Salman Mohammed

Developed reports and business analyses in Tableau, increased data accessibility and enabling strategic business decisions. Administered MS-SQL database backups and Built-in data pipelines using Python increasing data processing efficiency. Streamlined workflows by 30% through cross-team coordination and advanced Excel techniques, including vlookup and Pivot Tables.

Automated workflows and transformations in ADF Led Apache Spark cluster and data processing in Azure Databricks, utilizing Python and Scala for large-scale data transformations Handled high-volume datasets with SQL leveraging PostgreSQL for efficient data management and performance 25% Advanced ETL pipelines for large-scale data integration into Azure and Delivered insights to optimize hotel operations and enhance customer experiences Created interactive dashboards and reports with Power BI and Tableau