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Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform to power analytics and AI use cases for enterprise clients.
Builds AI-ready data pipelines and products for life-science diagnostics, turning raw data into retrieval-ready, contract-governed assets for agent-driven modeling.
Builds AI-ready data pipelines and products for an AI platform, turning raw domain data into retrieval-ready, semantically annotated assets using agents and contract-governed standards.
Builds AI agents and RAG systems to automate marketing workflows, integrate APIs via MCP, and deliver generative insights for ad-tech and media clients.
Builds and maintains ETL pipelines that feed AI-driven marketing models using Python, SQL, and GCP in a hybrid role based in Barcelona.
Lead the architecture and delivery of large-scale healthcare data pipelines and platforms for Roche’s digital cervical screening solution, using Python, SQL, Spark, and cloud data tools.
Designs and maintains AWS-based CRM and digital marketing stacks, builds API integrations, and automates workflows to scale customer lifecycle systems and loyalty programs.
Build and maintain AI-focused data pipelines and cloud architectures, using Python, SQL, and AWS tools to feed and optimize machine-learning systems.
Build and maintain scalable data pipelines and a high-performance Lakehouse for a biotech company, using Microsoft Fabric Data Factory to turn genomic and breeding data into FAIR assets for global R&D decisions.
Build and maintain scalable data pipelines in GCP/Azure, turning analytical models into reliable, high-quality data products for global teams.
Build and deploy cloud-based data pipelines, ETL workflows, and analytics solutions using SQL, ETL tools, and cloud platforms like AWS/GCP for enterprise clients.
Build scalable ETL pipelines and real-time data processing systems using Scala and Apache Spark, deploying on cloud platforms like Azure, AWS, or GCP.
Designs and builds data pipelines using Microsoft Azure Synapse, Databricks, and SQL Server to process and model data for analytics and reporting.
Builds end-to-end data pipelines on Databricks using Python and PySpark to process large-scale datasets in a distributed Spark environment.
Build and maintain the data infrastructure (Google Cloud, BigQuery, Looker) that powers marketing and product decisions, analyze user acquisition campaigns, and create dashboards to track key metrics.
Build and optimize data pipelines for an AI-driven orthodontic clinic network, transforming raw data into insights with dbt, SQL, and Python while collaborating with product and ML teams.
Develop and maintain data pipelines for satellite and Earth Observation data using Python in Linux environments to deliver high-quality data products.
Build and maintain cloud-based data pipelines using ETL/ELT, SQL, Python, dbt, Airflow, and Spark in a product-focused team.
Design and implement Azure-based streaming-to-batch data pipelines using Data Factory, Data Lake Storage, and PySpark/Scala in Python.
Build and maintain data pipelines and distributed systems for European clients, using Python, Spark, and cloud platforms to solve business challenges in industries like pharma, insurance, and manufacturing.
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