Alanz Naz

Data engineer in practice — with hands-on experience building ETL pipelines, orchestrating workflows with Apache Airflow, transforming data with dbt, and deploying cloud infrastructure on GCP.

Background spans nearly 2 years across production application support, backend development, and data analytics, including direct exposure supporting enterprise clients Petronas and Petron. Proficient in Python, SQL, PostgreSQL, and MySQL, with a proven ability to troubleshoot live data systems, ensure data quality, and communicate technical findings clearly to business stakeholders. Currently pursuing the Microsoft Fabric Data Engineer Associate certification, with completed projects spanning Databricks medallion architecture, DuckDB ingestion pipelines, and Airflow-orchestrated ELT workflows on GCP.