Freelancer profile translated to English.
Back to original languageAbout Ange-Désiré
Looking for a data engineer specializing in AWS and Spark?
You are in the right place.
I am a data engineer with over 6 years of experience.
I have worked in sectors such as banking, healthcare, and energy.
I have collaborated with companies such as: Disney, EDF, BNP...
I am capable of managing the development of Data projects, from design to production.
I can assist you with:
- Setting up data pipelines (Batch, Streaming)
- Collecting, analyzing, and modeling multidimensional data
- Data engineering best practices (DataOps)
- Implementing a continuous integration and continuous deployment (CI/CD) chain
- Deploying Machine Learning models (MLOps)
- Solving business problems with technical solutions.
Have a project? Contact me
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Lyon (up to 50km), Lille (up to 50km), Nantes (up to 50km), Bordeaux (up to 10km)
Experience
- SafranLead Data EngineerAVIATION AND AEROSPACESeptember 2024 - Today (1 year and 9 months)Building Data PlatformsSafran is a large French industrial and technological group, with an international presence in the fields of aeronautics, space, and defense. The group employs 92,000 people and had a turnover of 23.2 billion euros in 2023.The objectives of this mission were to enable group companies to create their own data platforms to implement their BI, ML/DL use cases, and other AI applications in the cloud. Another objective was to establish governance to ensure optimal management of resources and data. The team was organized in an Agile mode, in a primarily French context with high-security aspects.The team consisted of:- 3 data engineers- 1 DevOps engineer- 1 Scrum Master- 1 Delivery ManagerI contributed to the following developments:- Assisting industrial companies in building their data platforms- Assisting industrial companies in migrating their use cases to the cloud- Improving data quality and sharing- Reducing costs and enhancing securityAs Lead Data Engineer, I was responsible for:- Designing data architecture patterns- Deploying and monitoring cloud infrastructures (IaC)- Developing and maintaining the CI/CD chain- Data cataloging to feed the MDM- Implementing data quality (SQL)- Writing operational manuals- Mentoring junior data engineers- Code reviews for implemented featuresTechnical context: Terraform, Gitlab CI, PySpark, Pandas, Step functions, S3, Glue, Cloudwatch, VPC, ECS, Lambda, DynamoDB, Athena, DataSync, KMS, SQL, MongoDB, Iceberg, Azure DevOps, Jira
- DisneyData EngineerENTERTAINMENT AND LEISURENovember 2022 - October 2023 (1 year)Building and Evolving the Data PlatformDisneyland Paris is a theme park founded in 1992, attracting 15 million tourists annually. In 2023, the company had 15,450 employees and achieved a record revenue of 2.4 billion euros.I joined the Disneyland Paris (DLP) team where I participated in the construction, maintenance, and evolution of the Data Platform. The objective of my mission was to enable better utilization of digital data from shops, restaurants, hotels, and park operations (costumes, visitor flows, etc.). The team was organized in a SAFe Agile mode. The context was international (France, USA, and India).The Data Platform team consisted of:- 10 data engineers- 2 data scientists- 3 data quality officers- 4 product owners- 3 Scrum Masters- 1 Delivery ManagerThe ticket pricing team consisted of:- 1 data engineer- 1 product owner- 1 Scrum MasterI contributed to the following evolutions:- Improving data reliability and unifying data sources- Enhancing reporting for business and executive teams- Reducing data storage and computation costs- Improving the quality of pricing productsAs a data engineer, I was responsible for:- Data modeling for the Data Warehouse- Developing data migration pipelines to the Data Lake (reservations, shops, restaurants, etc.)- Creating analytical views and tables within the Data Warehouse- Implementing data contracts for personal data anonymization and data quality- Developing cloud infrastructure deployment workspaces (tickets, hotels, annual passes)- Developing a Python module for ticket pricing- Migrating R code to PythonTechnical context: Data Engineering, AWS, PySpark, Data Modeling, Snowflake
- EDF RenouvelablesData EngineerENERGY AND UTILITIESApril 2022 - October 2022 (6 months)Developing and Maintaining a Microservices-Oriented Infrastructure for Solar PanelsEDF Renewables is an energy production company within the EDF group. It operates in solar and wind power, generating 15 GW of renewable energy. It is present in 21 countries and employs over 3,000 people. The company had a turnover of 2.156 billion euros in 2023.I joined EDF Energies Nouvelles in the Solar team. The objective of my mission was to implement and evolve real-time data pipelines. The team was organized in an Agile mode. The context was international (France and US).We were 4 data engineers and 1 Tech Lead.I contributed to the following evolutions:- Improving the visibility of electrical equipment performance- Improving the budgeting of solar panel farmsAs a data engineer, I was responsible for:- Developing features for a real-time data pipeline- Automating the deployment of Cloud resources using Infrastructure as Code- Developing unit and integration tests- Proof of Concept (POC) for optimizing microservices scalability- Standardizing and validating data qualityTechnical context: Data Engineering, AWS, Real-time
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Education
- Master 2 in Embedded Systems Computer ScienceUniversité Paris 82009L’université Paris 8 Vincennes - Saint-Denis, créée en 1969, est l’héritière du Centre proposant des formations et recherches dans les domaines des Arts, Droit, Économie, Gestion et en Mathématiques, Informatique et Technologies du numérique. J’ai suivi une formation sur les sujets suivants : - Organiser et conduire le développement d’applications embarquées en équipe-projet - Gérer des périphériques mobiles - Mettre en œuvre les principes fondamentaux de gestion de la mémoire et des processus - Penser l’architecture des applications selon les capacités disponibles - Réaliser des supports techniques et des documentations sur les applications embarquées et des présentations orales adaptées aux différents types d’interlocuteurs (décideurs, développeurs et utilisateurs) Systèmes Distribués, Base de données embarquées, FPGA, Capteur Intelligents, Robotique,
Certifications
- Scala Language ProfessionalLightbend2024
- Databricks Lakehouse FundamentalsDatabricks2023