Anshuman Singh

• Architected and deployed scalable data pipelines using AWS Lambda and Step Functions, processing 10+ million records daily with 99.9% uptime and reducing data processing latency by 40%. • Designed and implemented RESTful APIs for real-time data ingestion from multiple sources, enabling seamless integration between microservices and supporting 500+ requests per second • Optimized DynamoDB data models for high throughput read/write operations, improving query performance by 60% and reducing infrastructure costs by 30% • Developed event driven data processing workflows using AWS SQS and SNS, enabling real time data streaming and notification systems for downstream consumers

• Designed and built end to end ETL pipelines extracting data from DynamoDB, performing complex transformations using PySpark, and loading into data warehouse for analytics • Implemented scalable BI data pipelines using AWS SAM with nested stacks, creating reusable infrastructure templates that reduced deployment time by 50% • Accelerated data processing performance by 3x through pipeline optimization, parallel processing implementation, and strategic use of AWS services like S3 and Athena

· Developed an SES mailer for monitoring website uptime and alerting in case of errors. · Created a serverless URL shortener using AWS services, enabling redirection functionality. · Implemented a coupon validator system using JavaScript. · Worked on a POC for converting CSV files to Parquet format using Athena workflows.

· Guided students in mastering Data Structures and Algorithms, clarifying concepts and solving doubts. · Evaluated assignments, debugged students' code, and provided constructive feedback to improve their programming skills. · Conducted one-on-one sessions to address individual challenges and help students excel in competitive programming.

Data Mining, Data engineering