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Designs and scales data infrastructure (lakes, warehouses, pipelines) using Spark, Kafka, ClickHouse, and PostgreSQL, while leading a team of data engineers and collaborating with data scientists and DevOps.
Build and maintain scalable data pipelines and analytics platforms for enterprise clients using Python, ETL tools, and cloud services like GCP/AWS.
Design, build, and maintain SAP BW data models and ETL pipelines to deliver reliable analytics and reporting for a large construction-machinery group.
Designs and maintains cloud data pipelines using Snowflake and Talend, builds data models, and ensures secure, compliant data delivery for business users.
Designs, builds, and maintains critical data pipelines using Semarchy xDI, optimizing batch processing and performance for a data-focused product company.
Lead a team of data engineers to build scalable data pipelines and cloud infrastructure (AWS/GCP/Azure) using Spark, Kafka, and Terraform, while collaborating with data scientists to industrialize models.
Designs and maintains MuleSoft Anypoint and Talend data-integration APIs and pipelines, ensuring secure, well-documented architectures that meet business needs.
Build and maintain scalable ETL/ELT pipelines on Databricks using Spark SQL, PySpark, and Scala to feed reliable, high-performance data for analytics and decision-making.
Build and maintain scalable data pipelines, integrate data into a cloud-based data lake, and collaborate with data scientists to enable predictive modeling using Python, Spark/Databricks, and SQL.
Senior Data Engineer builds and maintains dbt-based data pipelines and models to ensure reliable, high-quality data flows for client projects.
Build and maintain ETL/ELT pipelines in Talend and BODS, design BI models in Power BI/BO, and deliver dashboards for an industrial company’s decision-support team.
Build and maintain the data infrastructure that feeds AI imaging models, collaborating with scientists to train and deploy computer-vision systems for satellite and video data.
Build and maintain Decathlon’s global data platform, designing scalable pipelines and modern data stacks (Databricks, Airflow, Spark) to power analytics and AI across the company.
Build and maintain data pipelines for AI-driven SaaS products (DemandSens, Sellia) using Airflow, Python, and cloud services (AWS/Azure) to power predictive analytics and sales forecasting.
Design and build scalable GCP data pipelines and deploy agentic AI systems using Vertex AI, LangChain, and RAG for enterprise clients.
Build and maintain robust data pipelines on GCP for high-volume clients, using Python, Airflow, and dbt while helping shape internal data standards and mentoring peers.
Data Engineer builds and maintains ETL/ELT pipelines and data flows, models data warehouses, and collaborates with business teams to deliver analytics-ready solutions.
Design and maintain data pipelines, governance, lineage, and OMOP modeling for a precision-medicine platform that integrates omics data for medical research.
Build and maintain scalable data pipelines and dashboards using SQL and PowerBI to enable data-driven decisions.
Data Manager/Data Engineer designs and maintains reliable data frameworks, orchestrates ETL pipelines, and translates business needs into usable BI solutions for clients.
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