Harshit Garg is an experienced data engineering professional with a strong background in big data technologies and real-time data processing. Currently a Data Engineer at Eargo since September 2020, Harshit specializes in Spark streaming and Apache Kafka for real-time data ingestion and processing. Prior to this role, experience as a Hadoop Developer at UPS involved transforming Map Reduce programs to Spark and developing analytical components in Scala. At AT&T, contributions as a Big Data Engineer focused on building scalable data pipelines within the Hadoop ecosystem, while earlier at Integra Micro Systems Pvt Ltd, responsibilities included gathering customer requirements and managing AWS infrastructure for various reporting solutions.
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