Focus on Business Goals: Make sure DW serves organizational priorities and solves business problems. Start with the End in Mind: Let the business priority and scope of end-data-delivery in the …
Master’s degree in computer science with Specialization in Software Engineering and Earned PGD in Management Information System. Accumulated 20+ years’ Information Technology, Data Governance, Data Management, and Compliance related consecutive hands-on experience, possess diversified business and technical background across the Aviation, Healthcare, Investment, Education, and Construction sectors.
45+ Online Professional Certifications, which includes:
• CDMP – Certified Data Management Professional
• CDPO – Certified Data Protection Officer
• GDPR – General Data Protection Regulation Practitioner
• EDRP – EC-Council Disaster Recovery Professional
• AWS Certified Cloud Practitioner
• Oracle Enterprise Data Management Professional
• Oracle Database Cloud Certified Professional
• ITIL – Information Technology Infrastructure Library (ITSM – IT)
Experience includes leading data governance and management initiatives, ensuring compliance with NDMO, GDPR and KSA PDPL, and implement/improve data security, privacy, & protection. Expertise spans a wide variety of platforms, tools, technologies, hardware, software, and operating systems.
Served in leadership capacities such as Manager – Data Management, Sr. Team Lead – Database Specialist, Sr. Team Lead Consultant, Sr. Applications DBA, Sr. Resident Consultant, and Manager Systems.
Data Warehousing and Business Intelligence (Momentary Look)
Requirements’ Understanding Define and Maintain the DW/BI Architecture Define DW/BI Technical Architecture Define DW/BI Management Processes Develop the Data Warehouse and Data Marts Map Sources to Targets Remediate and Transform …
Document and Content Management (A Glance)
Plan for Lifecycle Management Plan for Records Management Develop a Content Strategy Create Content Handling Policies Social Media Policies Device Access Policies Handling Sensitive Data Responding to Litigation Define Content …
Data Management – Records/Document Retention and Disposal
Effective Document / Records management requires clear policies and procedures, especially regarding retention and disposal of records. A retention and disposition policy will define the timeframes during which documents for …
Data Management – DII (A Momentary Look)
Plan and Analyze Define Data Integration and Lifecycle Requirements Perform Data Discovery Document Data Lineage Profile Data Collect Business Rules Design Data Integration Solutions Design Data Integration Architecture Select Interaction …
Data Management – Data Profiling
Understanding Data Content and Structure is essential for Data Governance, Data Architecture, Data Modeling and Design, Data Storage and Operations, Data Security, Data Quality and Data Integration and Interoperability. Data …
DII – Data Interaction Models – P2P, Canonical and Publish/Subscribe
Canonical Model (Hub-and-Spoke) A Canonical Data Model is a common model used by an organization or data exchange group that standardizes the format in which data will be shared. In …
Data Management – Manage Versioning and Control
ANSI Standard 859 has three levels of control of data, based on the criticality of the data and the perceived harm that would occur if data were corrupted or otherwise …
Difference between ETL and ELT
ETL – Extract, Transform, and Load Central to all areas in Data Integration and Interoperability is the basic process of Extract, Transform, and Load (ETL). Whether executed physically or virtually, …