Emad Sarhan

B.Sc. of Computer Science and Automatic Control, Faculty of Engineering, Alexandria University Experienced Data Management, Data Engineer, and Data Architect, with demonstrated Information Technology experiences in multiple business sectors (telecommunication/transportation/banking/financial/Gov) Strong engineering professional skilled in Data Management Complex and Challenging Database practice (Rational and NoSQL) plus performance enhancement techniques Utilizing PMP/ITIL/TOGAF/SCRUM/DAMA/Agile guidance lines. CDLS processes including Requirements Analysis Enterprises Systems not limited to:- • Data Warehouse (EDW) • Master Data Management (MDM) • Enterprise Data Hub (EDH) • Operational Data Store (ODS) • Common Data Platform (CDP) • Cloud Platforms and Big Data ecosystem Architecture Professional in enterprise Solutions and Systems, specifically in the area of Enterprise Data, Analytics, and Data Engineering Through my experience working with market monster organizations in the Banking and Telecom sector, I have had vast exposure to many of the leading technological vendors I have worked in the complete life cycle of enterprise data. My experience in both the functional and technical information technology area has given me the insight to identify and develop agile, scalable, and stable solutions Hands-on and real implementation of multiple enterprise systems as:- - Data warehouse - Kimball Methodology, Business Dimensional Model– Snowflake and Star design - Enterprise Integration Framework & Datawarehouse Standards - Enterprise Data Governance and Data Quality - Master Data Management, Customer 360, Product - Data Migration / ETL - Operational Data Store, Enterprise Data Hubs - Data Modeling in Rational and NoSQL - Enterprise Data Strategy and Analytics Architecture and Visualization Development - Enterprise Data Architect for distributed systems - BigData ecosystem, Data Lake Fundamentals, Hadoop framework, and its Open Source - Project and Program Management - Business Process Management and Data Access Patterns - Big Data sets Analytics - Planning, Training, Education, and adoption of new technologies - Leadership, Team monitoring, and Team Building Specialties: skills include, but are not limited to: -Informatica, Datastage, IBM MDM -GCP, Azure and Snowflake -Oracle ODI, SSAS, SSIS, SSRS, Talend -Oracle DB, Teradata SQL, DB2, MySQL, Cassandra -Toad, Oracle SQL/Developer, ERwin and Archi -Tableau, Power BI -Cloudera BigData, Hadoop, Kafka, Spark, Hive, Solr -Jira, Confluence -Shell, AIX Unix Commands -MS Office, Visio and MS-Project