Khaled Fakhfakh

– Designed and maintained ETL/ELT pipelines on GCP using dbt, improving reliability and maintainability of data workflows. – Implemented and enforced data quality, governance, and observability practices in dbt and GCP (unit/data tests, monitoring, lineage/metadata) to increase trust in data products. (Sifflet, dbt) – Worked with DevOps-aligned delivery practices (GitLab-Cl workflows, CI/CD concepts, laC automation with terraform and kubernetes).

– Developed scalable ELT pipelines with dbt and LookML (semantic layer), improving reliability and maintainability of transformations. – Contributed to a data mesh approach by structuring domain-owned data products with clear contracts (documentation, tests, ownership), enabling interoperability. – Designed and maintained Looker/LookML semantic layers and dashboards to enable governed, consistent self-service analytics.

– Developed new features and maintained Vertica's Data Science platform. (VerticaPy) – Created and trained ML models for customers (Python, SQL, VerticaPy, VerticaDB). – Optimized SQL queries and improved performance for analytical workloads.

– For my end-of-studies internship, I was part of the OSL research team at CRISTAL-Centrale Lille, where we developed a model capable of detecting and estimating syringes volumes for high-risk injectable drugs based on state-of-the-art achievements in deep learning and computer vision.