Experienced Data Professional with 5.1 years of expertise in transforming raw data into strategic insights that improve business performance. Proficient in the modern cloud data ecosystem, specializing in Snowflake for scalable data warehousing and architecture design. Strong in SQL for complex data modeling, query optimization, and troubleshooting. Experienced in deploying and managing data pipelines using AWS components (S3, Athena), and scripting with Python for automation and tooling. Adept at developing and deploying robust dashboards and paginated reports using Power BI, and leading end-to-end BI projects within Agile methodologies.
• Developed dynamic dashboards and interactive reports in Power BI, integrating data insights with SQL queries and custom visuals for retail KPIs, sales performance, and client portfolios.
• Built and optimized complex data models using calculated columns, measures, and relationships, improving report performance and analytical capabilities.
• Developed complex DAX measures, calculated columns and tables, and leveraged Power Query for data transformation, including splitting columns, merging data, and removing duplicates.
• Implemented Row-Level Security (RLS) in Power BI to ensure appropriate user data access as per requirements.
• Automated ETL processes using SQL and integrated with Power BI for real-time analytics, ensuring data accuracy and effectiveness in the data warehouse.
• Acquired and integrated data from diverse sources, including SQL Server, Excel, Flat Files, and APIs, for comprehensive analysis and reporting.
• Published and managed Power BI dashboards via Power BI Service, enabling collaboration and maintaining automated data refresh schedules using Power BI Gateway.
• Worked within Agile methodologies, interpreting progress metrics and applying Agile techniques for efficient project execution in BI projects.
CLIENT PROJECTS
DOMAIN: Healthcare JAN 2024 TO AUG 2025
CLIENT: Med-Care Hospitals
TECHNOLOGY: Power BI, SQL Server, AWS (Athena, S3 Services)
* Extracted and integrated data from Electronic Health Records (EHR) systems and operational databases using SQL Server for healthcare analytics in Power BI.
* Managed and queried large-scale healthcare data stored in AWS S3 utilizing AWS Athena for data preparation and transformation.
* Developed interactive dashboards in Power BI to visualize key performance indicators (KPIs) such as patient wait times, bed utilization rates, and readmission rates.
* Collaborated with healthcare professionals to translate data insights from Power BI and SQL into actionable strategies for enhancing patient care and operational workflows.
DOMAIN: Finance MAR 2022 TO OCT 2023
CLIENT: Global Investment Bank
TECHNOLOGY: Power BI, SQL Server, Snowflake
* Architected and developed the financial reporting system in Snowflake, leveraging its features for scalable warehousing and high-performance querying.
* Utilized advanced Snowflake-specific SQL features (e.g., Materialized Views) to achieve query optimization and faster report generation on large financial datasets.
* Developed financial dashboards in Power BI by connecting to Snowflake, providing real-time insights into revenue trends and expense forecasts.
* Implemented robust data governance frameworks and role-based security measures in SQL and Power BI to protect sensitive financial information.
DOMAIN: Retail AUG 2020 TO FEB 2022
CLIENT: Emirates Business Group
TECHNOLOGY: Power BI and SQL Server
* Collected, transformed, and centralized data from multiple sources (sales, inventory, customer records) using SQL and Power Query.
* Created visually engaging dashboards in Power BI, showcasing retail KPIs, sales performance, and inventory trends to support data-driven decision making.
* Leveraged advanced DAX functions to build calculated measures, custom visualizations, and interactive reports with Drill Down and Drill Through features.
* Streamlined data workflows and optimized Power BI reports for faster loading times and real-time data accessibility.
Cloud Data Warehouse