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I'm a driven data engineer with a passion for automating workflows and tackling complex data challenges. I combine extensive experience in Python with mastery of data manipulation libraries like Apache Spark and Pandas, enabling me to efficiently manage and transform massive datasets.

My experience goes beyond on-premises infrastructure, I've worked with large cloud stacks like AWS and Azure. In AWS cloud, I am proficient in leveraging services like S3, Redshift, Glue and Lambda to build robust and scalable data pipelines and in Azure I have used Blob, ADF and Synapse services to build pipelines.

I worked with Databricks to migrate data to the cloud, thus generating optimization of storage and processing costs and ensuring the availability and security of critical information.