Experience

Samsung R&D Institute Indonesia

• Indonesia
• Computers and Electronics Manufacturing
• 200 - 300 Employee

• Data Engineer

  • Jul 2019 - Present

  • Defining key KPIs and metrices based on business requirements
  • Designing an effective & efficient data model and warehouse to minimize resources
  • Creating report and dashboard for Stakeholder in the form of report and web using Python (Pandas, Numpy etc) and React
  • Building batch data pipeline using various latest technologies (Redshift, Bigquery, Airflow, Python, Spark etc) handling up to hundreds of terabytes and billions of records
  • Validating and checking data quality to make sure high data accuracy and consistency
  • Performing data understanding and deep analysis to propose ideation and generate insight
  
  Projects:
  • Samsung Checkout Analytics
  • SmartThings Dashboard
  • Digital Appliance Analytics Show less