Hamza Benjelloun

Background

About Hamza Benjelloun

I am a data-driven professional with 3+ years of experience at the intersection of Data Engineering, MLOps, and DataOps, helping organizations in the banking and insurance sectors design and scale intelligent data platforms. With a foundation in software engineering and hands-on expertise in end-to-end data systems, I specialize in building lakehouse architectures, ML pipelines, and cloud-native solutions that enable enterprises to move from raw data to actionable insights. Core Expertise: • DataOps & MLOps: workflow orchestration, CI/CD for ML, model lifecycle management • Cloud & Infrastructure: Kubernetes, Docker, AWS, GCP, Azure (on path to multi-cloud certifications) • Data Engineering: Apache Spark, Airflow, NiFi, DBT, Hive, modern lakehouse architectures • Machine Learning & AI: TensorFlow, PyTorch, LLMOps, intelligent systems integration I thrive at the intersection of data, AI, and cloud architecture, bridging the gap between business needs and scalable technical solutions. My current focus is on LLMOps, multi-cloud strategies, and advanced data platforms to empower organizations to stay ahead in a rapidly evolving AI landscape. Always open to discussing innovative projects, cloud-native architectures, and opportunities to collaborate on data- and AI-driven transformation.