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Architect and build robust data pipelines using Python, SQL, and Airflow for an AI-driven data platform in a new agency setting.
Designs and builds AI-ready data pipelines and architectures for client projects using Python, SQL, dbt, Airflow, and BigQuery/Snowflake/Databricks in a CI/CD environment.
Build and maintain data pipelines, automate integrations between ERP/PIM/e-commerce and BI tools, and develop Power BI reports for a mid-size industrial company.
Senior Data Engineer builds and maintains scalable data pipelines in Python on GCP, designing robust ingestion and transformation flows for analytics and BI teams.
Migrate and automate data pipelines from Cloudera Hadoop to Databricks, using Python (PySpark), SQL, Airflow, and Azure DevOps for CI/CD.
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 robust data pipelines and cloud-native platforms using Python, SQL, dbt, Airflow, BigQuery, Snowflake, and Databricks, while integrating AI/ML workflows and RAG systems.
Designs and builds cloud-native data pipelines and platforms using Python, SQL, dbt, Airflow, and GCP, integrating AI/ML workflows and real-time analytics.
Data Engineer to migrate data to SAYVINT, build and maintain Airflow and Dataiku pipelines, and ensure data reliability in a multi-referential environment.
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 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.
Design and maintain scalable data pipelines and architectures (ETL/ELT, data lakes, warehouses) using Python, SQL, Spark, Kafka, and cloud platforms (AWS/GCP/Azure).
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.
Designs and optimizes data pipelines using Snowflake, Airflow, and dbt in an agile hybrid setup.
Designs and maintains scalable data pipelines in Python, SQL, dbt, and Airflow, ensuring data quality and governance across BigQuery, Snowflake, and Databricks to support AI-driven workflows.
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.
Senior Data Engineer to audit and optimize Airflow workflows, collaborating with non-IT teams using Python and strong communication skills.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform, optimize BigQuery warehouses, and automate data workflows with Python, SQL, and Terraform for real-time analytics and business insights.
Design and build scalable big-data pipelines for clients, using Hadoop/Spark, cloud data services, and orchestration tools like Airflow to store, transform, and expose 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.
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