Summary
Dewi Oktaviani is a data engineer and adjunct lecturer with a decade of experience designing and operating reliable data pipelines, ETL systems, and real-time streaming architectures across cloud-native environments. She has delivered end-to-end solutions for analytics, campaign performance, and internal automation—often combining generative AI with traditional data engineering to accelerate workflows like lead discovery and cost-effective data migration. Comfortable with Spark, Kafka, Docker/Kubernetes, and SQL-driven modeling, she has also built REST APIs in Go/Python and explored ClickHouse for high-performance analytics. A Waseda University–trained engineer and LPDP scholar, Dewi shares her work publicly through technical talks at regional Google developer events and brings a pragmatic, research-informed approach to teaching and production systems.
10 years of coding experience
10 years of employment as a software developer
Master's Degree, Master's Degree at Waseda University
SMK Telkom Sandhy Putra Malang
Universitas Negeri Malang
Indonesian, English, Japanese