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
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