Description

Data Engineer | 3+ years of experience at Decathlon | INSA Lyon Graduate

Data Engineer with more than 3 years of experience at Decathlon, where I designed and optimised data pipelines to support large-scale analytics and business intelligence initiatives. With an engineering degree from INSA Lyon, I bring a strong foundation in data architecture and software engineering.

Skilled in Python, Spark, AWS, SQL, Airflow, Databricks and Git, I’m now looking for a new long-term freelance mission starting in January 2026, where I can contribute to building robust, scalable, and efficient data solutions.

Languages

English
Native or bilingual
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 10km)

Decathlon
Data Engineer
E-COMMERCE
December 2022 - Today (3 years and 7 months)
Paris, France
🔹 Situation
Migration of PII data from legacy warehouse to new Databricks Data Lake
Need to improve GDPR compliance (encryption and data deletion)
Ensure continuity of service for legacy tables to enable smooth migration
🔧 Actions
Designed pipelines using Medallion architecture, Watermark-based ingestion
Built ingestion job using PySpark, Databricks, Delta format, Airflow and AWS
Raised engineering standards: CI/CD, Unit/Integration tests and code quality

✅ Results

✔️ Improved Scalability
Fast Ingestion: 2 Billion records, 1M+ events/days across 7 data domains
Complex transformation and feeding of 20+ PII tables
✔️ Enhanced Resilience
Automatic failure catchup ensuring 10 mn SLA
Real-time 200+ quality checks and failure alerting over 20+ tables
✔️ Achieved GDPR Compliance
Encryption of 40+ PII fields
2h SLA for deleted members removal in Data lake
PySpark Python Amazon Web Services Airflow SQL
Shift Technology
Data Engineer Intern
BANKING AND INSURANCE
February 2022 - September 2022 (7 months)
Paris, France
🔹 Situation
Insurance fraud detection scale-up Shift receives large volume of textual docs
🔧 Actions
Deployed document classification pipeline with Airflow, Docker and Python
✅ Results
Less than 15 Mn daily to classify daily 4k+ textual documents
Configurable to handle document heterogeneity (Passport, ID, invoice)
Python Airflow ETL (Extract, Transform, Load) Processes
Société Générale
Data Engineer Intern
BANKING AND INSURANCE
April 2021 - September 2021 (5 months)
Paris, France
🔹 Situation
Internal applications failures were increasing support team workload
🔧 Actions
Processed 3B+ app logs from Kafka to identify failure detection patterns
Developed real-time failure detection pipeline with PySpark and Hadoop
✅ Results
Real-time monitoring and alerting of 1000+ apps and scalable up to 15k
Historical statistics stored in HDFS for post-incident analysis
Spark Hadoop Apache Kafka Python HDFS