Riyadh, Saudi Arabia
Data Engineering & AI Specialist with experience in architecting and building trusted, scalable, enterprise data platforms and governed analytics for executive decision-making. My work spans the full lifecycle of enterprise data capabilities, from defining architecture and contributing to RFPs, through hands-on ETL/ELT and semantic modeling, to establishing data governance frameworks. I am driven to ensure data is not just available, but trustworthy, compliant, and actionable. Recent focus areas: • Enterprise Data & AI Platform: Played a key role in designing a modular, zone-based architecture on GCP (BigQuery, Vertex AI) with Informatica as the backbone for an enterprise Data & AI platform. • 360° Executive Reporting: Led the centralization and automation cross-functional, role-based reporting (Finance, HR, Safety, Project Management, Audit), contributing to an estimated 1,500 hours per year of manual reporting effort saved. • Data Governance & DMO: Actively shaped the establishment of the Data Management Office and authored an NDMO-aligned Data Policy that achieved board-level approval. • Analytics Enablement: Standardized semantic models, KPI definitions, and RLS patterns, while establishing executive-focused UX standards to drive analytics adoption. • End-to-End Pipeline Orchestration: Engineered and maintained Talend ETL/ELT pipelines from systems such as Oracle Fusion, SAP, and Biotime, with embedded validation, lineage, and quality controls. I hold a B.S. in Computer Science (AI & ML concentration) from KFUPM and am a CDMP (Associate), with advanced certifications from Google and Dataiku. I am building my expertise toward Senior/Principal Data Engineer and Data Platform Engineer roles, with a focus on advancing cloud-native platforms, NDMO-aligned data governance, and high-impact AI/ML use cases that deliver measurable business outcomes.
• Led the architecture and helped shape the strategy for the enterprise Data & AI platform, establishing a zone-based design (bronze/silver/gold) on GCP (BigQuery, Vertex AI) with Informatica as the backbone. • Spearheaded the establishment of the Data Management Office (DMO), authoring the company-wide Data Policy and securing board-level approval in alignment with NDMO standards. • Defined standards for semantic models and row-level security (RLS) to enable a governed self-service analytics layer across corporate functions. • Outlined the rollout approach for the Data & AI platform, including high-level migration sequencing, domain onboarding concept, and cutover considerations. • Defined strategic GenAI use cases (e.g., automated policy response, contract review) to feed into the platform roadmap and vendor evaluations.
• Engineered and maintained robust Talend ETL/ELT pipelines across systems like Oracle Fusion, SAP, and Biotime, incorporating validation, lineage capture, and operational run-books. • Played a key role in a critical ERP migration (Oracle Fusion → SAP), responsible for data mapping, transformation logic, cleansing, and load validation to ensure a successful cutover. • Automated and standardized reporting data flows, cutting manual reporting effort by more than 50%. • Contributed to foundational data governance, helping establish the DMO and its processes in line with NDMO requirements. • Delivered secure, role-based analytics to functions including Finance, HR, Projects, and Operations, partnering with stakeholders to drive adoption. • Established enterprise UX standards for executive reporting, ensuring consistency and clarity across leadership materials.
• Applied data science expertise to analyze financial data and implement machine learning techniques at the National Center for Government Resources Systems (NCGR). • Used Dataiku to develop and evaluate predictive models for budget forecasting, improving decision-making with data-driven insights. • Handled large datasets and extracted actionable insights from complex financial data, supporting more accurate and informed financial planning.
• Developed a Python-based GUI for a radar system, integrating real-time radar data visualization on maps to improve user interaction and data interpretation. • Used Python libraries like Folium, NumPy, Pandas, and PyQt5 to create an intuitive interface for visualizing radar data, applying advanced geospatial data analysis techniques. • Gained hands-on experience with geospatial data and GIS concepts, contributing to the clear presentation of complex radar information.
Assisted Dr. Ali Mugaibel in the Research Skills short course by managing attendance, preparing reports, and ensuring smooth course operations. This role was assigned by the Student Success Center (SSC) at KFUPM.