Freelancer profile translated to English.
Back to original languageAbout Raphael
I am a freelance data engineer/dataops
Open-source contributor
Trainer for Apache Airflow, Apache Kafka, Apache Spark, and generally in data engineering/dataops.
I am available to contribute to and/or implement data platform solutions and their infrastructure, such as:
- Stack design
- Data acquisition
- Batch or stream transformation
- Loading into data warehouse
- Serving via REST API
- Machine learning training cycle and monitoring
Distributed systems and scalability are the topics on which I can assist you.
With a strong ops and software culture (DevOps), I can help you set up DATA/ML pipelines and APIs that are reliable, tested, versioned, and monitored.
I manage the technical stack and features from A to Z: code, tests, Git repo, CI, CD, stack (cloud provider/infra), monitoring, alerting, for a truly continuous deployment policy.
I am also a FastAPI expert (check my GitHub :))
English
Fluent
French
Native or bilingual
Spanish
Basic
Can work on-site
Paris (up to 40km)
Experience
- TUROFreelance Senior DataOpsE-COMMERCEJuly 2025 - December 2025 (5 months)Paris, FranceDrove the transition to a Data Mesh architecture, facilitating the migration of engineering teams to anew platform and event bus systemAWS - S3 / EKS / GLUE / ATHENA / MSKApache Kafka, Apache Kafka connect, Strimzi, Apache Airflow, DBT, Apache Flink, Apache Iceberg,MLflow, Ray, Pandas / Polars, Kubernetes, Terraform, Grafana
- Leboncoin FranceSenior Data EngineerE-COMMERCEDecember 2024 - June 2025 (6 months)Paris, FranceAssumed Lead Data Engineer responsibilities during the incumbent's leave, ensured operationalcontinuity and supervised a team of 7 (5 DEs, 2 Data Ops)GCP - GCS - BIGQUERY - GKEDATABRICKSAWS - ATHENA - REDSHIFT - S3 - EKSApache Spark, Apache Kafka, Apache Kafka Stream, Apache Kafka Connect, Apache Airflow, ApacheIceberg, DBT, Kubernetes, Datadog, Github Actions
- INALead Data Engineer / DataOpsFILM AND AVFebruary 2024 - November 2024 (10 months)Paris, FranceEntirely designed and implemented the first data stack: data lake (Iceberg) and data/ML pipelines (Airflow)on the on-premise data center of INA.ON PREMISEApache Parquet, Apache Iceberg, Tabular_rest_catalog, Apache Arrow, Polars, Trino, Apache Airflow,Apache Spark, DBT, FastAPI, object storage(S3), Postgres, Redis-cluster, Elasticsearch, Docker,Docker-compose, K8S_KIND, Kubernetes, Helm, OpenTelemetry, Grafana
Reviews
Thomas
SVP-GROUPE
Reviewed on 12/16/2024
1.5-day audit mission with Raphael. Very good collaboration, fluid, and very relevant advice. Real expertise contribution on FastAPI for the following topics: asynchronous communication of endpoints, application instantiation, reduction of endpoint response time, resource sizing in GCP.
M
Marie-Jeanne
Turo France SAS
Reviewed on 12/4/2023
Raphaël is an excellent Data Engineer. He combines technical skills with good communication and teaching abilities, making him a valuable asset for our projects.
Raphaël did an excellent job securing our pipelines. The results exceeded our initial expectations.
I recommend him.
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Education
- Master, Computer ScienceUniversité Paris Cité ( PARIS VII )2017Grade: With high honors (Mention Tres bien)Grade: With high honors (Mention Tres bien) at the IRIF - Research Institute on the Foundations of Computer Science, is a research laboratory of CNRS and université Paris-Diderot - Algorithmics, complexity and computability - Complex systems, networks, and distributed computing - System and Network programming - Machine Learning & Data Mining - Database engine