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Karan Singh
Data Engineering at McKinsey & Company
About
Karan S. is a seasoned Senior Data Engineer with 7 years of experience in the field. He is currently employed at McKinsey & Company, where he has been working as a Senior Data Engineer for an unspecified duration. Karan's expertise lies in Data Engineering, AWS, SQL, Databricks, Snowflake, AWS Glue, Azure, Amazon Athena, Terraform, Python, CI/CD, Salesforce, Spark, Big Data, Senior Software Engineer, and Apache Hive. Karan has worked on several ETL tools, including Databricks, AWS Glue, Talend, Azure Datafactory, and Snowflake. He has also worked with databases such as AWS Redshift/RDS and SQL Server. Karan's scripting skills include Python, Bash, and SQL. He is well-versed in AWS services such as S3, Lambda, Glue, Athena, and Redshift. Additionally, Karan has experience with CI/CD tools such as Terraform and cloudformation. Karan is a certified Tableau Associate and has extensive experience in data visualization. He has worked with Tableau to create insightful visualizations that help businesses make data-driven decisions. Before joining McKinsey, Karan worked at Deloitte as a Consultant and at McKinsey as a Data Engineer. He has a bachelor's degree from GGSIPU. Overall, Karan has 7.78 years of relevant experience in the field of Data Engineering. He is a self-motivated and proactive team player who thrives in a fast-paced environment. His technical expertise and experience make him a valuable asset to any organization.
Education Overview
Companies Overview
• mckinsey
• deloitte
• accenture
Experience Overview
9.1 Years
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