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Description

Solution Architect with 10 years of professional experience in setting up on-premise and Cloud data ecosystems.

• Solid knowledge of the cloud using both AWS, Azure, and GCP solutions

• Team player with strong interpersonal and communication skills acquired through working in an Agile/SCRUM environment

• Strong analytical and problem-solving skills, with perseverance in writing clean and maintainable code.

• Flexibility between the big picture of architecture and the component-by-component view.

• Ability to explain technical issues clearly and effectively to the business.

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km), Bordeaux (up to 10km)

CCF ex HSBC
Data & Cloud Solution Architect - Data / Risk Domain
BANKING AND INSURANCE
March 2025 - Today (1 year and 3 months)
Paris, France
- Tasks performed: - Definition of the target architecture integrating historical data recovery and unified business data modeling.
- Migration of data and redesign of ETL Datastage flows to AWS Glue.
- Implementation of orchestration and data quality control pipelines.
- Definition of business rules and data exploitation via Athena, Starburst, and PowerBI.
Amazon Web Services Scala Python Airflow Architecture
Crédit Agricole CIB
Lead Data Engineer
BANKING AND INSURANCE
September 2022 - February 2025 (2 years and 5 months)
Paris, France
performed: - Define the integration architecture of an audit and inspection software package within the group, writing
technical specifications (DAD, GAD, DICP, MESARI) for both projects. - Implementation of TeamMate reporting on PowerBI and development of SSIS scripts. Ensure performance campaigns in the editor. Performance, SSIS, SQL, Tasks,
MLflow Spark Elasticsearch SQL PowerBI
Société Générale CIB
Data Engineer
BANKING AND INSURANCE
January 2018 - March 2021 (3 years and 2 months)
Paris, France
- Tasks performed: - I ensure the design and development of data ingestion modules into the lake from
different sources and formats - Data preparation, ingestion, and transformation (PySpark, Pandas) Application archiving by the TMON tool (ELK-SG),
- Data quality rules code review via TDD and Sonar, creation of data sources resulting from build plans for Jenkins deployment release. Technical environment Hadoop, Spark, Java 8, Hive, HDFS, OOZIE, Knox, Kerberos, Tableau Server, Elasticsearch, logstash, Hbase keystore, Git, Jira, Jenkins, Azure,
Spark Java Microsoft Azure Git Jenkins