Freelancer profile translated to English.

Description

Do you have unstable pipelines, difficult-to-exploit data, or an Azure / Databricks platform to build or optimize? I help you transform your data flows into a reliable, documented, performant, and production-ready foundation.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Corum Épargne France
Data Engineer
PRIVATE EQUITY
January 2026 - Today (5 months)
Paris, France
- Use of Bloomberg Data License APIs to automate the incremental ingestion of market data into the DataHub.

- Development of serverless pipelines with Azure Functions to orchestrate Bloomberg API calls and populate financial repositories.

- Implementation of Bloomberg DataRequest and HistoryRequest queries to retrieve historical and incremental data.

- Setup of secure OAuth2 / signed JWT authentication for exchanges with Bloomberg.

- Design of an asynchronous polling mechanism with retry, exponential backoff, and configurable timeouts.

- Automation of parsing and loading large Bloomberg files: CSV, CSV.gz, and ZIP.

- Normalization and historization of financial data: prices, returns, valuations, currencies, quotation dates, and market identifiers.

- Implementation of quality controls on time series: gap detection, forward-fill on business days, consistency, and anomaly detection.

- Data traceability with REAL, FORWARD_FILLED, and FALLBACK statuses to facilitate audit and reporting.

- Storage and exposure of data in Azure Cosmos DB with a flexible model adapted to evolving financial schemas.

- Industrialization of deployments via Docker, Azure DevOps, and YAML CI/CD pipelines on dev, preprod, and prod.

- Contribution to the automation of calculations related to NAV, returns, valuation, and performance monitoring.
Microsoft Azure Data Engineer Python SQL JWT
CNAS
Data Engineer
PUBLIC SECTOR
May 2025 - December 2025 (7 months)
Guyancourt, France
- Analysis and redesign of the integration flow for the Tour Operator project after migrating SharePoint sources to SFTP FileZilla.

- Design and development of an Azure Data Factory DataFlow to automatically ingest and transform CSV and TXT files of heterogeneous formats.

- Setup of a unified database to standardize structures from multi-format files.

- Creation of data cleaning, typing, and normalization rules in ADF DataFlow.

- Management of ingestion errors and schema inconsistencies through logs and exceptions.

- Maintenance and correction of Talend tickets related to historical flows.

- Participation in the transition from Talend processing to new ADF flows.

- Contribution to HLDF with the Data Architect to ensure technical consistency and scalability.
Microsoft Azure Data Engineer SFTP Talend
Enedis
Data Engineer
ENERGY AND UTILITIES
October 2024 - May 2025 (7 months)
Paris, France
- Migration of heterogeneous sources to Data Bridge with Denodo.

- Preparation and harmonization of data for field tour analysis over several days.

- Migration of Jaspersoft reports to Power BI.

- Integration and normalization of geographic repositories: INSEE, IRIS, BAN, latitude / longitude.

- Standardization of geographic attributes for business reporting.
- Enrichment of datasets with GPS coordinates for geospatial analysis in Power BI.

- Matching of GPS points with official road networks and broadcast addresses.

- Definition of geographic data quality rules: validation, repository control, normalization.

- Design and optimization of Denodo views.

- Development and automation of Power BI reports via custom Denodo connectors.

- Documentation of migration processes and training of end-users.
Databricks Spark Denodo SQL