● Led architectural improvements to optimize SQL performance and data pipeline scalability. ● Designed and implemented data governance strategies using Microsoft Fabric, including metadata documentation, lineage tracking, access controls, and policy enforcement. ● Developed and maintained ETL/ELT workflows for efficient processing and transformation of large datasets, enabling seamless data integration across multiple systems. ● Enhanced existing SQL Server database systems by identifying improvement areas, troubleshooting issues, and minimizing downtime.

● Reviewed complex data sets, establishing data quality and identifying cleansing needs. ● Translated business requirements into effective data models, leveraging technical expertise. ● Designed and deployed end-to-end ETL/ELT pipelines using PySpark within Azure Synapse and Databricks notebooks, enabling the seamless processing of large datasets for enterprise reporting. ● Built modern data lakehouse architectures in Azure, combining Blob Storage with Synapse for scalable reporting solutions.

● Collaborated with the team to design, model, and maintain Oracle database objects, ensuring alignment with business requirements. ● Developed and maintained ETL solutions, creating new workflows and enhancing existing ones to meet evolving business needs. ● Optimized slow-performing ETL jobs through redesign and process improvements, significantly reducing execution times.

● Designed and deployed scalable data solutions for public/private institutions using Azure Data Services ecosystem. ● Supported implementation of Power BI dashboards and cloud data storage systems. ● Implemented robust data validation, monitoring, and error-handling mechanisms, ensuring high standards of data accuracy and consistency.

● Led data migration and integration projects involving Oracle 12c and SQL Server, ensuring seamless transition of mission-critical workloads. ● Implemented ETL frameworks to integrate academic data across SQL Server, Oracle, and Azure environments. ● Designed data models supporting both transactional and analytical use cases.

● Performed large-scale data mining and quality assurance over telecom datasets, leveraging SQL and ETL workflows for anomaly detection.. ● Engineered automated SQL reporting pipelines that safeguarded over $100,000 in annual revenue by ensuring data accuracy and eliminating manual errors.