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ETL Development, Data Warehousing, and Data Migration
Efficiently process your data from datalake into datawarehouse in the most optimized structures through ETL process.
- Extract: Seamlessly ingest data from diverse sources.
- Transform: Apply advanced data modeling for actionable insights.
- Load: Store structured data in scalable warehouses.
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Data Ingestion & Data Platform Development
Designing & developing robust collaborative systems for all of your data assets according to your workflow needs.
- Pipeline Builder: Streamline development with Dbt.
- Pipeline Scheduler: Orchestrate workflows using Airflow.
- Pipeline Orchestrator: Scale processes with Kubernetes.
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Data Quality, Data Governance, and Schedule Optimization
Ensuring your data is reliable, consistent, and secure. By enhancing your data pipeline to accomodate 5 dimension of Data Quality.
- Availability: Maximize data uptime.
- Completeness: Fill in the gaps.
- Accuracy: Deliver high-quality information.
- Timeliness: Receive data when you need it.
- Consistency: Align data across systems.
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
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