Samy Gharsouli
About Samy Gharsouli
Samy Gharsouli is a Data Engineer at Expedia, Inc. with extensive experience in business intelligence and big data projects.
Current Role at Expedia, Inc.
Samy Gharsouli has been working as a Data Engineer at Expedia, Inc. since 2016. His role involves responsibilities linked to Expedia's data engineering needs. He delivers intricate data projects and ensures the seamless migration and integration of data across various platforms. His technical acumen is key to leveraging tools like Apache Spark and AWS within the company’s architecture.
Previous Experience with Evolusys
Before joining Expedia, Samy Gharsouli worked at Evolusys from 2012 to 2016. During his tenure as a Senior Microsoft Business Intelligence Consultant, he was responsible for designing and implementing business intelligence solutions. His work contributed significantly to various projects, helping organizations gain better insights and make data-driven decisions.
Consulting Background in Business Intelligence
Samy Gharsouli has an extensive background in business intelligence consulting. He has worked with multiple organizations, including Freelance, CSC, Umanis, and BearingPoint from 2007 to 2012. These roles involved the development and implementation of BI solutions, enabling clients to optimize their data strategies and infrastructure.
Educational Background
Samy Gharsouli holds two Master's degrees. He earned his first Master's degree in Computer Science from UFR IMA Grenoble in 2005, and his second Master's degree in Information System and Organization from IAE Grenoble in 2007. His academic qualifications provide a strong foundation for his expertise in data engineering and business intelligence.
Expertise in Big Data Technologies
Samy Gharsouli has specialized expertise in migrating workloads from third-party databases to Apache Spark using platforms like Databricks, Qubole, and AWS EMR. His technical environment includes Spark 3.x, Spark 2.x, Databricks, Delta Lake, Qubole, Airflow, and AWS. He also has extensive experience in implementing end-to-end big data projects, from design to deployment.