Raviteja Kommalapati

About Raviteja Kommalapati

Full-stack software engineer with 9+ years of experience specializing in the architecture of high-scale data platforms and resilient cloud-native services. I have a proven track record of leading end-to-end product launches and large-scale migrations that directly impact the bottom line through massive automation and cost optimization

Experience

1. Software Development Engineer Ii

   Amazon

   Sep 2021 — Present · Sunnyvale, CA, US

   Led cross-team collaboration with AWS SMUS, EMR and AWS Glue teams to architect Hive table support for multi-catalog federation in Lake Formation, resolving critical blockers in EMR\'s open-source Spark and Hive clients that enabled unified querying of federated Iceberg and Hive tables, unblocking EMR Serverless SQL launch for 1,400+ Trusted Identity Propagation users running 800K+ monthly queries.• Led cross-functional team of 8 engineers across 3 organizations to architect and deliver end-to-end S3 Tables and Apache Iceberg external table support, coordinating 40+ critical tasks over 6 months to enable unified data consumption across 5+ compute engines (EMR, Athena, Redshift, Glue ETL).• Designed and led implementation of QuickSight SPICE variant system with unified fine-grained access control for 50K+ tables, integrating Redshift Serverless and automated SQL generation framework, resulting in $120K annual savings and 25% faster development cycles.• Led design and rollout of enterprise data-access control plane with event-driven architecture enforcing compliance across 200K+ datasets; built communication framework for 500+ VP-level orgs and executed risk-based migration revoking 2.5M+ permissions (5K to 20K/day) with zero escalations through unified telemetry.• Led platform migration strategy for 20K customers, automating migration of 40K tables from legacy to modern data storage and saving 200K hours of data engineering effort (equivalent to 1 year of manual work).• Architected and led implementation of performance benchmarking framework for Redshift Datashare to ensure successful FGAC rollout for DMA compliance; authored 15+ experiments uncovering 10+ critical functional and performance issues (including 5x query latency between IAD and BOM regions), then scaled framework into multi-compute benchmarking suite running workloads across Spark, Redshift, and Athena with automated latency regression detection.

Education

• San José State University

  Master of Science - MS, Software Engineering

  2018 — 2019

Skills

• C++
• C
• Java
• Javascript
• Sql
• Hibernate
• Html
• Python
• Css
• Webservice
• Spring Framework