
Data Engineer with 3+ years of experience transforming complex datasets into actionable insights across diverse industries, including finance and logistics. Expertise developed in financial data analysis, predictive modeling, and supply chain optimization through a progression of increasingly complex roles. Developed intricate SQL queries and Python scripts to extract and transform financial data, visualizing key performance indicators in Tableau for investment product performance. Designed efficient data pipelines using AWS Glue, processed large datasets, and implemented dbt for automated data quality checks, ensuring accuracy for regulatory reporting. Utilized Snowflake for scalable data storage, optimizing retrieval times for complex financial analytics. Built predictive models with scikit-learn to forecast customer churn, informing marketing strategies. Optimized logistics data analysis for supply chain efficiency, identifying bottlenecks, and reducing spoilage. Created interactive dashboards in Tableau and Power BI, significantly improving daily reporting and supporting critical decisions in inventory management and on-time delivery. Delivered consistent measurable business value through advanced data solution design.