- Data Warehousing (DWH) – design, architecture, and implementation
- Azure Synapse Analytics / Azure Data Warehouse
- Power BI – data modeling, DAX, dashboard/report design, optimization
- SQL – advanced querying, optimization, stored procedures, performance tuning
- Database Knowledge – relational models, indexing, schema design
- ETL/ELT Tools & Pipelines – data integration and orchestration
- Data Modeling – star schema, snowflake schema, SCDs, fact/dimension design
- Data Governance & Security – role-based access, compliance best practices
- Cloud Ecosystem (Azure) – storage, compute, and analytics services
- 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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