Engineer with expertise in Java, C++, Python, Spring Boot, RESTful APIs, Microservices, Cloud Platforms (GCP, Azure). Experienced in building scalable backend systems with Docker, Kubernetes, and CI/CD pipelines (GitHub …
Engineer with expertise in Java, C++, Python, Spring Boot, RESTful APIs, Microservices, Cloud Platforms (GCP, Azure). Experienced in building scalable backend systems with Docker, Kubernetes, and CI/CD pipelines (GitHub Actions). Solved 400+ DSA problems and gained practical experience working hands-on in Agile/Scrum environments.
Developed scalable backend systems and migrated 50+ data objects from ADLS to GCP, designing cloud-native workflows., Designed 10+ ELT services using dbt and PySpark, processing 17M+ rows under a Medallion Architecture of high data reliability., Constructed real-time event-driven services using Google Pub/Sub, processing 2M+ daily streaming events and integrating with BigQuery and GCS APIs to support responsive, analytics-driven applications., Orchestrated 10+ automated workflows in Airflow (Cloud Composer) to manage distributed backend processes, improving maintainability and reducing manual oversight., Systematized backend export modules in Python and Airflow to generate and deliver 18+ KPI reports daily in CSV format., Deployed CI/CD pipelines with GitHub Actions, automating testing and deployments to achieve a 95% deployment success rate for production updates., Optimized a real-time reporting microservice using Apache Airflow and Python, refactoring dbt models to increase efficiency by 92.5% and reduce execution time by 1.5 hours, improving overall system throughput.
Developed scalable backend systems and migrated 50+ data objects from ADLS to GCP, designing cloud-native workflows.
Designed 10+ ELT services using dbt and PySpark, processing 17M+ rows under a Medallion Architecture of high data reliability.
Constructed real-time event-driven services using Google Pub/Sub, processing 2M+ daily streaming events and integrating with BigQuery and GCS APIs to support responsive, analytics-driven applications.
Orchestrated 10+ automated workflows in Airflow (Cloud Composer) to manage distributed backend processes, improving maintainability and reducing manual oversight.
Systematized backend export modules in Python and Airflow to generate and deliver 18+ KPI reports daily in CSV format.
Deployed CI/CD pipelines with GitHub Actions, automating testing and deployments to achieve a 95% deployment success rate for production updates.
Optimized a real-time reporting microservice using Apache Airflow and Python, refactoring dbt models to increase efficiency by 92.5% and reduce execution time by 1.5 hours, improving overall system throughput.
Built and deployed a full-stack role-based food ordering application using Next.js and NestJS, implementing JWT authentication
and RBAC across 3 user roles, securing 6+ protected APIs, and deploying production workloads on Vercel and Render.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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