Marc-Antoine KALMUK

Data Engineer & Data Analyst @ Forvis Mazars | Applied Mathematics (Data & Al) | Palantir Certified

Salaire / Taux journalier

95320 Saint-Leu-la-Forêt, France

Freelance, ouvert au CDI

Expertises

Data EngineeringData AnalysisRequêtes SQLGitHubPower BIIACybersécurité

Langues

Français (Maternelle)

À propos

Introduction

As a Data Engineer & Analyst at Clariane Group, I design, industrialize, and document end-to-end data pipelines supporting analytical use cases across seven European countries in domains such as Energy, HR, and Quality. My work combines data engineering, automation, and governance within Palantir Foundry and Microsoft Azure Synapse. I also migrated Azure Data Factory workflows into Synapse and Foundry to achieve full automation, stronger traceability, and centralized governance, optimizing integration with the Master Data Management (MDM) system to ensure accurate establishment matching and reduce manual reconciliation errors across countries. My responsibilities include data lineage management, technical documentation, and cross-domain coordination with Palantir consultants, data engineers, and business stakeholders, ensuring every dataset is auditable, standardized, and actionable for transparent and reliable analytics.

Liens

Expérience de travail

Forvis Mazars Group

janv. 2026 - Présent

10 mois

Paris, France

Analyste de données

janv. 2026 - Présent

10 mois

Paris, France

Analyste de données

janv. 2026 - Présent

10 mois

Paris, France

Data engineer

Clariane

sept. 2022 - sept. 2025

3 ans 1 mois

Paris, France

– As a Data Engineer & Analyst at Clariane Group, I design, industrialize, and document end-to-end data pipelines supporting analytical use cases across seven European countries in domains such as Energy, HR, and Quality. My work combines data engineering, automation, and governance within Palantir Foundry and Microsoft Azure Synapse. – I develop scalable ingestion pipelines in Foundry Code Workbook, Contour, and Ontology, integrating heterogeneous sources (APIs, SQL, Excel) and applying the Medallion architecture (Bronze / Silver / Gold) to structure the analytical Risk model. Each transformation is versioned, monitored, and documented with automated data quality checks and CI/CD deployment through GitHub Foundry. – I led the Energy project, consolidating consumption data from over 1,000 facilities and integrating external MeteoMatics APIs to compute degree-day indicators for climate-adjusted analysis. The resulting datasets feed predictive models for CO2 emissions and are visualized through Foundry Workshop and Power BI dashboards used by the Energy and Real Estate teams. – I also migrated Azure Data Factory workflows into Synapse and Foundry to achieve full automation, stronger traceability, and centralized governance. I optimized the integration with the Master Data Management (MDM) system to ensure accurate establishment matching and reduce manual reconciliation errors across countries. – My responsibilities include data lineage management, technical documentation, and cross-domain coordination with Palantir consultants, data engineers, and business stakeholders (risk, HR, compliance, energy). I ensure every dataset is auditable, standardized, and actionable, enabling transparent and reliable analytics across the group.


Formation

CY Tech

Ingenieur, Mathématiques appliquées

2020 - 2025

5 ans

UCLA

Managment, businessplan and cybersecurity

2024 - 2024

4 mois


Licences et certifications

Certified Palantir Foundry Data Engineer Professional

Délivré le : –

Certifié par Palantir

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