Abdelhamid Haouas

Senior Data Engineer | Big Data & Telecom Expert | Data Driven Transformation At Bouygues Telecom, I lead the design and optimization of high-performance data pipelines, essential for meeting the challenges of modern telecommunications. KEY ACHIEVEMENTS: Processing 2.5 PB/day: Architected a scalable system optimized with Spark and Kafka, ensuring reliable ingestion and real-time processing of critical data. Performance Optimization: Reduced processing times by 30% through fine-tuning Spark (batch/streaming) and Kafka, while maintaining 99.9% availability. Cloud-Native Infrastructure: Automated deployment of data applications on Kubernetes and Docker, integrated with Airflow for agile orchestration. Monitoring & Strategic Insights: Implemented a data observatory with ELK (ElasticSearch, Kibana) and Grafana, providing actionable insights for business and technical teams. TECHNICAL EXPERTISE: Processing: Spark (Batch/Streaming), Kafka, Hive, HDFS Infra/Cloud: Kubernetes, Docker, Airflow Languages/Tools: Python, Java, Spring, Bash, JSON/CSV, Grafana BUSINESS IMPACT: Collaboration with Data Science and Business teams to align technical solutions with strategic objectives (e.g., cost reduction, QoS improvement). Audit and modernization of legacy pipelines towards cloud-native architectures, enhancing scalability and resilience. 360° Vision: In-depth technical expertise (Spark, Kafka) combined with an understanding of telecom challenges (networks, customer data, IoT).

- Participation in technical design and solution architecture

- Deployment and administration of delivery frameworks and automated tests implemented in the project

- Lead and supervise the operation of loading flows in production

- Provide support to various teams on technical issues

- Participation in technical design and solution architecture

- Application development

- Facilitate and participate in workshops with other teams and with Commerce IT architects

- Support teams in industrialization

- Installation and delivery of tools such as Jenkins: Continuous Integration, Continuous Deployment

- Lead and supervise the operation of loading flows in production