Aws_Python_Redshift

<ul><li>Primary skills:Technology->Cloud Platform->AWS Enviornment Provisioning,Technology->Data On Cloud - NoSQL->Amazon Dynamo DB,Technology->Data On Cloud - Platform->AWS<br><br></li></ul>Redshift Engineer<br><br><ul><li> 5+ years of experience in Data Engineering and Data Warehousing with strong expertise in Amazon Redshift.</li><li> Design, develop, and maintain scalable Redshift data warehouses to support enterprise analytics and reporting needs.</li><li> Build and implement Dimensional Data Models (Star Schema), including fact and dimension tables for analytical workloads.</li><li> Develop, optimize, and troubleshoot complex SQL queries for large-scale data processing and performance improvement.</li><li> Design and maintain ETL/ELT pipelines using AWS Glue and other data integration tools.</li><li> Optimize Redshift performance through effective use of RA3 nodes, Distribution Keys, Sort Keys, and Redshift Spectrum.</li><li> Integrate data from multiple sources such as S3, PostgreSQL, APIs, and third-party applications into the data warehouse.</li><li> Collaborate with Data Architects, Analysts, and Business stakeholders to deliver scalable and efficient data solutions.</li><li> Ensure data quality, governance, security, and compliance across the AWS data platform.</li><li> Hands-on experience with AWS services (S3, Lambda, IAM, CloudWatch) and exposure to Python/PySpark</li></ul>

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