Raymond Yang Email & Phone Number

San Francisco, California, Us

San Francisco, California, Us

- Leverage Google Big Query to build data processing pipelines, improving processing speed by over 20x.

San Francisco, California, Us

- Work closely with stakeholders across multiple teams to design and develop features for automated reporting to address critical business needs.- Optimize reporting pipeline for various measurement reports to drastically improve report run times and scalability of managed campaign analytics. Played critical parts in redesigning manual workflows to ease tedious human involvement and improve scalability.- Rebuild previously inefficient data products that were brittle and tedious to use, migrating them from pre-aggregation with Spark pipelines to a new data architecture to allow faster, flexible ad-hoc queries.

San Francisco, California, Us

- Write spark data pipelines to transform and aggregate datasets, processing hundreds of millions of records daily- Design and optimize Postgres database for client-facing dashboards- Tune spark pipelines to reduce processing time by reduce memory usage and improve resource allocation- Leverage Databricks for data quality analysis and data discovery projects- Migrate data workflows from Jenkins to Airflow to enable easier pipeline management and debugging.

Charleston, South Carolina, Us

- Build foundation for company Data Platform to de-silo data, enabling analytics across disparate products- Create frameworks to allow teams across the company to develop and deploy their own big data pipelines by leveraging Azure Services such as Azure Data Lake, Blob Storage, Data Factory, Data Lake Analytics, Batch Accounts, Key Vault, and more - Create processes to ensure isolated, audited data access to Data Lake and Blob storage across different teams and pipelines- Built upon and improved development and deployment process that ensures consistent code deployment- Develop data ingestion and enrichment pipelines in C# using various Azure Web Services to enrich non-profit constituent data- Build data enrichment workflows by leveraging Azure Databricks and Spark Structured Streaming. Enabled >10x reduction for transformation, universal constituent identification, deceased donor identification vs. Azure Data Lake Analytics and Data Factory- Design continuous integration/deployment strategy for Databricks notebooks using Microsoft VSTS

Charleston, South Carolina, Us

- Integrate with 3rd party vendors and to create and maintain data enrichment API to enable access to data quality services (such as change of address, deceased identifier, email and phone finders, universal constituent identifier, wealth ratings, and more), processing billions of records annually- Modify design of universal constituent identifier and affluence finder to improve performance by more than 5x- Batch enrichment job services and API written in Python and deployed to AWS using various services such as Docker, AWS EC2, R53, S3, Dynamo DB, RDS, and more- Improve automated application deployment to AWS using Ansible, enabling rapid, blue-green iteration and releases- Migrate log management system to Amazon managed Elasticsearch, improving reliability, and security- Build dashboards in Kibana and integrate with MIR3 alerting for more efficient monitoring and troubleshooting

San Francisco, California, Us

- Created a solution via Ruby to provide sample documents which improved success rates and attorney throughput- Implemented user facing dashboard to allow HR to efficiently manage and track status of foreign workers- Developed simple admin system to track and restore changes to customer applications, forms, and documents

- Worked with postdoctoral graduate to synthesize novel block co-polymers with electronic and ion conducting capabilities for use in lithium battery cathodes- Cast cathodes with different compounds to determine an active material with a high specific capacity - Assembled solid state lithium-iron phosphate battery cells in an Argon glove box for cycling procedures

Sunnyvale, California , Us

- Developed program via Matlab to effectively automate line edge roughness analysis of 10000+ SEM images- Formulated 15+ photoresists and characterized the performance of each with respect to customer specifications- Collaborated with experienced Micron engineers to create and analyze resists targeting DRAM specifications