9+ years architecting and delivering large-scale data platforms across healthcare, telecom, government, retail, and IoT — on Azure, AWS, Cloudera, and Microsoft Fabric.
I'm a Principal Big Data Engineer with deep expertise in designing secure, scalable data architectures and real-time processing systems that drive real business value. From raw ingestion to insight — I build it end-to-end.
Currently at Lean Business Services, Riyadh, where I'm architecting a national-scale Patient Profile Platform using Apache Spark, consolidating healthcare data from hospitals across the Kingdom into a unified enterprise Data Lake.
Previously at Ai-Elements (STC Group) and Systems Limited, I led multi-cloud data platform delivery across Azure, AWS, Databricks, and Azure Synapse — implementing medallion architectures on Microsoft Fabric and driving engineering excellence across teams.
Equally comfortable driving architecture strategy at the whiteboard and shipping production-grade Spark pipelines.
Independently designed and delivered a complex, end-to-end Microsoft Fabric data pipeline for a U.S.-based enterprise client. Integrated structured and unstructured datasets into a unified, governed format and multidimensional analytics cube — embedding predictive ML models for trend forecasting and near real-time reporting, directly contributing to new revenue opportunities for the client.
National-scale unified patient Data Lake consolidating clinical data from hospitals across KSA. Included patient identity linkage, real-time ingestion via Kafka & Spark Streaming, and metadata-driven onboarding framework.
Built a Cloudera-based proof of concept for AI-driven analytics using Spark and Hadoop for large-scale dataset processing, ML model training, and performance optimization.
Designed and delivered Medallion Architecture on Microsoft Fabric with scalable Spark pipelines and BI layers, adopted as the delivery standard for enterprise data platform programs.
End-to-end AWS data platform with EMR, Glue, Kinesis Firehose for real-time ingestion, Apache Hudi for incremental processing, and Step Functions for automated orchestration at scale.
Python-based social media analysis for crime pattern detection, hate speech classification, and drug-related activity geolocation — deployed in support of Dubai's Anti-Narcotics Department.
Front-end application with real-time vehicle tracking, geofencing, fuel monitoring, speed analytics, and live alert systems built with Angular 2/5 for fleet management operations.
Whether you're architecting a new cloud data platform, migrating to Microsoft Fabric, or need a senior Big Data engineer to lead delivery — let's talk.
I'm based in Riyadh, Saudi Arabia and open to senior/principal roles across the region and globally.