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Designs and builds cloud data platforms on AWS, Azure, and GCP using SQL, Python, and ETL best practices for enterprise clients.
Design and deliver enterprise-scale cloud data platforms and AI/GenAI pipelines for clients, using AWS/Azure/GCP, Snowflake, and Databricks.
Design and build enterprise-scale data platforms for AI and GenAI solutions in cloud environments, mentor engineers, and collaborate with clients.
Builds secure, scalable full-stack apps using React and Node.js as part of a product engineering team in Jalisco.
Build and maintain data pipelines using Snowflake and Azure Data Factory to keep data platforms running smoothly.
Build and maintain Snowflake-based data pipelines and Azure Data Factory workflows, troubleshoot production issues, and improve reliability and performance for enterprise data platforms.
Design and deliver modern data platforms on AWS, Azure, and GCP, using cloud data warehouses, Spark, Kafka, and ML tools to build scalable analytics and AI solutions for enterprise clients.
Build and maintain full-stack applications in a product engineering team, using modern frameworks and agile practices to drive digital transformation.
Builds scalable cloud and full-stack applications in a hybrid setting, collaborating with engineers to deliver high-quality software solutions.
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