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Build and maintain scalable data pipelines and models using Python, SQL, dbt, BigQuery, and Airflow to power analytics and reporting for a digital-offer platform.
Build and maintain scalable data pipelines and cloud infrastructure for a media company’s data platform using Python, Spark, SQL, GCP, Airflow, and Terraform.
Build and maintain scalable data pipelines on GCP for a large media company, using Python and SQL to ensure high-quality data flows.
Build and maintain scalable data pipelines and quality systems on GCP using Python, SQL, and Terraform to power the Data4All product.
Builds full-stack .NET/Angular applications for industrial R&D systems, integrating software components and testing on real hardware.
Builds and maintains Python-based backend services in a fully cloud-native environment, applying DevOps practices to design robust architectures and optimize performance.
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