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Designs, builds, and maintains scalable big data platforms and ETL/ELT pipelines, optimizing SQL and data models for enterprise-scale analytics. Core stack: Python, Spark (PySpark), SQL, Airflow, and Linux-based environments with DevOps practices.
Designs, builds, and maintains enterprise-scale big data pipelines and platforms using Python, Apache Spark/PySpark, SQL, and Airflow, deployed on Linux and Kubernetes with CI/CD automation. Day-to-day work spans ETL/ELT, performance tuning, and platform operations; the role requires relocation to Malaysia.
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