I am a data engineer focused on metadata-driven ingestion, Python-based Airflow DAGs, Snowflake pipelines, PySpark jobs, Trino SQL views, and Great Expectations validation. My work sits close to production: reducing manual setup, fixing recurring pipeline failures, and making messy operational feeds reliable for reporting teams.
July 2025 - Present
Credit One Bank
Las Vegas, NV
Python, SQL, Airflow, PySpark, Snowflake, Trino, Kubernetes
Building metadata-driven Snowflake ingestion pipelines, Airflow DAG tooling, Great Expectations quality checks, and production fixes across PySpark, Trino, Kubernetes, and schema migration work.
Sep 2023 - May 2025
Advertising Checking Bureau
Tempe, AZ
SQL, Excel
Validated about 120 claims daily with SQL and automated recurring Excel reporting workflows, reducing report preparation from about an hour to under 15 minutes.
Python, GitHub Actions, SQLite, API ingestion
Airflow, Python, SQL metadata, Snowflake
Snowflake, Trino SQL, schema mappings
Patterns I use for production workflows: metadata-driven setup, idempotent tasks, clear failure points, and visible reruns.
The core pieces I care about: schemas, target mappings, validation zones, audit tables, and reporting-ready handoffs.
Data quality work should catch malformed files, schema drift, delimiter issues, and datatype mismatches before downstream users see them.
Graduate data science training backed by information technology fundamentals and production data engineering work.
Master of Science in Data Science
Expected Apr 2027 / GPA 4.0 / Halicioglu Data Science ScholarshipBS Information Technology
Completed Aug 2025 / GPA 4.0 / New American Scholarship / Dean's List