Tech Lead Data and Infrastructure and DevOps and Backend Engineer
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A highly technical and analytical data engineer who has experience in both business and development. Most recently I've been working on ETL pipelines using Python, Node JS, Serverless Architecture, and Spark. Skills: Python • Node JS • Spark • Docker • Git • Serverless • Elastic Search • Dataduct • Scala • Vertica • Tableau • Excel • Numpy • Pandas AWS: Redshift • EMR • S3 • Lambda • Kinesis • DynamoDB • SQS • Cloud Formation • Data Pipeline Coursework: Coursera: Stanford - Algorithms: Design and Analysis - 1 and 2 Udemy: Python for Data Analysis and Visualization, Python Beyond the Basics - Object Oriented Programming, Beginning Scala, Beginning Java, Node JS edx: BerkeleyX - Introduction to Big Data with Apache Spark Code Academy: Python, Javascript, HTML, CSS https://github.com/TheGreatAbyss/CodeSamples
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