Prachi Bari

About Prachi Bari

As a Data Engineer at Amazon, I create impactful solutions for various business challenges. I have a proven track record of delivering high-quality results, as evidenced by my recognition within six months of joining the team for tracking customer experience metrics across all marketplaces globally.I have built an impressions and search datamarts for Delivery Experience using PySpark, which provides valuable insights into customer behaviour and preferences. I am passionate about applying my skills and knowledge to solve real-world problems and drive business growth.Skills - Redshift, Spark, SQL, Python, ML

Experience

1. Data Engineer

   Amazon

   Nov 2021 — Present · Bengaluru, IN

   Sole Data Engineer for Amazon’s Delivery Experience team, supporting 10 Marketplaces, leading sprint planning, goal setting, and work planning, while working closely with Product, Analytics and ML teams to understand their challenges and align data solutions accordingly.Designed and built a scalable Impressions datamart by orchestrating large-scale batch ETL workflows to process 5̃TB/day of clickstream data from a centralized data lake using Spark on EMR, transforming complex nested JSON into an optimized data model for product recommendation signals across the e-commerce funnel in Emerging Markets. Enabled ML and analytics teams to surface high-performing content, influencing placement strategies and driving $60K in annual cost savings. Delivered analytics-ready outputs to Redshift for downstream BI, experimentation, and weekly business reviews.Partnered with Research Scientists to enhance customer experience analysis for Amazon Pay by leveraging Amazon Bedrock (GenAI) to summarize chat transcripts and feedback at scale.Responsible for addressing privacy and compliance requirements, including onboarding datasets to on-demand deletion environments and managing AWS account risks related to policy updates.

Education

• Savitribai Phule Pune University

  Bachelor of Engineering (BE), Computer Engineering

  2010 — 2014

• Aegis School of Business, Data Science & Telecommunication

  Post Graduate Program, Machine learning

  2018 — 2019

• Udacity

  Machine learning Nanodegree, Machine learning

  2017 — 2018

Skills

• Public Speaking
• C++
• Html
• Microsoft Word
• Microsoft Office
• Javascript
• Windows
• Java
• Teamwork
• C
• Programming
• Powerpoint
• Microsoft Excel
• Sql
• Linux
• Customer Service