I'm William Wibowo, a Data Engineer. Ready to
Crafting Intelligent
Building and optimizing ETL pipelines, data ingestions, data warehouses, data qualities, and data platforms to enable a better data processing and analysis
About Me
William is a data & platform engineer with extensive experience designing, developing, and maintaining robust data ecosystems. William experience spans data engineering, data warehousing (Analytics Engineer), business intelligence, data governance, and full-stack development, giving him a well-rounded perspective on the end-to-end data lifecycle. Most recently, at Traveloka, He focused on data warehouse engineering, optimizing data pipelines and ingestion processes, ultimately improving data delivery timeliness by 40%. He also enjoy sharing his knowledge and have led internal training programs on Data Modeling, Data Warehousing, and Software Engineering best practices. Prior to this, He also honed his QA automation skills at Shopee, ensuring the reliability of mobile applications, and gained valuable full-stack development experience at Sea Ltd. through the Full Stack Developer position, where he led the development of an internal prototype e-commerce application. William's background also includes business intelligence and data analysis experience gained through internships at OVO and Paragon Technology and Innovation. At OVO, he contributed to a large-scale data migration to GCP and developed automated job scheduling solutions. At Paragon, he streamlined data preparation during a migration, significantly reducing processing time. Beyond professional experience, he serves as a Cloud Computing Tech Advisor for Bangkit Academy, mentoring students on capstone projects. He also has a history of leadership in student organizations, organizing events and workshops. William is eager to contribute to innovative projects, leveraging his data engineering expertise to build scalable and impactful solutions.
Education & Certification
Institut Teknologi Bandung (ITB)
Industrial Engineering Major - Bachelor of Applied Science (BASc)
Google Cloud
Professional Data Engineer (PDE)
- Design data processing systems
- Ingest and process the data
- Store the data
- Prepare and use data for analysis
- Maintain and automate data workloads
Some Quantifiable Achievements
- 2+
- Years of Experience
- 1000TB+
- Annual Processed Data
- 10+
- Data Source Aggregated
- 2+
- Certification & Awards