United States
👋 Hi, I’m Pragya — a Backend & Distributed Systems Engineer with 5+ years of experience delivering high-scale, high-impact systems. Currently at Amazon Prime Video, I build and optimize large-scale notification pipelines serving 10M+ events/day, driving measurable customer engagement and platform reliability. What I’m great at: ⚡ Designing scalable microservices & distributed systems ⚡ Building real-time data pipelines (Kafka, Spark, Streamsets) ⚡ Optimizing performance, latency & throughput ⚡ Strengthening reliability with throttling, circuit breaking & automation ⚡ Cloud-native development on AWS, GCP, Azure Key wins: 🔹 +9% customer engagement, -25% opt-outs via high-volume pipeline redesign 🔹 30% reduction in operational load through AWS Lambda automation 🔹 40% system load reduction + 35% throughput improvement at Naukri 🔹 Led monolith → microservices migration (50% faster deployments) I’m passionate about scalable backend engineering, cloud systems, and solving complex performance problems. Open to connecting with teams building for scale!
• Architected and deployed a high-volume (10M+ daily) staggered-send distribution system (SQS, Java) that intelligently optimized notification timing, resulting in a 9% increase in customer engagement and a 25% reduction in opt-out rates. • Drove critical SRE initiatives by developing serverless AWS Lambda functions to fully automate notification lifecycle management, reducing manual operational overhead by 30% and preventing system-induced errors by 10%. • Elevated platform reliability by implementing proactive rate throttling and circuit-breaking mechanisms across critical API calls, complemented by a 70% increase in E2E test coverage for high-volume pipelines.
Course : DSCI 352 (Applied Machine Learning and Data Mining)
Grader for Robotics Learning (Phd level course). Qualified the prerequisites of Machine Learning and Artificial Intelligence for the position
Helping students with doubts in programming languages, data structures & Artificial intelligence concepts. Also grading students homework and projects.
• Engineered and optimized data pipelines, reducing data processing duration by 30% and automating critical workflows, which not only streamlined operations but also led to receiving the Best Performer recognition for outstanding performance. • Supervised a group of 4 junior developers in an Agile setting, elevating code quality through comprehensive reviews and root cause analysis (RCA), enhancing code quality by 25%. • Led the transition of a legacy PHP codebase to a contemporary microservices-based Java framework, achieving 98% test coverage and decreasing deployment duration by 40%, boosting system reliability and maintainability.
• Developed real-time data processing systems using Apache Kafka, enhancing data speed by 30% and lowering system latency by 20%, improving overall performance. • Coordinated Kubernetes deployment systems using Jenkins for CI/CD, significantly boosting deployment efficiency and increasing system scalability by 50%. • Designed and fine-tuned ETL processes utilizing Streamsets, raising data throughput by 50% and reducing manual efforts by 95%, streamlining data operations.
• Founding member of the Delhi Chapter of Rise All Foundation. • Led the creation of the IGDTUW chapter with a team of 10 in 2015. • Drove initiatives to educate underprivileged students. • Established key partnerships with schools to broaden impact. • Conducted regular English and math classes, making a tangible difference.