Boston, Massachusetts, United States
• Collaborated with cross-functional team of engineers, data scientists, scientists, and product managers to execute carbon credit pipeline that calculated carbon dioxide sequestered by farmers based on changes in agricultural practices using Python on AWS Managed Workflows for Apache Airflow (MWAA).
• Wrote synthetic events engine using Python to alleviate data burdens and enhance usability for farmers.
• Refactored data models from Snowflake into PostgreSQL to improve data integrity, resulting in more reliable and accurate agricultural data.
• Interviewed engineers and scientists as part of recruitment process.
• Developed code freeze process to replay carbon issuance pipeline for verifiers by snapshotting OneDB in AWS RDS, snapshotting tables in Snowflake, forking Git repositories, and pointing those forks to snapshots.