Abhishek Konagalla

Data Engineer @DoorDash

FL, US

Designed and implemented real-time, high throughput streaming data pipelines using Apache Flink, Kafka, and DynamoDB, processing over 10 million events per second for user engagement analytics and personalized content recommendations.• Improved SQL query performance by optimizing Iceberg and Delta Lake tables stored in AWS S3, reducing query times by 60% and slashing Amazon Athena scan costs by 25%.• Reduced cloud infrastructure costs by 30% by implementing S3 intelligent tiering policies and optimizing Spark cluster usage for batch processing workloads.• Built feature stores with Feast and Apache Beam, streamlining ML model training data preparation by 50% and improving feature consistency between training and production environments.• Collaborated cross-functionally with recommendation teams to implement A/B testing data pipelines using Python and Apache Airflow, accelerating content ranking model iteration cycles