Gundreddy Mahalaxmi

Experience

1. Data Engineer

   Amazon

   Apr 2022 — Present

   Developed an LLM (text-to-SQL) analytics agent using Claude 4.5 enabling 70+ product stakeholders to self-serve BI insights for communications domain in Alexa, reducing ad-hoc data requests and saving ~20 DE hours/month. Led a cross-functional AWS cost optimization initiative, partnering with support engineers and program managers to deliver $115K in annualized savings. Designed and optimized an enterprise data warehouse using dimensional (star) schema, improving Amazon Redshift performance and cluster efficiency by 70% through advanced SQL tuning and workload optimization. Onboarded the team to Maestro, a CI/CD coding experience. Trained the team on best practices for version control system and performance tuning. Integrated 250+ new data attributes by partnering with engineering teams, improving data quality by 32%, and enabling deeper user journeys and product analytics. Optimized ETL/ELT pipelines to improve scalability and compute efficiency, reducing aggregate query runtime by ~450 minutes per day across production data workloads. Built scalable hot/cold data models leveraging Amazon S3 for historical data with seamless reload into Redshift, improving cost efficiency and long-term data retention. Build interactive dashboards to analyze the underlying trend of monthly active users in the alexa eco system.

Education

• California State University - East Bay

  Master's degree

  2017 — 2019

• Jawaharlal Nehru Technological University

  Bachelor's degree

  2009 — 2013