Data Engineering Consultant at Artefact

Building data quality rules using Informatica IDQ and metadata structures using Informatica EDC and Informatica Axon. Delivering KPI pipelines for the Abu Dhabi Government DMT department, covering ~200 KPIs in phase 1 (out of 30,000 planned), to enable higher-quality data for AI/ML. Implementing a medallion architecture (bronze/silver/gold), including ingestion, cleansing, and ETL to the gold layer. Developing AI models for Data Quality & Governance using RAG and LLM-to-SQL to automate KPI validation, achieving ~85% faster metadata cataloging and reducing errors by ~40%.

Data Engineering Consultant at Artefact MENA

Building data quality rules on Informatica IDQ and metadata structures on Informatica EDC and Informatica Axon. Delivering pipelines for ~200 KPI’s of the Abu Dhabi Government DMT department (with ~30,000 KPI’s planned in phase 1) to improve data quality for AI/ML. Implementing medallion architecture (bronze/silver/gold), governance, and ETL movement to gold. Developing Data Quality & Governance AI solutions using RAG and LLM-to-SQL to automate KPI validation, improving metadata cataloging speed by 85% and reducing errors by 40%.

Senior Data Engineer at Abu Dhabi Securities Exchange

Led Spark pipelines processing ~5M transactions/day (~2 TB) for national and international traders. Designed scalable fact/dimension schemas and bronze–silver–gold layers to support analytics and downstream systems, and produced Balanced Scorecard reporting for management. Worked with MS Purview and Informatica for data quality rules and metadata governance. Architected Azure Databricks/Delta Lake pipelines with governance and cost optimization and collaborated with cybersecurity for compliance and secure access. Built AI models for HFT integrating multimodal streams to reduce trade execution latency by 30% and improve real-time market intelligence.

Senior Data Engineer at Al-Futtaim Group

Built Spark pipelines for finance/procurement data merging SAP, SAP Ariba and other sources, reducing duplicates by 80%. Implemented batch and streaming ETL using Spark Structured Streaming, Kafka, and Azure Data Factory to structure data for both transactional and analytical needs. Optimized SQL for large datasets, reducing query runtime from hours to minutes and enabling Balanced Scorecard reporting with executive dashboards. Developed AI-driven Procurement Contract Management models to classify and check compliance across 10,000+ contracts, reducing manual review time by 65% and improving governance accuracy. Built procurement data classification AI pipelines using NLP and statistical workflows with 92% accuracy.