Overview
Designed distributed computing workflows for streaming and batch analytics.
Role
Student
Project Details
Executed a distributed data workflow using Apache Spark, Hive, and Impala to process 10M+ records for data warehouse efficiency analysis.
Implemented data partitioning and Parquet compression techniques, improving query performance by 25% and reducing I/O operations by 30%.