Database Engineer
Current• Designed, developed, and maintained ETL processes using T-SQL and SSIS for data extraction and loading into the data warehouse.• Created efficient Stored Procedures, Functions, Indexes, Tables, and Views, establishing T-SQL scripting standards.• Implemented Tableau BI Dashboard reporting solution and administered an enterprise-wide Tableau application.• Integrated Python scripts for data preprocessing in Power BI, enhancing data quality.• Built Pipelines in Azure Data Factory and utilized Azure Databricks for unstructured data transformation.• Developed SQL queries, stored procedures, and triggers for data retrieval, manipulation, and reporting.• Configured and maintained connections between Power BI and Apache Databricks data lakes, ensuring seamless data retrieval and synchronization for up-to-date reporting.• Led the design and implementation of T-SQL and SSIS ETL pipelines for financial data.• Optimized Power Query processes by minimizing data load times and enhancing query efficiency through meticulous management of query steps and data source settings.• Designed and implemented custom functions within Power Query to automate complex data processing tasks, increasing reusability and reducing manual effort across multiple reports.• Implemented version control for Power BI reports, SSIS packages, and SSAS models.• Designed interactive reports for common contact center processes, such as agent scheduling, adherence tracking, and call center quality assurance (QA) metrics, enhancing the visibility of operational KPIs.• Developed and maintained complex Crystal Reports for financial, operational, and performance analysis, ensuring data accuracy and integrity.• Integrated external APIs with Power BI using JavaScript to bring in real-time data from various web services and third-party applications.• Implemented real-time data updates in Power BI dashboards using JavaScript, ensuring that users always have access to the most current data.