I have been a Data Engineer for 6 years, with 5 years contributing remotely to international teams, demonstrating a strong ability to design and implement scalable data solutions. I have achieved significant results in developing and optimizing ETL/ELT pipelines using modern tools like DBT and Apache Airflow. My expertise covers end-to-end data platform components, including data ingestion, transformation, data quality checks, and CI/CD implementation. I am looking for Data Engineering role where I can leverage my expertise in Python, SQL, AWS, GCP, and Terraform to build robust, scalable, and efficient cloud-native data architectures. What sets me apart is my proven track record in architecting and executing end-to-end data cloud pipelines and my ability to work cross-functionally with data scientists, analysts, and BI developers to define and address complex data requirements.
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