Experienced Big Data Engineer | Machine Learning | Data Analytic
I am an experienced Data Engineer with a strong background in the telecommunications industry, specializing in big data processing, ETL pipeline development, and data analytics. With 3 years of experience in big data and 6 months in data science, I have worked extensively with Python, SQL, Spark, Shell Scripting, and various big data technologies.
My expertise includes:
• Building scalable ETL pipelines Datawarehouse for telco data (processing over 1 billion records daily) and Local Brand in Mom & Kids and Beauty & Fashion Category order marketplace data.
? Data pipeline automation ingesting from Marketplaces' API, Google Sheets, Google Drive, and Data Lake, and building monitor alerting using Google Cloud Platform (Airflow Composer, Pub/Sub, Cloud Scheduler, Dataflow, Secret Manager, Cloud Run Function, etc), Hadoop (HDFS), Apache Airflow
• Data analytics & visualization using Power BI, Tableau, Looker Studio, and Metabase
• Machine learning applications, such as customer churn prediction & A/B testing
• Optimizing data-driven business decisions, leading to improvements in ARPU, retention rates, and API monetization
• Developed API integration and automation between Jubelio order system and Jurnal.id for invoicing in collaboration with finance and distribution teams, enabling timely AR recognition and enhancing cash flow accuracy.
I am deeply passionate about big data, data engineering, and analytics, always eager to explore new technologies and methodologies. While primarily focusing on data engineering, I am also open to data analytics, data science, and business intelligence opportunities.
Let's connect! If you're interested in discussing data, analytics, or collaboration opportunities, feel free to reach out at:
Email: [email protected]
CP: +62-8515-5698-3459
Loading ...
