Senior Software Engineer motivated by mission-driven companies that help the greater good. Ideal working environment is hybrid Boston office and work from home.
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).
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Wrote synthetic events engine using Python to alleviate data burdens and enhance usability for farmers.
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Refactored data models from Snowflake into PostgreSQL to improve data integrity, resulting in more reliable and accurate agricultural data.
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Interviewed engineers and scientists as part of recruitment process.
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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.
Tech led two projects using Rust involving writing technical design documents, writing Jira epics and tickets, supporting and unblocking other team members, as well as individually contributing to code.
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Led efforts that allowed for successful replaying of HL7v2 messages which failed to process originally.
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Led project that enabled graph validation against FHIR Bundles of resources.
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Translated and mapped client HL7v2 feeds into FHIR resources using FHIR Mapping Language.
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Designed technique to enable mapping overrides on per feed basis.
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Enabled monitoring on DataDog and logging on Sumo Logic for Azure Kubernetes Service (AKS) clusters.
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Built histogram tool using Rust to analyze client feeds for data visualization.