I’m a Python-focused Data Platform Engineer with 3+ years of experience building backend data systems, scalable pipelines, and distributed data services. I specialize in ETL/ELT workflows and cloud-native architectures (AWS, Snowflake, Redshift, Airflow, Kafka) to enable fast, reliable data access and decision-making. I also partner with business stakeholders and visualization teams to make data actionable through dashboards and reports.
Currently pursuing a Master of Science in Information Systems, after earning a BBA. I bring a strong business foundation and a passion for scalable data platforms, governance, and collaborative problem solving. I enjoy mentoring teammates and delivering maintainable Python-based backend solutions that power analytics and ML workflows.
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