Microsoft Azure Data Lead

Experience managing BI and data warehouse projects in an iterative project management methodology
• Hands on experience with Microsoft data and analytics platforms such as Azure Data Factory, Microsoft SQL Server, Azure SQL Database, Azure SQL Managed Instance, Azure Synapse Analytics, Azure Databricks & SQL Data Warehouse
• Experience building and optimizing big data’ data pipelines, architectures and data sets.
• Expertise with T-SQL – queries, stored procedures, functions, views, constraints
• Experience on building Integrations between Power BI and SQL Data Warehouse or Data Lake
• Hands-on professional creation of advanced data visualization and dashboards by using POWER BI
• Proven experience in designing, developing, and implementing POWER BI Dashboards and Reports.
• Hands-on experience with data architecting, data mining, and data modeling.
• Strong experience with data warehouse/data lake development techniques.
• Strong experience with SQL Data Warehouse and ETL solutions such as Azure Synapse Analytics, SQL Server, Azure, Databricks.
• Knowledge of Azure platform services (PaaS) and data stores, including Synapse, Azure SQL DB, Azure App Service, Databricks, Data factory, Azure Functions, etc.
• Knowledge of various aspects of a technology architecture like integration, network, and security
• Ability to develop and write Functional and technical specifications
• Rapidly comprehends the functions and capabilities of new technologies.
• Demonstrated understanding of AI/ML fundamentals
• Ready to think, behave and act in an innovative consulting manner to drive the organization’s digital business strategies.
• Nice to have - Knowledge of Data Science & programming such as Python, R, SAS, Java, or similar.
• Knowledge of Power apps