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Designs and builds scalable data platforms using Snowflake, Databricks, and ETL/ELT tools for global clients, while advising stakeholders on architecture and governance.
Build and maintain an AWS-based data lakehouse for a major French bank, designing pipelines to ingest and process customer and ESG data for AI use cases.
Senior AWS Data Platform Engineer builds and maintains a modern AWS-based data lake/lakehouse to power generative AI and customer/ESG analytics for a major bank.
Build and automate a self-service Kafka-based streaming data platform for teams, using Kubernetes, GitOps, and CI/CD to replace legacy ETL and accelerate the Data Platform transition.
Lead a team building cloud-based data pipelines and warehouses using Databricks, Snowflake, and Azure Fabric to deliver analytics and AI solutions for enterprise clients.
Lead the design and build of a robust, scalable data/ML platform for finance-sector clients, setting technical foundations and guiding high-caliber teams.
Senior Data Analyst & Engineer builds and maintains Databricks/Azure pipelines, creates KPI dashboards, and delivers analytics to improve manufacturing quality and performance.
Design and maintain scalable data pipelines using Python, PySpark, and Spark Streaming to process batch and real-time data for high-quality datasets.
Design and build modern data and AI pipelines (data lake, lakehouse, data mesh) and deploy GenAI/BI solutions for international clients.
Lead a team to design, build, and optimize Databricks-based data pipelines and AI architectures for enterprise clients, ensuring scalable data ingestion, processing, and visualization while mentoring engineers.
Build and optimize scalable data pipelines on Databricks and cloud platforms, ensuring data quality and performance for enterprise clients.
Design and deploy high-performance data analytics solutions using Azure and Microsoft Fabric, including ETL pipelines, data lakes, and Power BI reports for enterprise clients.
Build and optimize cloud-based data pipelines and platforms for clients using GCP/AWS/Azure, focusing on BigQuery, dbt/Dataform, and FinOps.
Consultant builds and maintains data pipelines, warehouses, and catalogs for clients using tools like Talend, Microsoft Fabric, and Azure, while advising on best practices.
Senior data engineer leading a team to design, build, and maintain secure data pipelines and storage systems for a French military air base, enabling analytics and AI use.
Senior Data Engineer designs and builds scalable data platforms (data lakes, warehouses, pipelines) for clients, using cloud tools (GCP/Azure), ETL/ELT (dbt, Snowflake), SQL and Python to deliver reliable, high-performance data solutions.
Designs and deploys Microsoft Fabric and Azure-based data solutions, building ETL pipelines and models for analytics and reporting.
Design and build large-scale BI and data analytics solutions using Azure Synapse, Data Factory, Databricks, and Power BI for enterprise clients in Malta.
Senior SAP Data Engineer to migrate SAP data to AWS, build ETL pipelines, and rebuild Power BI reports while ensuring data quality and traceability.
Build and maintain a modern AWS-based data lakehouse and ETL pipelines for a large bank using PySpark, Java, and cloud-native tooling.
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