, including Azure Virtual Machines (IaaS) hosting SQL Server and Azure SQL Database (DBaaS). Successfully monitored and maintained key performance metrics to optimize system functionality and ensure seamless operations.3.Set up and managed Azure DevTest Labs for development and testing environments, optimizing resource usage and costs.v

1.Leveraged Azure Cosmos DB to build globally distributed, low-latency, and highly available databases for applications with high throughput and low-latency requirements.2.Configured and managed Azure Sentinel for security information and event management (SIEM), ensuring the detection and mitigation of security threats within the Azure environment.3.Proficiently crafted intricate visualizations, calculated columns, and custom expressions using Power BI to develop Map Charts, Cross Tables, Bar Charts, Tree Maps, and complex reports, often involving Property Controls and Custom Expressions for enhanced data presentation and insights.

1.Deployed globally distributed and highly available NoSQL databases using AWS DynamoDB, accommodating diverse data models and high availability requirements.2.Ensured secure and controlled access to databases through AWS Identity and Access Management (IAM) integration, enhancing authentication and authorization mechanisms.3.Developed interactive dashboard reports using SSRS, Report Model, and Report Builder, providing users with dynamic data visualizations and ad-hoc reporting capabilities.4.Implemented data masking techniques using Dynamic Data Masking (DDM) and Always Encrypted to protect sensitive information.5.Utilized AWS Glue to orchestrate data workflows and ETL processes, enabling efficient data transformations and integrations.