Freelancer profile translated to English.

Description

Passionate and Databricks certified Big Data Engineer with over 7 years of experience in designing and deploying scalable, real-time Big Data solutions.

As a Tech Lead at AXA France, I manage a team of 14 data engineers on various strategic data projects. I am recognized for my technical leadership, project management skills, and ability to align data solutions with business objectives.

My expertise covers the entire Big Data ecosystem: data ingestion (Kafka, Kafka Connect), distributed processing (Spark, Databricks), cloud deployment (Azure, Kubernetes, Docker), monitoring (Grafana, Prometheus), scheduling (Airflow), version management (Git).

I ensure the technical excellence of projects through practices like code review, automated testing, CI/CD, and pair programming. I pay particular attention to data quality and documentation.

As a good communicator and educator, I can simplify technical concepts for business teams. I am proactive in identifying optimization opportunities and quick wins.

Beyond my technical skills, I am known for my teamwork, commitment, and resilience. I enjoy challenges and am not afraid to step out of my comfort zone. I stay informed about the market and continuously monitor data trends and best practices.

If you are looking for an experienced, proactive, and passionate Tech Lead Big Data to support you in your data transformation, do not hesitate to contact me. I would be delighted to discuss it!

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual
Arabic
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

AXA France
Tech Lead Big Data
BANKING AND INSURANCE
May 2023 - Today (3 years)
Nanterre, France
As a Tech Lead Data Engineer at AXA France, I am responsible for leading a team of 14 data engineers on various projects (P&C Insurance, Health, Marketing, IT). My role is to ensure technical excellence, strategic project execution, and innovation in service of the company's objectives.

Key Achievements:
Estimate and scope new projects, optimizing resource allocation.
Provide support to developers, ensuring solution quality and technical excellence.
Ensure solution quality and technical excellence through in-depth code reviews.
Lead task forces on urgent issues for rapid and effective resolution.
Conduct technical interviews to strengthen the team's skills.
Manage end-to-end data quality.
Document technical solutions and workflows.
Provide PySpark training.
Microsoft Azure PySpark Python Azure Data Factory Databricks Apache Kafka Kafka Connect
Amadeus
Senior Data Engineer
SOFTWARE PUBLISHING
April 2020 - May 2023 (3 years and 1 month)
Nice, France
Within the BDM (Big Data & Monitoring) team, responsible for the analysis and monitoring of the flight search engine. We design and deploy scalable solutions to track KPIs and process approximately 44% of global air traffic data. With a daily traffic of 1 billion transactions for 100 different applications, we manage distributed, real-time, and high-volume data pipelines to provide statistics, metrics, and monitoring.
Design and deploy scalable monitoring and analysis solutions on the flight search engine.
Manage distributed, real-time, and high-volume data pipelines (1 billion transactions/day).
Migrate Spark reports to Azure Databricks with Airflow.
Develop Kafka2Blob and File2Kafka connectors.
Automate the deployment of Kafka connectors and streams on Kubernetes via Helm and Docker.
Implement monitoring dashboards for Kafka connectors.
Maintain legacy platforms.
Spark Databricks Apache Kafka Kafka Connect Kafka Streams Airflow
Amadeus
Hadoop & Kafka - DevOps & Big Data Engineer
SOFTWARE PUBLISHING
September 2018 - July 2020 (1 year and 10 months)
Nice, France
Working on a Big Data platform for streaming purposes with Kafka:
Develop a Kafka connector for cross-datacenter replication.
Support and advise clients (internal teams) on streaming solutions.
Data rebalancing solution within a Kafka cluster.
Automate Kafka topic creation.
Deploy the first POC of a Kafka cluster on Kubernetes (Strimzi).
POC of an AI project for real-time Kafka/Hadoop incident prediction.
Kafka training.
Operations and support for Kafka clusters (on-call).
Monitor application workflows on the Big Data platform (Hadoop, MapR).
Automate procedures (patches, reboots) for PCI-DSS compliance.
Operations and support for Hadoop clusters (on-call).
Platform upgrade and migration to public clouds.
Apache Kafka Java Kubernetes Oozie Hadoop