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Erik Arriaga
Mid-level Data Engineer specializing in cloud data pipelines and machine learning
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About
Experience spans college-built AWS-hosted Python/Flask web apps and enterprise data work at General Motors, including PostgreSQL query optimization on millions of records and multi-tenant-style data isolation using group-based, column-level permission grants. Also built an AWS-hosted meat price prediction dashboard using Dash/Plotly and ran large nightly data pipelines orchestrated with Apache Airflow.
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Key Strengths
- Backend development with Python/Flask deployed on AWS
- PostgreSQL performance tuning via selective indexing on large datasets (millions of records)
- Designing and validating data access controls for sensitive data (group-based, table/column-level permissions)
- Building interactive analytics dashboards integrating prediction outputs (Dash/Plotly)
- Orchestrating overnight batch data pipelines using Apache Airflow with run reporting/monitoring
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