
William Y.
Verified Expert in Engineering
Data Engineer and Developer
Los Angeles, CA, United States
Toptal member since March 11, 2025
William is a highly experienced and accomplished data and cloud solutions expert with a proven track record in designing, implementing, and managing robust data ecosystems. With extensive expertise in ETL/ELT processes and emerging cloud technologies, William has consistently delivered scalable, efficient, and high-performing data solutions. His deep knowledge of GCP and Snowflake spans the full stack, including data ingestion, transformation, storage, and analytics.
Portfolio
Experience
- SQL - 16 years
- Shell - 15 years
- Datastage - 12 years
- Google Cloud Platform (GCP) - 9 years
- BigQuery - 9 years
- Python 3 - 7 years
- Apache Airflow - 6 years
- Data Build Tool (dbt) - 5 years
Availability
Preferred Environment
Linux, Windows, PyCharm, Python 3, Visual Studio Code (VS Code), Cloud
The most amazing...
...accomplishment was migrating a 40-petabyte on-premises database to GCP BigQuery, achieving improved performance and scalability.
Work Experience
Senior Data Engineer
Ford Mobility
- Developed a Cloud Run service for MongoDB data ingestion and analysis from various file types, including XML, HTML, PDF, JSON, and more. Architected a data warehouse to support the service.
- Designed and developed solutions for MongoDB migration.
- Architected and ingested data into BigQuery data warehouses across different layers, transforming it as needed.
Staff Data Engineer
Macy's
- Created new ETL/ELT jobs to replace the existing on-premises jobs for the migration of the database from on-premises to GCP.
- Migrated a big data warehouse from on-premises to GCP with high efficiency.
- Oversaw the optimization of existing jobs, improving process performance and overall project efficiency.
- Developed new business requirements and implemented new services in the cloud.
Senior Programmer Analyst
CFIA
- Architected new applications for the import and export inspection department.
- Designed and developed a new HR data warehouse using data from PeopleSoft.
- Spearheaded a development team to complete a data warehouse application within a short timeframe.
Data Warehouse Developer
IBM
- Developed big data warehouses for major banks and insurance companies, including HSBC.
- Tracked and resolved issues reported directly by the client.
- Optimized deployment tools for the data warehouse on a cluster of Linux and Windows servers.
Experience
MongoDB Migration
Teradata DB Migration
Education
Master's Degree in Computer Science
McMaster University - Hamilton, Canada
Certifications
Google Cloud Certified Professional Architect
Google Cloud Certified Professional Data Engineer
Google Cloud
Skills
Libraries/APIs
Cloud Key Management Service (KMS), PubSubJS
Tools
Apache Airflow, BigQuery, Shell, Looker, Tableau, dbt Cloud, Microsoft Power BI, PyCharm, Cluster
Languages
Python 3, SQL, Stored Procedure, Snowflake, Python, XML, HTML, C#, VB, C, Go
Paradigms
ETL
Platforms
Google Cloud Platform (GCP), Cloud Run, Azure SQL Data Warehouse, Azure, Linux, Windows, Visual Studio Code (VS Code), Oracle
Storage
JSON, Google Cloud SQL, Datastage, Data Validation, Google Cloud Storage, Databases, MongoDB, IBM Db2, NoSQL
Frameworks
Spark, Hadoop
Other
IBM InfoSphere, Data Warehousing, Data Modeling, ELT, Security, Data Architecture, Data Migration, Data Engineering, Large-scale Data Migration, Data Analysis, Data Analytics, Looker Studio, APIs, Cloud, Data Build Tool (dbt), AlloyDB, Cluster and Distribute Calculation, Dataform, Data Governance
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