Freelancer profile translated to English.
Back to original languageAbout Zakaria
With 7 years of experience in Data Engineering, acquired within innovative startups and large international groups, I design and deploy robust and scalable data pipelines using Python, SQL, Airflow, PySpark, Kafka, Dataiku, GCP, BigQuery, PostgreSQL, Docker, and Kubernetes. I work across the entire data chain: ingestion, transformation, orchestration, quality, and monitoring. My approach combines technical rigor with business acumen to help teams make strategic decisions based on reliable and well-structured data.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 30km), Lyon (up to 30km)
Experience
- GeodisData EngineerTRANSPORTATIONSeptember 2024 - Today (1 year and 11 months)Levallois-Perret, France
- Design, development, and deployment of high-performance data pipelines in a Big Data environment (Apache NiFi, Kafka, PySpark, Hive, HDFS, Cloudera).
- Ingestion and transformation of massive data to meet analytical and operational needs.
- Advanced use of Dataiku to automate workflows and ensure their reliability.
- Supporting business teams in the adoption of Dataiku: skill development, best practice sharing, and technical support.
- Cross-functional collaboration with product and data teams to design solutions tailored to the challenges of transport and logistics.
- SmartBlock SRLData EngineerREAL ESTATEOctober 2024 - January 2025 (3 months)Bruxelles, Belgium
- Audit and optimization of Python/SQL notebooks: analysis of bottlenecks, code rewriting to improve performance, readability, and maintainability.
- Implementation of best practices for Python and SQL development within the team.
- Rigorous documentation of modifications made.
- Close collaboration with teams to align deliverables with business needs in the real estate sector.
- namRData EngineerENVIRONMENTALSeptember 2019 - July 2024 (4 years and 10 months)Paris, France
- Development and maintenance of internal Data Engineering tools for importing, processing, and deploying geospatial data, using Python, SQL, PostGIS, Airflow, and Dataiku.
- Management and maintenance of the vision inference infrastructure (GCP, BigQuery, Redis, Docker, Kubernetes).
- Automation of pipelines via Python and GitLab CI/CD. PostgreSQL database migrations (dump/restore).
- Automation of data archiving and restoration to GCP to optimize costs.
- Integration of the JIRA API with the database to automate the insertion of metadata.
- Contribution to the implementation of Great Expectations to ensure data quality.
- Mentoring and training of interns. Project management with JIRA and Trello.
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Education
- Master Data ScienceParis Saclay2021
- Double Bachelor's Degree in Mathematics and Computer ScienceParis Saclay2019