Architect

Role & responsibilities Azure Cloud Services (PaaS & IaaS): Proficient in deploying and managing cloud-based solutions using Azure's Platform-as-a-Service and Infrastructure-as-a-Service offerings. Data Engineering & Analytics: Azure Synapse Analytics: Integrated big data and data warehousing capabilities for comprehensive analytics solutions. Azure Data Factory: Developed and orchestrated ETL/ELT pipelines for seamless data movement and transformation. Azure Databricks & PySpark: Engineered scalable data processing workflows and machine learning models. Azure Stream Analytics: Implemented real-time data stream processing for immediate insights. Microsoft Fabric: Utilized AI-powered analytics for unified data access and management.deepaksood619.github.io Business Intelligence & Reporting: Power BI & SSRS: Designed and developed interactive dashboards and reports for data visualization and decision-making. SQL Server Analysis Services (SSAS): Built OLAP cubes and tabular models for multidimensional data analysis. Data Governance & Security: Microsoft Purview: Established comprehensive data governance frameworks to ensure compliance and data integrity. DevOps & Automation: Azure DevOps: Implemented CI/CD pipelines and automated deployment processes for efficient software delivery. Preferred candidate profile Technical Skills: Cloud Computing: Azure-Cloud Services (PaaS & IaaS), Active Directory, Application Insights, Azure Stream Analytics, Azure Search, Data Factory, Key Vault and SQL Azure, Azure Data Factory, Azure Analysis services, Azure Synapse Analytics (DW), Azure Data Lake, PySpark, Microsoft Fabric Database & BI Tools: SQL, T-SQL, SSIS, SSRS, SQL Server Management Studio (SSMS) 2016/2014, SQL Server Job Agent, Import and Export Data, Linked Servers. Reporting Tools: SSRS, Power BI reports, Tableau, Excel