Freelancer profile translated to English.
Back to original languageAbout Alexandre
Welcome to my Malt profile!
🚀10 years of experienceas aData Engineer, Software DeveloperandCloud Architectacross more than 10 companies in various sectors: Banking, Transport, Energy, Finance, Logistics.
🔧 Expert in the design and implementation of scalable, tailor-made solutions adapted to the unique needs of each field.
✅ Committed to quality and reliability, I develop robust, secure, and high-performing data pipelines, ensuring data is always available and usable.
🎯 Complete mastery of the product lifecycle: Architecture, Development, CI/CD, and Run management, with proven expertise on high-stakes projects.
⚡ My Technical Stack:
- Data flows (Python, Java, SQL)
- Cloud (GCP, AWS, Azure)
- Data sourcing and exposure (API, OKTA, Token, Web Scraping, CSV, Parquet, AVRO, JSON)
- Databases (BigQuery, CloudSQL, Oracle, SQLServer, PostgreSQL)
- Data visualization (PowerBI, Tableau Software, Celonis)
- Machine learning and Deep learning (Python, AutoML)
- Production deployment (Airflow, Docker, Terraform, Bash, Git, GitHub, GitLab, CI/CD)
- Observability, metrics, and governance (Datadog, Collibra, Sonarqube, KPI dashboard)
📞 Available for your Data projects – Contact me to transform your data into a strategic asset!
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- Mobilize Financial ServicesData EngineerBANKING AND INSURANCEFebruary 2023 - Today (3 years and 4 months)Paris, France➡️ Migration to Google Cloud Platform (GCP) for the banking subsidiary of the Renault group, responsible for the design, architecture, development, and deployment of data pipelines.Missions & Achievements🔹 Integration and processing of internal & external data
- Collection and ingestion of data from Renault's international subsidiaries, Open Data & third-party providers.
- Stack: Cloud Storage, Apache NiFi, BigQuery, Composer.
🔹 Development of a REST API for Mobilize Assurance- Exploitation of connected vehicle driving data for insurance risk analysis.
- Stack: Python, GitLab, Dataflow, Docker, Compute Engine, Cloud Run, JWT.
🔹 Development of a DBSQWare → Collibra connector- Metadata governance and regulatory compliance.
- Stack: Java Spring, Kubernetes, SonarQube.
🔹 Implementation of observability & FinOps for Cloud applications- Monitoring and alerting of applications in production.
- Optimization of Cloud costs with a FinOps approach.
- Stack: Google Monitoring, Alerting Teams, Dynatrace Dashboards.
🔹 IFSR9 and BCBS239 data controls- Development of banking data control pipelines to meet European compliance requirements
- Stack: Python, Cloud Storage, BigQuery, Airflow, Linux, Oracle.
ExpertiseData Engineering on GCP, data ingestion & pipelines, REST APIs, Cloud Observability & FinOps, Data Governance.Tools and project managementGitlab, JIRA (Scrum), Confluence, Collibra, SharePoint - EIGHT ADVISORYData EngineerCONSULTING AND AUDITSOctober 2022 - February 2023 (4 months)Paris, France➡️ Design and development of a centralized Data Platform to monitor Working Capital Requirements (WCR).Missions & Achievements🔹Architecture & Development of a centralized Data Platform 📊
- Design of a Data Vault Model
- Modeling of financial data from Microsoft Dynamics.
- Optimization of data structuring for better scalability.
- Stack: Python, SQLServer, DFakto, Windows Server
🔹Implementation of Power BI reporting 📈- Development of Power BI dashboards on billing data.
- Reporting for financial and operational management.
ExpertiseData Engineering, Data Vault, Microsoft Dynamics, Reporting & Visualization with Power BI. - bpifranceTechleadBANKING AND INSURANCEMarch 2020 - October 2022 (2 years and 7 months)Maisons-Alfort, France➡️ Construction of a climate data repository to meet cross-functional and regulatory needs (ESG, Finance, Open Data).➡️ Design, development, and deployment of scalable data pipelines for environmental impact and financial risk analysis.Missions & Achievements🔹Coordination & Deployment of Data Developments
- Implementation of optimized data pipelines for the ingestion and processing of non-financial data (Open Data, Market Data).
- Development of an event-driven architecture for monitoring PGE files.
- Stack: Python, AWS Glue, Kafka, Kubernetes, Terraform
🔹Optimization & Monitoring of pipelines- Improvement of data flow performance & scalability.
- Stack: AWS CloudWatch, DataDog, Prometheus, Grafana.
🔹Implementation of CI/CD pipelines & Infrastructure as Code- Automation of deployments and continuous integrations.
- Stack: Jenkins, SonarQube, CloudBuild, CodePipeline, Terraform, Docker, Airflow.
🔹Collaboration & Mentoring- Interaction with Data Scientists & business experts to industrialize models and structure data.
- Mentoring & coordination of a team of 3 Data Engineers on AWS.
ExpertiseData Engineering on AWS, CI/CD, Event-Driven Architecture, APIs, Monitoring & Observability, Infrastructure as Code, ESG Data.
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Education
- Master MIAGEUniversité Paris Cité2018Master MIAGE
- L3 MIAGEUniversité Paris Cité2016L3 MIAGE
Certifications
- Google Cloud Big Data and Machine Learning FundamentalsCoursera2020
- AWS Certified Cloud PractitionerAmazon Web Services Training and Certification2021