Data / Bi Analyst
Current• Designed and maintained ETL processes using T-SQL and SSIS for data extraction, loading, and transformation.• Implemented Tableau BI Dashboard reporting solution for actionable insights into business performance.• Integrated Python scripts in Power BI to enhance data quality and efficiency.• Utilized Azure Data Factory and Azure Databricks for unstructured data transformation.• Optimized Looker Studio performance by fine-tuning SQL queries, caching strategies, and data modeling techniques, resulting in faster report rendering and improved user experience.• Conducted training sessions and provided documentation to educate users on how to leverage Looker Studio for self-service analytics, empowering teams to make data-driven decisions independently.• Experienced in leveraging C# to optimize performance and enhance the functionality of Power BI solutions for data visualization and analysis.• Proven track record of effectively utilizing C# to interact with databases, including Azure SQL Database, ensuring seamless data integration and management.• Experienced in implementing Agile development methodologies, utilizing C# to rapidly prototype and iterate on solutions in response to changing business needs.• Developed SQL queries, stored procedures, and triggers for data retrieval, manipulation, and reporting.• Conducted performance tuning activities for Power BI reports and AAS models to enhance query performance and reduce data retrieval times.• Implemented version control for Power BI reports and AAS models, ensuring traceability and rollback capabilities.• Integrated Power BI reports with SQL databases, Tableau dashboards, and SAP ERP systems.• Led the design and implementation of T-SQL and SSIS ETL pipelines for financial data.• Demonstrated proficiency in Power Query and M language for efficient data extraction in Power BI's dataflows.