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Naufal Azmi
Data Engineer @PT Elnusa Tbk
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WORK HISTORY
Data Engineer @PT Elnusa Tbk
Elnusa is a subsidiary of PERTAMINA as a 3rd party for contract employees. Engaged data preprocessing to clean and prepare data for analysis, generating 10+ exception signals quarterly using Oracle, SparkSQL, Fabric and SQL Server. Collaborated with stakeholders to set precise anomaly detection criteria, improving signal accuracy by 20%. Developed and maintained data monitoring dashboards to ensure stable data flow from 10+ gas station signals in the INOVASI application, achieving a 90% reduction in missed data detection and enabling quick identification of anomalies. Developed and maintained ETL pipelines with Microsoft Fabric to support 10+ dashboards at Pertamina Digital Hub, increasing data processing efficiency by 30% and ensuring timely data availability for decision-making. Implemented workflows, modules, and actions in the INOVASI application to support the Pertamina Spreading Index, reducing manual processing time by 40% and enhancing data management efficiency.
EDUCATION
Darunnajah Islamic Boarding School
Senior High School
STMIK Jakarta STI&K
Bachelor's degree
RevoU
Full Stack Data Analyst
ABOUT NAUFAL AZMI
As a highly analytical and results-oriented Data Analyst & Engineer with over 4 years of experience, I leverage my expertise to drive business growth and optimize operational efficiency. I have a proven track record of engineering robust ETL pipelines using tools like Microsoft Fabric, SparkSQL, and Oracle, which has increased data processing efficiency by up to 30%. My analytical skills have been instrumental in developing customer segmentation models, including an RFM model that led to a 35% increase in returning buyers and a 15% stabilization in churn rates. Furthermore, I\'ve delivered data-driven insights that boosted campaign effectiveness by up to 56% and improved customer retention by 20% by building and maintaining performance monitoring dashboards using Power BI. My strong foundation in database management (PostgreSQL, Oracle, MySQL) and programming (Python, SQL) fuels my passion for tackling complex data challenges and using data to make strategic business decisions.
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