Data Platform Consultant

Data Platform needs:
Azure Fundamentals: Understanding of Azure subscriptions, resources, and resource groups. Familiarity with Azure regions, availability zones, and the Azure portal.
Azure Data Services Knowledge of tool set: Azure Microsoft Fabric -- end to end lifecycle.
Azure Azure SQL Database: Provisioning, performance tuning, scaling, and security.y
Azure Cosmos DB: Understanding of NoSQL databases, partitioning, consistency models.
Azure Data Factory: Data integration and ETL processes.
Azure Blob Storage and Data Lake Storage: Management, performance, security, and data lifecycle.
Azure Stream Analytics: Real-time data streaming and analytics.
Azure Databricks & HDInsight: Big data analytics solutions. (lower priority)
Azure Synapse Analytics: Knowledge of data warehousing, data integration, and analytics.

Skills:
SQL: Writing, optimizing, and debugging SQL queries.
Data modeling: Normalization, star schema, snowflake schema
Familiarity with SDKs and APIs associated with Azure data services.
Integration with other Azure services or third-party applications.
Experience in one or more programming languages like C#, Python, or Java can be beneficial.
Azure Monitor, Azure Log Analytics, and Application Insights.
DP-203 certification

Optional but helpful:
Azure Active Directory and role-based access control (RBAC)
Tools like Azure Data Migration Service, SSIS (SQL Server Integration Services).
Strategies for migrating data from on-premises or other clouds to Azure.