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Designs and builds enterprise-scale data pipelines on AWS and Spark, integrating GenAI platforms and collaborating with AI engineers to deliver scalable data products.
Design and optimize Azure Lakehouse data pipelines for analytics and AI use cases, ensuring performance, quality, and AI-assisted development practices.
Senior Data Engineer builds and runs AWS-based data pipelines, mentors junior engineers, and advises clients on scalable data platforms using Python, Spark, and Airflow.
Designs and builds scalable data pipelines, integrates cloud data warehouses, and embeds AI models for clients in retail, energy, and industry using Snowflake, dbt, Talend, Python, and cloud platforms.
Design and build Microsoft Fabric lakehouse architectures, ingest multi-source data, and orchestrate pipelines for a 6-person data team.
Build and maintain scalable ETL/ELT pipelines on Databricks (Spark SQL, PySpark, Scala) to feed reliable, high-performance data for analytics and decision-making.
Build and maintain AWS-based data pipelines and lakehouse architecture for a large bank’s AI and ESG initiatives, using PySpark, Java, and CI/CD.
Build and maintain a cloud-native AWS data platform and pipelines for a generative-AI program that helps investment bankers detect opportunities and analyze ESG/financial data.
Build and optimize ETL/ELT pipelines on Databricks using Spark SQL, PySpark, and Scala, and set up a Lakehouse with Delta Lake for reliable, secure data delivery.
Design, build, and deploy end-to-end data pipelines on Databricks to migrate legacy systems to a modern Lakehouse architecture in Paris.
Build and maintain reliable data pipelines and analytics models to help clients optimize energy contracts and track sustainability progress using SQL, Python, and Databricks.
Data Engineer builds and maintains scalable data pipelines, integrates diverse sources, and ensures data quality for clients and internal projects using Python, Spark, and cloud platforms.
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
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 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 optimize scalable data pipelines and lakehouse infrastructure (Spark, Databricks, Snowflake) for a SaaS data-management platform, and help kick-start early AI use cases.
Lead a team to design and build end-to-end data architectures on Google Cloud, using BigQuery, Dataflow, and DBT to create scalable ETL/ELT pipelines and integrate GenAI services.
Designs, builds, and maintains scalable data pipelines and streaming architectures using Spark, Kafka, and Python, while enforcing data quality, observability, and CI/CD practices for enterprise clients.
Senior Data Engineer builds and scales Databricks/AWS pipelines to industrialize analytics and ML prototypes into robust, governed solutions for an energy-sector platform.
Design and build large-scale data pipelines on Azure/Databricks using PySpark, ensuring quality and performance for a major electricity distributor.
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