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Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform using BigQuery, DBT, and Airflow to deliver clean, documented datasets for analytics and marketing teams.
Build and maintain scalable ETL/ELT pipelines on GCP to feed a modern data platform, enabling analytics and dashboards for an e-commerce and natural-cosmetics retailer.
Designs and builds modern data platforms using Snowflake and Airflow, transforming data pipelines in an agile team.
Build and maintain high-volume data pipelines on GCP using BigQuery, dbt, and Airflow, optimizing performance and ensuring data quality for analytics.
Design and deploy robust ETL/ELT pipelines, orchestrate workflows with Airflow, and build modern data stacks on Denodo, Dremio, Trino, and Iceberg in Kubernetes environments for public-sector clients.
Build and deploy ML models end-to-end: design MLOps pipelines, containerize services, and scale AI systems on cloud platforms like AWS/GCP.
Senior Data Engineer building and optimizing data pipelines and warehouse models for Ubisoft’s Publishing domain, using SQL, Python, PySpark, Snowflake, and Databricks.
Build and maintain end-to-end data pipelines and modern data stacks for clients, using cloud DWHs (BigQuery/Snowflake), orchestration (Airflow, dbt), and SQL/Python to deliver reliable, analytics-ready data and BI solutions.
Builds and optimizes data pipelines using dbt, Snowflake, Airflow, and Python to deliver reliable, high-performance data platforms for clients in finance, healthcare, mobility, and climate sectors.
Build and maintain robust data pipelines using DBT and Snowflake, transforming raw data into clean, governed assets for business analytics and regulatory reporting.
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 cloud-based data platforms (datalakes, ETL pipelines) for enterprise clients, using AWS/GCP/Azure, Python, Airflow, and DevOps tools.
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.
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