Prashanth Reddy

Software Engineer @Mastercard

Denton, TX, US

Contributed to building high-throughput Python Kafka producers/consumers and Spark Structured Streaming pipelines on AWS EMR, processing 5M+ global card authorization messages daily for reliable near real-time transaction workflows across distributed systems.• Developed event-driven ingestion workflows using Python services integrated with Amazon MSK (Kafka) and Amazon S3 for durable event storage and replay, helping decouple issuer/acquirer authorization flows from downstream fraud and enrichment services.• Assisted in designing and optimizing MySQL schemas on Amazon RDS for transaction metadata, ISO 8583 responses, and audit logs; performed query optimization and indexing via Python scripts to reduce lookup latency and meet SLA targets.• Built containerized Python microservices for transaction validation, rule-based risk checks, and data enrichment, deploying them to Amazon EKS. Supported Horizontal Pod Autoscaling to handle varying global transaction volumes efficiently.• Developed and enhanced low-latency Python RESTful APIs (FastAPI/Flask) integrated into authorization and fraud decision workflows; implemented JWT/OAuth2-based authentication, structured logging, and input validation to maintain strict performance thresholds.• Improved reliability by implementing idempotent event handling, retry mechanisms, and dead-letter queue processing using Amazon SQS to ensure consistent and accurate transaction lifecycle management.• Enhanced system observability by integrating Python services with Amazon CloudWatch, Prometheus, Grafana, and ELK Stack for monitoring latency, error rates, and transaction metrics.• Supported CI/CD processes using GitHub Actions and Jenkins integrated with Amazon ECR, enabling automated testing, container image versioning, and rolling deployments to EKS environments.