Anjaneyulu Yarrapothu

About Anjaneyulu Yarrapothu

Engineering Leader with 9+ years in data engineering and 5+ years in application engineering, building hands-on, production-grade Data & AI platforms that make enterprise data reliable, fast, and easy to use.At Rakuten Rewards, platform capabilities are architected and shipped end-to-end, partnering across product, data, and application engineering, while staying close to the code. Recent impact includes: • Built an in-house data platform to move data from applications to the data warehouse, onboarded 21 teams and powering 10k+ pipelines • Reduced Snowflake cost ~20% annually through warehouse optimizations and query profiling techniques • Reduced processing time from 8 hours to 30 minutes for DW tracks by migrating pipelines from PySpark to Spark (Scala) for improved performance and parallelism • Built an in-house AI platform to develop, deploy, and monitor ML models, and migrated legacy ML models onto the new platform • Delivered GenAI automation for member service using OpenAI, AutoGen multi-agent framework, and RAG patterns • Scaled the platform with real-time streaming (Apache Flink) and implemented data catalog + lineage (customized Amundsen)Comfortable across the stack: Python, Scala, Java, SQL, Snowflake, Spark/PySpark, Flink, Kafka, AWS, SageMaker, Docker, Kubernetes, OpenAI, AutoGen (Multi-Agent), MCP, RAG, Claude Code with strengths in performance, reliability, governance, and developer experience.

Experience

1. Sr Engineering Manager

   Rakuten Rewards

   Apr 2023 — Present

Education

• Andhra University

  Bachelor of Engineering(BE), Electronics & Instrumentation Engineering(EIE)

  2006 — 2010