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Build and optimize data warehouses and pipelines for 45+ e-commerce clients using BigQuery, SQL, and Google Cloud.
Designs and builds Google Cloud data pipelines and models using dbt, Python, SQL, and BigQuery to transform raw data into clean, documented datasets for business stakeholders.
Builds and optimizes data pipelines and AI-driven automations in Google Cloud and BigQuery to accelerate e-commerce decision-making and shop stability for a top Dutch online sanitair retailer.
Build and maintain data pipelines that feed marketing dashboards and performance reports using dbt, BigQuery, and Looker.
Build and optimize ETL pipelines, data warehouses in BigQuery, and dbt models for e-commerce clients using Python, Google Cloud, and CI/CD.
Build and optimize cloud data pipelines on AWS/GCP, integrating big-data tools like Spark and Kafka to deliver scalable analytics for Fortune 500 clients.
Build and advise on scalable data platforms and pipelines for Dutch enterprises using Python, SQL, and cloud tools like AWS/GCP/Azure.
Design and build large-scale data pipelines in Python/Scala and Spark to curate high-quality datasets for training next-gen AI models at TB/PB scale.
Senior GCP Data Engineer builds and optimizes scalable data pipelines and CI/CD workflows using BigQuery, Dataflow, and Kubernetes, ensuring security and cost efficiency.
Senior Data Engineer builds and owns the data architecture for a fast-growing startup, designing pipelines, integrations, and AI-enabled workflows in Python, SQL, and Snowflake/BigQuery.
Build and optimize Azure-based cloud data pipelines and infrastructure for a client’s digital transformation, using Python, Terraform, and Databricks.
Mentor and lead a team migrating SQL Server and data pipelines to GCP, coaching on cloud best practices and scalable architectures.
Build and maintain scalable data pipelines using Python, PySpark, and SQL, applying software engineering best practices to data architectures in Azure and GCP.
Lead a data engineering team to build and maintain Python-based ELT pipelines into BigQuery, design SQLMesh models, and set engineering standards for a modern data stack.
Build and optimize data pipelines and architectures for clients, using Python, SQL, and cloud platforms like AWS/Azure to process and integrate data at scale.
Build and maintain the marketing measurement stack—tracking, attribution, and privacy-safe data flows—to power paid campaigns and experiments across web, app, and server environments.
Build and maintain cloud-based data pipelines and warehouses for AI-driven marketing analytics, integrating APIs and ETL processes using Python, SQL, and cloud platforms like AWS/GCP.
Build and maintain real-time data pipelines on GCP to power Orbisk’s AI-driven food waste monitoring system, enabling hospitality clients to cut waste and emissions.
Build and maintain scalable data pipelines on Google Cloud using BigQuery, Cloud Storage, and Kubeflow, while automating infrastructure with Terraform, Kubernetes, and CI/CD tools.
Designs and builds ETL/ELT pipelines, data models, and CI/CD workflows using tools like Snowflake, Airflow, Spark, and Kubernetes for high-profile clients.
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