Ahmed Radhouane Khadhri

Technical and functional analysis of data sources before integration: study of schemas, data quality, volume, and performance constraints. Creation and orchestration of data integration pipelines from multiple sources (SQL Server, Oracle, HDFS, S3, HTTP) via Apache Airflow deployed on Kubernetes. Python development for ingesting, transforming, and validating large volumes of data. Automation of the analytical workflow lifecycle with DBT and Airflow, ensuring consistency and traceability of transformations. Implementation of CI/CD processes with Git, Argo CD, Nexus, and Docker for continuous and secure pipeline deployment. Optimization and administration of PostgreSQL databases, integration with AWS S3 for data centralization and governance. Collaboration with Cloud, DevOps, and DataOps teams on pipeline quality, monitoring (Grafana, application logs), and performance. Rigorous application of the SAFe / Agile methodology: participation in ceremonies, user story management, and continuous improvement. Contribution to the implementation of DataOps and DevSecOps best practices: versioning, unit testing, and automated supervision. Technologies: HDFS, S3, Git, Argo CD, Docker, Grafana, ElasticSearch, GitLab, SAFE.

Mission: Develop and maintain Scala Functional microservices for the parcel lifecycle. Develop and maintain project APIs. Enrichment and mapping of new fields on Topics. Processing Avro and Proto data. Implement RG via Spark jobs in Scala. Data storage on Cassandra and indexing on ElasticSearch. Unit/Integration Testing. Implement data replay systems. Deploy applications via Jenkins. Monitor applications using monitoring tools (Grafana / application logs). Implement CI/CD pipelines (Gitlab) for automating code tests and deployments. Participate in project go-lives. Technologies: Spark, Scala, Play, Kafka, Cassandra, ElasticSearch, Gitlab, Jenkins, SonarQube, Nexus, Docker, Kubernetes.

Creation of a 360 customer view (RCU) for Orange Côte d'Ivoire: Participate in Functional and Technical Workshops and project scoping (Exploitation of different data sources, reception of different data extraction requests, implementation of different KPIs). Analyze data to answer business questions. Contribute to data aggregation from different source systems. Participate in the creation of data ingestion templates in Hdfs/Hive and Hbase using Nifi, as well as data mart calculation templates and data restitution templates using Spark and Hbase. Develop data transformation tasks. Design Data Lakes and Data Marts. Calculate KPIs for different customer business sectors with Apache Spark/Scala. Plan and automate Jobs and workflows with Oozie. Write technical documents and contribute to resolving production issues. Ensure the scalability, security, stability, and availability of the platform data. Social media scraping (LinkedIn, Facebook) with Python. Import and exploit social media metrics (Facebook, Twitter, Instagram, YouTube channel) via Apache Nifi. Technologies: Spark, Nifi, Scala, Python, Oozie, Hbase, Hive, Phoenix, Agile.