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Migrate and automate data pipelines from Cloudera Hadoop to Databricks, using Python (PySpark), SQL, Airflow, and Azure DevOps for CI/CD.
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.
Leads the design and rollout of a secure, governed data and AI platform for a major media/public-sector client, integrating GCP/AWS, Kubernetes, Kafka, and Collibra with strict data-security and DevOps practices.
Build and maintain data pipelines in Snowflake for banking clients, focusing on ingestion, transformation, and quality for credit, risk/compliance, and payments systems.
Build and maintain cloud data pipelines and analytics for banking/insurance clients using Spark, Kafka, AWS, and Python, with a focus on data quality and risk/finance reporting.
Build and maintain robust data pipelines on AWS to centralize and process terabytes of media audience, adserver, CRM, and radio data, using Python, PySpark, and SQL to deliver actionable insights and KPIs for advertising, streaming, and CRM teams.
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 a cloud-scale data lake and ETL pipelines on AWS for a major bank’s AI and analytics platform using PySpark and Java.
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 cloud-based data pipelines in Python and SQL, design modern data platforms (Data Lake, Warehouse), and ensure data quality and observability for analytics and AI projects.
Builds and maintains data pipelines, automates Power BI reports, and industrializes data workflows using Python, PySpark, SQL, Azure Databricks, and Azure DevOps.
Designs and maintains data pipelines with PySpark and SQL, industrializes and supervises ETL workflows, and builds Power BI reports to support project management at a French energy utility.
Build and maintain data pipelines in Python/PySpark and SQL, working with Hive/Hadoop/Cloudera and Snowflake/BigQuery to support a media-sector client’s data platform.
Build and maintain Python and PySpark data pipelines on AWS for large-scale data processing and cloud-based analytics.
Build and maintain data pipelines in SQL and Python/PySpark to deliver insights for Pluxee’s employee-benefits platform.
Designs and builds data pipelines and processing systems to power AI solutions for energy optimization and industrial automation using Python, Spark, and cloud platforms.
Build and maintain CNP Assurances’ data infrastructure, enriching the Datalake and collaborating with Data Scientists to deliver innovative use cases using AWS, Python, Spark, and Snowflake.
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.
Build and maintain cloud-based data platforms using PySpark, SQL, and streaming frameworks like Kafka to process and deliver large-scale datasets for analytics.
Build and maintain cloud data pipelines and platforms for clients using AWS, Snowflake, Databricks, and Airflow, primarily in Python and PySpark.
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