5+ years as a BI and Azure Engineer, combining technical expertise and business acumen to deliver innovative solutions that enhance data management and analytics. Utilized advanced statistical methods for in-depth data analysis, providing actionable insights for evidence-based decision-making. Optimized data integration performance and resource utilization in Azure Data Factory, ensuring cost-effective data orchestration. Collaborated with data architects and DBAs to improve data structures and queries for enhanced performance in Power BI. Implemented data partitioning strategies on AWS Glue to enhance data storage and retrieval efficiency by organizing data into partitions. Defined and maintained data schema and metadata in Azure Data Lake to support data organization and governance. Applied SQL Server backup compression to reduce backup storage requirements. Managed data retention policies in BigQuery for efficient data management. Created interactive Power BI reports and dashboards with drill-through and drill-down features for detailed data exploration. Designed and developed SSAS cubes, including multidimensional models and hierarchies, to facilitate comprehensive data analysis. Developed and maintained Redshift views to simplify complex queries and provide a logical layer over raw data. Created and managed SSIS checkpoints to ensure package restartability and recovery from interruptions. Led the establishment of data governance frameworks to support organizational data strategy and vision. Developed and deployed machine learning models using Azure Databricks MLlib for intelligent insights and predictions. Implemented Snowflake data deduplication techniques to remove duplicate records. Collaborated with stakeholders to translate reporting needs into effective BI solutions. Implemented data quality and cleansing systems to ensure accurate and reliable data. Ensured data confidentiality and privacy through the design and implementation of report security and access controls in SSRS.