I'm a Senior Data Engineer specializing in designing and building scalable data processing systems, data pipelines, and cloud-native data platforms. Over the past several years, I've worked across the Space, Earth Observation, and Search industries, building production systems that process and deliver large volumes of data reliably at scale. My experience covers data architecture, workflow orchestration, distributed processing, cloud infrastructure, observability, and MLOps, using technologies such as Python, AWS, Airflow, PostgreSQL, Docker, Kubernetes, Terraform, and Go. In the Space industry, I've worked on real-time and large-scale data processing and delivery systems, including platforms serving high-profile customers such as NASA. Earlier in my career, I worked in the search industry, building and maintaining data pipelines and core web-scraping systems. These experiences have given me a strong focus on production engineering, system design, reliability, scalability, and making complex data systems simpler to operate. Through Topmate, I can help with: • Data Engineering architecture and system design • Designing and reviewing production data pipelines • Airflow, AWS, Python, PostgreSQL, and cloud architecture • Troubleshooting and improving existing data platforms • Data Engineering system-design and technical interview preparation • Career guidance for engineers moving into or advancing in Data Engineering I also have a background in teaching and mentoring. I previously worked as a Data Tutor, creating educational content and helping engineers develop their technical skills and navigate career decisions. I enjoy discussing real engineering problems, reviewing architectures, challenging design decisions, and helping engineers move from "it works" to systems that are reliable, maintainable, and production-ready. I also create technical content around Python, Data Engineering, Machine Learning, and Data Science: YouTube: https://www.youtube.com/c/mohammedashour1994 Technical Blog: https://blog.m-ashour.space/