Abdullah Alotaishan

I am a data engineer and software practitioner specialising in building scalable data pipelines, cloud-native infrastructure, and ML-enabled analytics solutions. I combine academic research in data engineering with hands-on production deployments to deliver reliable, reproducible systems.

My recent work includes integrating LLMs into humanitarian workflows at the International Federation of the Red Cross to generate automated insights and summaries, and leading the design and deployment of a multi-service real-estate SaaS with geospatial search and multi-tenant capabilities.

I have built distributed pipelines for large scientific datasets (including AlphaFold processing), implemented observability with Prometheus and Grafana, and benchmarked 24-hour stable runs to demonstrate reliability. I am experienced across Python, Spark, Kafka, Airflow, ClickHouse, PostGIS, and multiple AWS services.

I am driven by delivering production-grade systems that are reproducible, monitored, and cost-efficient, and I apply agile requirements engineering and evaluation frameworks to ensure solutions meet user needs and operational constraints.