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Data Warehousing (DWH) - design, architecture, and implementation
- Azure Synapse Analytics / Azure Data Warehouse
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Power BI - data modeling, DAX, dashboard/report design, optimization
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SQL - advanced querying, optimization, stored procedures, performance tuning
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Database Knowledge - relational models, indexing, schema design
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ETL/ELT Tools & Pipelines - data integration and orchestration
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Data Modeling - star schema, snowflake schema, SCDs, fact/dimension design
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Data Governance & Security - role-based access, compliance best practices
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Cloud Ecosystem (Azure) - storage, compute, and analytics services
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Scripting languages such as Python, Shell, or PowerShell for automation and data handling.
- Exposure to Big Data technologies (e.g., Spark, Databricks, Hadoop ecosystem).
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