‣ Contributed to architectural design discussions for, and later implemented, data ingest pipeline components using AWS Lambda, SQS, Aurora w/ PostgreSQL, and the RDS Data API.
‣ Designed and implemented bespoke "Translators" that convert vector data from third-party source formats to a proprietary internal data model and then to customer-defined map schemas using a variety of geospatial transformations, graph-traversal algorithms, and data modeling techniques.
‣ Automated the transformation of legacy data to comply with new schemas.
‣ Contributed to the rollout of an org-wide auth&auth standard by evaluating vendors, creating proof-of-concept implementations, and writing developer tools and libraries to ease adoption.
‣ Independently designed and implemented a plug-and-play logging client that enforces a static top-level ELK schema while sandboxing the content of a service's logs to their own namespace.
‣ Created a fully-loaded github template that models a python module packaged as a library and uploaded to our internal PyPi index, eliminating the need for new projects to manually configure packaging, CI pipeline workflow integration, and deployment.