Focusing on Banking, Telco, Healthcare, Energy, ESG-Based Data Engineering, and AI Solutions With 16 years of overarching experience—including 15 years strictly dedicated to Big Data, I specialize in designing, migrating, and optimizing enterprise-scale data ecosystems. My work spans the financial services, telecommunications, retail, power, and energy sectors, delivering robust architectures that drive actionable AI and business intelligence. Core Data Engineering & Cloud Migration Expertise I possess deep expertise in AWS, Azure, and G42-based cloud migrations, successfully transitioning legacy on-premises infrastructure to highly scalable cloud data platforms. I manage top-tier cloud data projects in the region, collaborating with leading System Integrators (SIs) to migrate end-to-end business models encompassing over 4,000 data pipelines and use cases. My technical leadership spans the entire data engineering lifecycle: Modern Data Architectures: Designing highly scalable Data Lakehouses, Medallion architectures, and Data Mesh frameworks to democratize data access while ensuring strict governance. Real-Time & Batch Processing: Specializing in distributed computing and in-memory processing frameworks. I build low-latency data pipelines using Spark (Databricks), Kafka, Flink, NiFi, and Flink for real-time ingestion and streaming analytics. Infrastructure & Storage: Designing Azure based and G42-based sovereign cloud infrastructure, creating Hadoop-based Big Data Lakes for scalable cold storage, and leveraging Cassandra for highly responsive Customer360 hot storage. Data Governance & Quality: Implementing robust Master Data Management (MDM), automated data cataloging, and comprehensive data governance frameworks to ensure data lineage, compliance, and security. DataOps & Performance Tuning: As a Big Data Evangelist, I oversee the entire stack from initial deployment to high-performance tuning, pipeline orchestration, and Cloud FinOps to optimize compute costs. AI/MLOps Integration: Bridging the gap between data engineering and AI by building robust pipelines for Spark-based analytics model development, seamlessly integrating with platforms like Cloudera Data Science Workbench (CDSW). Guidance: Transitioning to the Middle East Data Job Market Having architected sovereign cloud solutions (such as G42) and managed major regional projects, I frequently mentor professionals looking to transition into the booming Middle East (ME) technology sector. If you are targeting roles in the UAE, Saudi Arabia, or the wider GCC, here is my strategic guidance: Align with Regional Visions: The ME is heavily investing in "Smart City" initiatives and national transformations. Tailor your profile to highlight experience in Banks, Telco, Energy, ESG, IoT, and large-scale digital transformations. Master Data Sovereignty & Local Clouds: Data residency is a critical priority. Familiarize yourself with regional data protection laws (such as the UAE Data Law and KSA's PDPL) and local cloud providers like G42, alongside the regional zones for AWS, Azure, and Google Cloud. Upskill in Modern AI & Real-Time Tech: The region is rapidly adopting AI. Demonstrating strong foundational skills in real-time streaming (Kafka, Flink) and scalable AI-ready data foundations (Databricks, Snowflake) will significantly elevate your marketability. Technical Arsenal & Certifications I am well-versed in a comprehensive stack of Big Data and analytics tools, including Hadoop, Hive, Spark, Cassandra, NiFi, MongoDB, Talend Big Data, R, YAML, Python, DataStage, and various statistical and IoT tools. Professional Certifications: Cloudera Certified Apache Hadoop Instructor Cloudera Certified Data Scientist Cloudera Trained and Certified Apache Hadoop Administrator Cloudera Trained and Certified Apache Hadoop Developer Cloudera Certified Apache Hadoop Data Analyst Mongo University Certified MongoDB DBA Informatica EDC Certified Mentorship & Consulting Beyond architecture, I am passionate about capability building. I have trained over 8,000 professionals and conducted more than 140 corporate and university batches covering Cloudera, Hortonworks Data Platform, Apache Kafka, NiFi, Cassandra, and Talend Big Data. Let's Connect: For consulting and guidance in Data, end-to-end cloud data engineering, Spark, Kafka, Flink, and scalable AI data solutions—or for insights on navigating the tech landscape in the Middle East—feel free to contact me.