Vidhi Rathod

Senior Data Engineer – Prime Video Personalization & Customer Targeting Amazon | 2021 – Present • Build and own large-scale data platforms that power personalized customer engagement and discovery for Prime Video across email, push, and messaging channels • Design and maintain distributed Spark-based pipelines on AWS that support segmentation, experimentation, and analytics at scale • Lead architectural improvements to modernize legacy data workflows into scalable, parameter-driven systems • Optimize data processing performance and reliability, reducing end-to-end latency by up to 90% and eliminating recurring production issues • Drive infrastructure optimization and platform migrations, reducing compute footprint and operational overhead while improving system stability • Partner closely with product, engineering, and analytics teams to align data platform capabilities with business and customer needs

Data Engineer / Business Intelligence Engineer Amazon | 2020 – 2021 • Designed analytics and reporting architecture to support large-scale forecasting and data science initiatives • Built core metrics and automated pipelines that improved forecast accuracy and delivered significant cost savings

Worked with HR Analytics to analyze patterns of unexpected attrition among seasonal employees • Applied exploratory data analysis and machine learning classification models to identify key drivers of employee churn • Developed insights and recommendations that informed an optimized hiring strategy, reducing seasonal headcount needs and saving ~$7M in salary costs • Delivered findings through an interactive Tableau dashboard for business stakeholders

Built analytics-driven software solutions for Sales and Planning teams to support leadership decision-making • Designed and delivered data integration pipelines enabling predictive analytics and contributing to a 20% increase in revenue • Worked closely with business stakeholders to translate requirements into scalable data and application solutions

(Product solution orchestrated by Siemens Technology Pvt. Ltd was acquired by Cerner Health care)

Contributed to healthcare and insurance analytics platforms serving ~66% of U.S. hospitals, supporting products with $3.2B market presence • Built and optimized data processing pipelines integrating data from 10+ source systems • Helped establish a scalable data architecture framework to support analytics and reporting use cases

Built and optimized enterprise web and backend applications for retail clients • Led development of data pipelines supporting B2B communications for large-scale manufacturing customers • Collaborated with cross-functional teams to deliver reliable, production-grade systems