Designed and developed ETL pipelines, integrating data from 5+ sources to streamline data processing, reduce manual effort by 30%, and ensure smooth data flow using AWS services. Developed and optimized complex SQL queries, improving database performance by 25% for key business applications, including generating real-time analytics dashboards.Participated in release planning and execution, raised change requests to enhance functionality, and provided post-release support, reducing production issue resolution time by 15%.Collaborated with stakeholders and cloud engineers to implement AWS-based solutions that supported secure, scalable enterprise-level applications.Automated data transformations using Python and AWS Lambda, improving data processing efficiency by 40%, reducing errors and latency.

Utilized advanced Excel functions (Power Query, pivot tables, VLOOKUP, INDEX/MATCH, macros) to clean, organize, and analyze sales data from multiple sources.Conducted in-depth sales trend analysis and customer segmentation using Excel’s statistical formulas, conditional formatting, and forecasting tools.Developed interactive Tableau dashboards with calculated fields, parameters, and custom sets to visualize key insights, including sales trends, customer behavior, and inventory optimization.Automated monthly reports in Tableau, providing real-time insights for stakeholders with filters for drill-down analysis.Delivered actionable recommendations, resulting in a 10% reduction in excess inventory and a 15% increase in targeted marketing effectiveness.