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Lead a team to build and optimize GCP-based ELT pipelines in BigQuery using Dataform and SQL, focusing on cost, performance, and data quality.
Builds and maintains OMOP/FHIR data pipelines to integrate real-world clinical data for analytics and research in a healthcare setting.
Lead the design and optimization of data pipelines and AI models on Google Cloud, using BigQuery, Dataform, and Python to build scalable ELT workflows and maintain robust data platforms.
Designs and maintains EU data pipelines for a mobility company, integrating sales, telematics, and market data while ensuring GDPR compliance and optimizing ETL/ELT processes.
Design and build scalable data platforms, lakehouse architectures, and ETL/ELT pipelines while collaborating with ML/AI teams to shape data strategy.
Builds and optimizes graph data pipelines and models using Neo4j, focusing on ETL/ELT workflows and real-time data ingestion for business needs.
Leads the architecture and optimization of data pipelines on Snowflake and dbt, sets engineering standards, and collaborates with Power BI to deliver logistics analytics.
Build and optimize cloud data pipelines using Snowflake, dbt, and advanced SQL to implement ELT architectures and automated testing for international projects.
Design and build ETL/ELT data pipelines on Google Cloud Platform with BigQuery, using Python, SQL, Spark, Airflow and DevOps practices.
Build and maintain data pipelines, model data, and enable analytics using Snowflake, Python, DBT, and AWS while ensuring reliable data availability and quality.
Build and optimize data pipelines (ETL/ELT) on Azure to feed BI dashboards and analytics for a global hotel group.
Designs and optimizes cloud-based ETL/ELT pipelines and data lakes using AWS, dbt, Airflow, and Terraform to deliver data products for analytics teams.
Build and maintain a modern data architecture using AWS, SQL, Python, and Power BI to support AI, marketing, development, and cybersecurity projects.
Builds and maintains ETL pipelines and data warehouses on GCP to feed AI-driven marketing systems, using Python, SQL, dbt, and Airbyte.
Design and build secure, scalable ETL/ELT pipelines for large-scale data migrations using SQL, Python, and AWS in a fully remote role.
Build and optimize Azure Synapse data pipelines and ETL/ELT processes, then model data to power AI and analytics solutions for business stakeholders.
Senior Data Engineer building and maintaining robust data pipelines for a cyberdefense project, focusing on ETL/ELT processes and large-scale data workflows.
Designs and implements AWS-based data pipelines and ETL/ELT workflows, building scalable Lakehouse architectures with Spark and infrastructure-as-code.
Build and maintain end-to-end data pipelines and BI dashboards for an ecommerce retailer using Databricks, PySpark, SQL, Python, and Power BI.
Design and build large-scale data migrations, ETL/ELT pipelines, and data quality controls using SQL, Python, and AWS for a global product team.
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