▪ Designed and implemented a robust data pipeline and ETL jobs to generate credit scores for sellers on Amazon.
▪ Developed a comprehensive scoring system and orchestrated multiple ETL job workflows, optimizing data collection from diverse sources.
▪ Maintained 99% uptime for the data engineering pipeline, efficiently resolving on-call issues to ensure uninterrupted job execution 24/7.
▪ Executed end-to-end integration for daily email communication with Amazon Sellers via the SPACES platform, automating score-based notifications resulting in $MM savings.
▪ Maintained and horizontally scaled one of the world's largest elastic search cluster of Amazon Retail with X TB of data saving $XXXK.
▪ Demonstrated a strong on-call performance by resolving user queries and handling high-severity issues, while achieving a significant 5% reduction in AWS infrastructure costs.
▪ Developed integration tests for data ingestion in clusters, resulting in enhanced data consistency, bug resolution, and improved productivity.
▪ Developed a dispatch flow to create an analytics and recovery database for X petabytes of Amazon catalog data.