Satyaraj Reddy Nandi

M.S in Information Systems

August 2021 - Dec 2022

Relevant Coursework

• Distributed Systems
• Cloud Computing
• Software Engineering

B.S in Computer Applications

June 2016 - May 2019

Relevant Coursework

• Database Management Systems
• Algorithms & Optimization for Big Data
• Machine Learning

Amazon Web Services

December 2022 - June 2025

Software Development Engineer

• Engineered a high-performance RESTful Go API with AWS IAM authentication and DynamoDB, achieving sub-100ms response times at 300K requests/minute, enabling real-time data access across Amazon’s internal platforms
• Implemented a secure in-memory file transfer system between isolated partitions using AWS Secrets Manager and SQS, ensuring zero persistent storage of sensitive data and boosting file transfer speed by ~50%.
• Built comprehensive Amazon CloudWatch dashboards and alarms for 15+ microservices, improving observability and reducing incident detection time by ~40%, leading to faster incident recovery
• Refactored core service modules to streamline performance (improving execution speed by 40%), and implemented Jenkins-based CI/CD pipelines to automate testing/deployments, cutting release time by ~70%
• Optimized a PySpark-based AWS Glue ETL pipeline on S3, reducing data aggregation runtime by 26% and cutting operational costs by $37K/month through query refactoring and efficient resource scaling
• Designed and implemented a canary testing framework for proactive API health monitoring, enabling early anomaly detection and maintaining ~99.99% service uptime across critical systems
• Automated on-call ticketing workflows by developing a Slack chatbot using API Gateway integrated with Amazon Bedrock + Claude for GenAI-based incident summarization reducing response time by 30% and saving ~10 hours/week in manual ops
• Improved code quality and team velocity by introducing PR templates, review standards, and onboarding docs; piloted AI-assisted reviews using Amazon CodeWhisperer and Bedrock tooling, cutting ramp-up time for new engineers by ~50%

Georgia State University

Aug 2021 - Aug 2022

Graduate Research Assistant

• Analyzed the technology-business announcements of the top Fortune 100 companies using Text Mining technologies
• Data source identification, collection, clean up, processing, maintain database, manipulate complex sets of data
• Visualized using Tableau to identify & interpretrecent technology trends underthe professional guidance of Dr. Andrea

ValueMomentum

Jul 2019 - July 2021

Software Engineer - Data

• Independently executed stratified sampling of insurance data pertaining to New York city based on value metrics, involving close to 3 billion records collectively [Scikit-learn, Keras, Hadoop, PySpark]
• Effectively visualized 16+ robust data points in Tableau to derive key actionable insights
• Increased data retrieval speeds by 28% while building scalable SQL queries for a client’s financial metric reporting system
• Built neural networks using Python for predicting the payback period of loans for Fortune 500 financial firms

Offergasm

July 2016 - Jul 2019

Founder

• Set up a first-of-its-kind aggregator bidding platform for travel agents offering discounted flight tickets & hotel bookings
• Leveraged data analytics to gain business insights & better allocate parameters across the platform, resulting in a massive customer retention of over 40%
• Managed a team size of 9 interns to oversee operations & payment challenges as the company grew to become the official ticket booking partner at Christ University

Languages and Databases

Frameworks

Tools