Ikrame Ettiache

- Designed and managed robust data pipelines using Airflow, dbt, and Python for scalable ETL/ELT workflows. - Built and maintained a scalable data platform (Datawarehouse / Datamart / CDP). - Integrated and automated workflows using n8n for orchestration and alerting of business-critical processes. - Integrated Dockerized data jobs and maintained robust environments via Kubernetes and AWS. - Developed real-time and batch data flows using Kafka and Spark. - Deployed advanced AI models, including LLM-based RAG architectures. - Created dynamic dashboards with LookerStudio for performance monitoring. - Built and managed robust data models in Snowflake and PostgreSQL, enabling performant querying and analytics. - Contributed to agile ceremonies (daily standups, sprint planning, retrospectives).

- Designed and implemented data pipelines and orchestrated data ingestion into the warehouse using Cloud Composer, Dataflow, and BigQuery. - Developed a personalized recommendation engine using xDeepFM, processing millions of transactions to enable targeted product suggestions. - Deployed predictive models to estimate campaign performance (open rate, CTR, etc.), improving marketing decision-making. - Built and exposed REST APIs for marketing automation tools: segmentation, contact management, export for partners. - Built data quality monitoring dashboards and alerting systems to ensure trust in key data flows. - Automated infrastructure provisioning with Terraform and CI/CD pipelines using Cloud Build. - Applied Natural Language Processing (NLP) and Dynamic Topic Modeling techniques for analyzing legal texts and unstructured data. - Shared best practices and provided training on MLOps (deployment automation, training tracking, model quality monitoring). - Participated in agile ceremonies and contributed to cross-functional projects in retail, ad-tech, and pharma sectors.