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Designs and maintains ETL pipelines and cloud-based data systems using Python/Java and AWS/Azure/GCP to support data science and business needs.
Build and optimize Snowflake-based data pipelines for banking clients using dbt and Airflow to ensure reliable, traceable data flows.
Design and maintain scalable data pipelines on Teradata and Big Data platforms for a major bank, then collaborate with data scientists to build and industrialize predictive models and AI-driven insights.
Build and maintain scalable cloud data pipelines on Snowflake, using dbt for analytics modeling and Airflow for orchestration, to deliver reliable data assets for BI and Data Science teams in a banking context.
Build and maintain robust ETL pipelines, cloud data platforms, and databases to support analytics and AI teams using Python, Spark, and cloud services like AWS/Azure/GCP.
Build and maintain scalable data pipelines on Databricks, integrating diverse sources and industrializing ML models for enterprise clients.
An experienced DevOps engineer designs, deploys and maintains CI/CD pipelines and cloud infrastructure for large-scale digital transformation projects.
Build and maintain CI/CD pipelines and DevOps tooling to automate software delivery for a product team.
Build and optimize CI/CD pipelines and DevOps tooling for client projects using Ansible, AWS/Azure, and Agile/SAFe practices.
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