Backend & Data Engineer
Computer Engineer with a strong foundation in backend development and enterprise software, currently specializing in Big Data technologies and data engineering. Passionate about designing scalable systems and transforming data into reliable, high-performance solutions.
Experienced in building robust and scalable backend APIs and enterprise software, with expertise in Java, Spring Boot, Node.js, and various database technologies.
Specializing in designing and implementing scalable data pipelines and distributed systems using the Hadoop ecosystem and Apache Spark for high-performance data solutions.
Built a containerized batch data pipeline using HDFS, Apache Spark, and Hive to ingest, transform, and warehouse large-scale urban mobile activity data for analytics.
Developed a robust, scalable backend API for a Twitter-like platform with real-time messaging, personalized feeds, and OAuth authentication.
Developed a Java-based search engine featuring web crawling, document indexing, and efficient search over large document collections using MongoDB.
Gaining practical exposure to Temenos T24 core banking system and IBM BPM as a BFSI intern at EJADA.
Participating in an intensive Big Data Engineering program at National Telecommunication Institute (NTI).
Applied machine learning and deep learning techniques using Python, TensorFlow, and Keras as an AI Trainee at Samsung Innovation Campus.
Completed Web Development Summer Training at CUFE.
Earned Huawei Training Course of Artificial Intelligence :HCIA certification.
© 2026 Doha Ahmed