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Senior Data Engineer builds robust data pipelines and cloud infrastructure using Python, SQL, and Airflow to support AI and analytics workloads.
Build and secure big-data pipelines to turn raw naval-system data into real-time dashboards and anomaly-detection models for maintenance and decision support.
Build and maintain scalable data pipelines, warehouses, and lakes for public-sector or energy clients using Spark, Snowflake, Kafka, and GCP/Azure.
Design and build Databricks-based data pipelines and warehouses for enterprise clients, mentor junior engineers, and lead end-to-end industrialization of data solutions.
Build and maintain the data stack for AI teams that detect objects in satellite imagery using Python, Airflow, PostgreSQL, and AWS, while also contributing to model training pipelines.
Build and maintain scalable data pipelines, warehouses, and lakes for public-sector or energy clients using Kafka, Spark, Snowflake, and GCP/Azure.
Build and maintain ETL/ELT pipelines to ingest and transform game-player data, ensuring quality and reliability for Ubisoft’s titles like Assassin’s Creed and Rainbow Six.
Build and maintain data pipelines using DBT and SQL in a cloud warehouse, ensuring reliable, tested models and CI/CD integration.
Build and maintain cloud data pipelines and platforms for clients using AWS, Snowflake, Databricks, and Airflow, primarily in Python and PySpark.
Build and optimize scalable, secure Snowflake-based data pipelines and modern data platforms for clients, integrating multi-cloud services and applying DataOps best practices.
Build and maintain scalable cloud data pipelines on Snowflake, using dbt for analytics modeling and Airflow for orchestration, to deliver reliable data assets for BI and Data Science teams in a banking context.
Build and scale a unified data platform for a fintech/e-commerce group, migrating workflows to Snowflake, dbt Core, and Airflow while ensuring data reliability and security.
Build and maintain scalable data pipelines on AWS to power internal analytics and client-facing APIs, using Python, Airflow, Kafka, and Terraform.
Lead a modern enterprise data platform using Snowflake and dbt, designing ELT pipelines, optimizing SQL, and guiding teams to deliver reliable, business-impactful data solutions.
Lead Data Engineer to build and scale data pipelines and warehouses for a B2B startup serving hotels, using Python, SQL, Airflow, dbt, and cloud services.
Senior Data Engineer builds and scales Databricks/AWS pipelines to industrialize analytics and ML prototypes into robust, governed solutions for an energy-sector platform.
Designs and builds scalable data pipelines, cloud data architectures, and ETL/ELT processes for AI and ML projects at major enterprise clients.
Build and optimize scalable data pipelines on Google Cloud Platform (BigQuery, Cloud Functions) to support retail analytics and reporting.
Build and optimize data pipelines for an energy company using Airflow, Python, and Trino, while auditing and improving existing workflows and collaborating with non-technical teams.
Design and maintain high-performance data pipelines and cloud architectures using Python, SQL, Spark, Kafka, and cloud platforms (AWS/GCP/Azure) to deliver clean, secure data for analytics and AI teams.
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