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7 Years

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Over 7 years ago
Any ETL tool that moves data to it's own server for processing will add overhead and will not use Redshift's power ( more specifically parallelism). It is recommended to use standard SQL for data processing.

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Senior Professional offering more than 10 years of experience in the field of Big Data, Business Intelligence and SAAS Big Data applications. Skilled in building relationship with all stakeholders of the business.

Most Recently involved in creating cloud based business intelligence and Big Data applications. Worked on AWS cloud platform using Redshift, EC2, MapReduce for delivering high performance Big Data integrated solutions. Hands on experience on MapReduce/Redshift physical design and performance optimization for maximum throughput of data processing.