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Builds and maintains secure, scalable data pipelines for Roche’s DataOne ecosystem, transforming security telemetry into AI-ready datasets using Python, Snowflake, and dbt.
Build and run end-to-end data pipelines for enterprise clients, designing ETL workflows, cloud data models, and dashboards while mentoring junior engineers.
Build and maintain AWS-based data pipelines that ingest and transform structured data into Redshift using PySpark, SQL, and ETL/ELT tools.
Lead a team building and maintaining Java-Angular microservices, ensuring clean architecture and high-quality deliveries across hybrid Madrid offices.
Leads full-stack Java/Angular projects, sets architecture standards, and mentors teams using Spring Boot, Node.js, React, and WSO2 API Manager.
Designs and maintains data pipelines, ETL processes, and data warehouses to support analytics and business intelligence using SQL, Python, and cloud platforms.
Builds and maintains AWS-based cloud infrastructure, deploys containerized workloads with Docker/Kubernetes, and supports CI/CD pipelines for a Swiss laundry-tech manufacturer.
Builds and maintains Talend ETL pipelines for data migration, cleansing, and quality control, ensuring robust and traceable data flows into target systems.
Build and migrate an on-premise data lakehouse, then run pipelines, monitor, and advise teams on data use for BI and AI.
Design and build scalable data platforms for clients, including ETL/ELT pipelines, cloud migrations, and analytics models using SQL, Python, and cloud tools like Azure/AWS.
Designs and maintains ETL/ELT pipelines and ESB integrations using Qlik Talend, focusing on banking data flows and microservices/Kafka architectures.
Build and migrate an on-premise data warehouse to a data lakehouse, then operate and expand it while enabling BI and AI use cases.
Pre-sales role leading technical discovery, demos, and POCs for a data lineage and migration platform serving regulated industries like finance, healthcare, and government.
Build and maintain cloud-based data pipelines in Azure using Databricks, PySpark, and Python, collaborating on end-to-end data solutions for enterprise clients.
Design and build enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.
Build and optimize scalable data pipelines, ETL processes, and cloud-based data architectures using Python/Java/Scala, Spark, Kafka, and cloud platforms (AWS/Azure) to support large-scale analytics and client projects.
Build and optimize scalable HR data pipelines on Azure Databricks using Spark, SQL, and DevOps practices to power analytics and employee-facing products.
Senior Data Engineer designs and builds scalable data pipelines and warehouses, mentors junior engineers, and ensures reliable data delivery for analytics and business insights.
Designs and builds GCP-based data pipelines, warehouses, and storage systems using BigQuery, Airflow, and Python; troubleshoots performance issues and mentors junior engineers.
Designs and maintains ETL pipelines and data solutions for U.S. federal projects, using tools like StreamSets, Talend, or AWS services.
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