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Build and maintain robust data pipelines and cloud architectures for a client, using Python, SQL, Airflow, and Kafka to ensure data quality and availability.
Build and optimize data pipelines and infrastructure for Owkin K, an AI co-pilot that uses agentic AI to accelerate biomedical research and drug discovery.
Design and implement scalable cloud data pipelines and warehouses for clients using GCP/AWS/Azure, BigQuery, Spark, and DevOps practices.
Build and maintain data pipelines for a strategic data warehouse in the energy sector using Python, Airflow, and SQL.
Build and maintain scalable data pipelines and curated datasets in Snowflake using dbt, Airflow, and Terraform to power CRM analytics and insights for Zendesk’s support operations.
Lead the design and scaling of Alma’s data platform, integrating PostgreSQL with GCP, enforcing engineering standards, and enabling AI use cases while mentoring peers.
Build and maintain data pipelines in Python and SQL, orchestrating ETL/ELT workflows with Apache Airflow on AWS to feed AI models and internal analytics tools.
Senior Data Engineer builds and modernizes scalable data pipelines and dbt models to power a global e-commerce platform, migrating legacy systems and enabling data-driven decisions across brands and markets.
Build and maintain data pipelines for geospatial, weather, and crop data to power DNEXT’s agricultural market intelligence platform.
Build and deploy scalable data pipelines, cloud infrastructure, and full-stack apps that expose AI models and datasets for analysts and scientists.
Build and scale AQEMIA’s data platform to power drug discovery, modeling chemical structures and experimental results with Python, SQL, Snowflake, and Airflow.
Build and maintain scalable data pipelines (ETL/ELT) using Python, SQL, Spark, and Airflow to feed BI, analytics, and data science teams.
Teach data engineering fundamentals to adult learners, guiding them through Python, SQL, ETL pipelines, and big-data architectures to prepare them for industry roles.
Design and maintain robust data architectures for a Mexican energy company, ensuring data quality, integration, and governance to support operational efficiency and decision-making.
Build and maintain scalable data pipelines and warehouse models to power Farfetch’s luxury fashion marketplace analytics and reporting.
Build and maintain robust data pipelines (ETL/ELT) on cloud platforms, ensuring data quality, security, and governance while collaborating with data scientists and analysts.
Designs and builds scalable data pipelines on GCP using Python, Java, Scala, and Spark to process and store large-scale data for media and telecom clients.
Designs robust data pipelines and cloud workflows using Python/SQL, migrates Hadoop stacks to Google Cloud, and implements Airflow/Terraform for hybrid client projects in Lille.
Build and scale Vibe’s petabyte-scale data backbone, owning storage, batch/stream compute, and real-time OLAP reporting to power streaming-TV ad campaigns.
Build and scale Vibe’s petabyte-scale data backbone, owning storage, batch/stream compute, and real-time OLAP reporting to power streaming TV ad campaigns.
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