Led the design and implementation of large-scale data pipelines using Apache Spark and Kafka, processing over 10TB of data daily. Spearheaded migration of on-premise Hadoop clusters to AWS EMR, reducing costs by 25% and improving processing speed by 40%. Optimized Spark jobs for performance, reducin...
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Real-Time Data Processing Pipeline Implementation:
Description: Designed and implemented a real-time data processing pipeline using AWS Kinesis for a large e-commerce platform.
Responsibilities:
Architecting the pipeline to ingest, process, and analyze streaming data from various sources.
Leve...
Tutorial Details:
Content Covered
and
Prerequisits.
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