Bonnie Chin

Improved daily data job performance by 55% by optimizing data reads and built automated schema update tooling using Python and generative AI. Developed internal tools for data validation and mentored new engineers while participating in on-call rotations for pipeline health.

As a Data Engineer, I improved data job performance by 55% by optimizing data reads and built automated tooling for schema updates using Python and generative AI. I developed an internal tool for data validation and mentored new engineers while participating in an on-call rotation to maintain pipeline health.

In my role as a Software Development Engineer, I designed and implemented data pipelines using Scala and Spark, ensuring data accuracy through validation with SQL. I also migrated ETL jobs to Amazon MWAA, contributing to team-wide migration efforts.

As a Data Lake Engineering Summer Analyst, I improved the ElasticSearch reindex API and increased indexing efficiency using thread pools. I also created a service for integrating ElasticSearch with the Data Lake replication process and wrote unit tests to ensure functionality.

Contributed to the design and implementation of data pipelines using Scala and Spark, ensuring data accuracy through validation with SQL. Successfully migrated ETL jobs to Amazon MWAA as part of a team-wide effort.

Improved ElasticSearch reindex API for failover procedures and increased indexing efficiency through parallel processing. Developed a service for Data Lake replication and wrote unit tests to ensure data integrity.

Grade: Magna Cum Laude

Graduated with a double major in Economics and Computer Science, achieving Magna Cum Laude honors. Developed a strong foundation in both economic theory and computer science principles.