# Krupali Patel > Software Development Engineer II at Amazon | Ex-AWS, AT&T Location: San Francisco Bay Area, United States Profile: https://flows.cv/krupali I’m a Senior Software Engineer with 6+ years at Amazon, building scalable distributed systems that power pricing, promotions, and communication platforms used by millions worldwide. My experience spans full-stack development, cloud architecture (AWS), and big data pipelines, with a proven track record of delivering systems that improve efficiency, accuracy, and revenue impact. I thrive at the intersection of system reliability, AI innovation, and cross-team collaboration, mentoring engineers and driving architecture that scales. Leveraging my expertise in Java, AWS, TypeScript and scalable cloud solutions, I aim to create innovative tools that streamline workflows and improve user experiences. By collaborating closely with cross-functional teams, I focus on delivering impactful systems that drive adoption and efficiency across Amazon's global operations. I enjoy combining technical depth with leadership, mentoring, and problem-solving to deliver systems that scale and drive real business results. ## Work Experience ### Software Development Engineer II @ Amazon Jan 2022 – Present | Sunnyvale, California, United States • Led architecture and design decisions for Amazon's pricing and promotion systems, enhancing revenue optimization strategies. • Developed bulk promotion management tools, resulting in a 20% increase in product adoption and streamlined workflows. • Built economic forecasting models enabling data-driven business decisions. ### Software Development Engineer I @ Amazon Web Services (AWS) Jan 2021 – Jan 2022 | East Palo Alto, California, United States • Developed advanced video background processing features (background blur and replacement) for Amazon Chime SDK using JavaScript and Android, enhancing real-time video capabilities. • Designed and implemented a highly available CDN distribution strategy with CloudFront, Lambda, and S3 for optimal global performance. • Built a comprehensive Selenium-based testing framework, significantly reducing manual testing overhead and improving release velocity. ### System Development Engineer I @ Amazon Web Services (AWS) Jan 2019 – Jan 2021 • Developed and maintained scalable Java applications for over 500K daily active AWS accounts, ensuring high performance. • Implemented Infrastructure as Code using CDK, CloudFormation, and Lambda for automated deployments. • Expanded internal services to 20+ AWS regions, enhancing global service availability and user experience. ### Cloud Engineer @ Amazon Web Services (AWS) Jan 2018 – Jan 2019 • Provided technical guidance on cloud architecture and AWS service optimization for Business and Enterprise customers. • Resolved complex technical issues across AWS services like EMR, Glue, Athena, and DynamoDB, enhancing system performance. • Assisted in implementing AWS CLI and Java SDK solutions, creating reusable code examples for customer integration. ### Software Engineer Intern @ AT&T Jan 2017 – Jan 2018 | United States • Developed and deployed the project that automatically raises alert on daily basis for the unexpected data on the cluster. This project replaced manual effort of detecting and handling non-compliant data by 80%. Technologies: Python, Hadoop, HIVE, Unix, Cron, MySQL • Researched on data governance solutions that AT&T can take advantage of to ensure that data meets compliance and privacy requirements • Researched on blockchain technology to create a data audit trail • Working on creating a solution that can help analyze and visualize the data so as to find various areas of profitability: 1. Data Ingest - Ingest data from different file formats into HDFS - Load data into and out of HDFS using the Hadoop File System commands 2. Transform, Stage, and Store - Convert a set of data values in a given format stored in HDFS into new data values or a new data format and wrote them into HDFS. - Load RDD data from HDFS for use in Spark applications - Read and write files in a variety of file formats - Perform standard extract, transform, load (ETL) processes on data 3. Data Analysis using Spark SQL - Query DataFrames in Spark - Filter data using Spark - Write queries that calculate aggregate statistics - Join disparate datasets using Spark - Produce sorted data • Built a solution for text analysis to identify and categorize the cost as spend or repair. • Developed an Ingestion Pipeline to pull data from RDBMS, transform the data and automatically generate matrix every month Technologies: Spark, SparkSQL, Scala, Hadoop, HIVE, Pig, Solr, Banana, Sqoop ### Graduate Assistant @ The University of Texas at Dallas Jan 2016 – Jan 2017 | Dallas/Fort Worth Area • Conducted TI- Innovator club. http://www.garlandisd.net/node/7593 • Mentored Sachse High School students to create an innovative solution for automating water irrigation system using Texas Instrument Innovator hub. http://www.nbcdfw.com/news/local/Sachse-Students-Inventing-Water-System-for-Africa-400256561.html • Taught Programming Languages like Java, Python, C++, Javascript, Scratch, Alice to High School students ### Software Engineer @ Infosys Jan 2014 – Jan 2016 | Hyderabad • Redesigned the real-time survey processing system that enhances user experience and improves processing time • Created a solution that can help translate the reports generated from production into different language as per the client requirements. Created SQL queries, Procedures and Packages • Components Testing/Support for BAKER HUGES • Designed an automated system that can help improve the internal recruitment process of Infosys. • Analyzed the business requirements and designed a complete solution for online shopping • Developed a service-oriented web application that can handle cart functionality and client-side validations • Tested and implemented the solutions developed earlier Technologies and Tools: ADO.NET, ASP.NET, C#, MVVM, PRISM, WCF, WPF, SQL, .Net, AJAX, XAML, Framework, Visual Studio, TFS (Team Foundation Server), MS SQL Server ## Education ### Master’s Degree in Computer Science The University of Texas at Dallas Jan 2016 – Jan 2018 ### Bachelor of Engineering (BE) in Computer Engineering Gujarat Technological University (GTU) Jan 2010 – Jan 2014 ## Contact & Social - LinkedIn: https://linkedin.com/in/krupalipatel4 - GitHub: https://github.com/krupali-patel --- Source: https://flows.cv/krupali JSON Resume: https://flows.cv/krupali/resume.json Last updated: 2026-03-22