09/12/2026 updated
100 % available
AI-Enhanced Databricks Certified Data Engineer | Lakehouse Architecture | FinOps & Cost Optimisation
Paris, France
Worldwide
Big Data AnalyticsAbout me
AI-Enhanced Senior Data Engineer with 6+ YoE building modern, scalable and cost-efficient Lakehouse platforms. Expert in Databricks Delta Lake with a focus on performance optimisation, observability, governance and FinOps. Available for remote B2B missions across Europe; occasional on-site possible.
AI AgentsGitHub CopilotGenAIFinOpsData LakehouseCopilotDelta LakeData ArchitectureData GovernanceData Vault ModelingGitHubPython (Programming Language)Machine LearningDataOpsAzure Data Lake
Databricks & Data Engineering
Expertise in Databricks, Delta Lake, Delta Live Tables, Databricks SQL, Workflows, Apache Spark, PySpark, Scala, SQL, ETL/ELT, batch, streaming and AI-ready dataset design and delivery at enterprise scale.
Lakehouse Architecture & Data Governance
Deep knowledge of Lakehouse architecture, schema evolution, data quality, monitoring, orchestration, data governance, GDPR compliance, GenAI foundations, FinOps and cost/usage analytics.
Cloud & DevOps Delivery
Hands-on experience with AWS, Azure, GCP exposure, CI/CD pipelines, GitHub, GitLab, Jenkins, Azure DevOps, Power BI, production delivery, stakeholder management and technical design.
FinOps & Platform Efficiency
Connection of usage, cloud cost, performance and governance metrics to architecture roadmaps, optimisation priorities and investment decisions across AWS and Azure environments.
Data Pipeline Design & Orchestration
Design and maintenance of scalable ingestion, transformation and quality pipelines using Delta Live Tables, Apache Spark, PySpark and Scala, with automated quality controls and orchestration for BI consumption.
Python & Application Development
Application development experience using Python, MongoDB, Angular, GitHub and CI/CD practices, contributing to modernisation of digital platforms in Agile teams.
Machine Learning & Predictive Analytics
Building of Random Forest forecasting models, feature engineering, model evaluation and delivery of structured, quality-controlled datasets to data scientists for model development and industrialised analysis.
Stakeholder Engagement & Technical Communication
Adaptation of communication across business and technical audiences, alignment of delivery teams and support for organisations to increase platform adoption and value.
Agile Methodologies
Certified in Scrum, Kanban and Lean Startup (CNCP 2085), with practical experience delivering iterative improvements in Agile teams and translating user feedback into efficient processes.
Expertise in Databricks, Delta Lake, Delta Live Tables, Databricks SQL, Workflows, Apache Spark, PySpark, Scala, SQL, ETL/ELT, batch, streaming and AI-ready dataset design and delivery at enterprise scale.
Lakehouse Architecture & Data Governance
Deep knowledge of Lakehouse architecture, schema evolution, data quality, monitoring, orchestration, data governance, GDPR compliance, GenAI foundations, FinOps and cost/usage analytics.
Cloud & DevOps Delivery
Hands-on experience with AWS, Azure, GCP exposure, CI/CD pipelines, GitHub, GitLab, Jenkins, Azure DevOps, Power BI, production delivery, stakeholder management and technical design.
FinOps & Platform Efficiency
Connection of usage, cloud cost, performance and governance metrics to architecture roadmaps, optimisation priorities and investment decisions across AWS and Azure environments.
Data Pipeline Design & Orchestration
Design and maintenance of scalable ingestion, transformation and quality pipelines using Delta Live Tables, Apache Spark, PySpark and Scala, with automated quality controls and orchestration for BI consumption.
Python & Application Development
Application development experience using Python, MongoDB, Angular, GitHub and CI/CD practices, contributing to modernisation of digital platforms in Agile teams.
Machine Learning & Predictive Analytics
Building of Random Forest forecasting models, feature engineering, model evaluation and delivery of structured, quality-controlled datasets to data scientists for model development and industrialised analysis.
Stakeholder Engagement & Technical Communication
Adaptation of communication across business and technical audiences, alignment of delivery teams and support for organisations to increase platform adoption and value.
Agile Methodologies
Certified in Scrum, Kanban and Lean Startup (CNCP 2085), with practical experience delivering iterative improvements in Agile teams and translating user feedback into efficient processes.
Experience
Professional experience5 - 10 years
Freelancer since2023
Languages
EnglishFluentFrenchFluentPortugueseNative speakerSpanishGood
Project history
Partner with data, architecture and business stakeholders to analyse billing and usage logs across ENGIE's data ecosystem and define adoption, cost and operational KPIs for the 2026 architecture modernisation programme. Design and deploy scalable Databricks and Delta Lake pipelines for ingestion, transformation and delivery of curated enterprise datasets. Enable Databricks SQL and Power BI dashboards for decision-makers. Lead technical design discussions translating business needs into data-quality, accessibility, reusable data-product and architecture decisions.
Worked with operational stakeholders to translate service-quality reporting needs into production data solutions covering passenger experience and outsourced services. Designed and maintained pipelines ingesting, cleaning and standardising data from multiple sources; automated quality controls and optimised orchestration for BI consumption. Mentored engineers on pipeline best practices and aligned data delivery with business reporting expectations.