Early engineering team member developing microservices, SDKs, and backend infrastructure providing modeling tools for sustainable capital planning and infrastructure projects.

Core stack: TypeScript, Python, SQL, Kubernetes, Docker, Postgres/PostGIS, Node.js, GraphQL, gRPC, GCP.

Designed and built weather forecast and wind-wave model pipelines, data processing tools, and APIs

serving global weather data and real-time sensor readings to support internal maritime routing products

and external research partners.

Core stack: Python, Kubernetes, Docker, Airflow, Serverless, SQL, JavaScript, Node.js, Bash, Snowflake, Postgres/PostGIS, Redis, AWS (S3, Lambda, Kinesis, CloudWatch).

Developed data infrastructure, pipelines, and analytics tools for processing product usage and billing data to support strategic decision-making and finance initiatives.

Core stack: Python, SQL, Kafka, Kinesis, Snowflake, Redshift, Postgres, MySQL, Redis, Airflow, Docker, and Databricks.

[Shut down March 2020]. Built and scaled ETL pipelines to ingest raw metadata from distributed data-lake environments and serve actionable insights that help customers understand the performance of their data products.

Core stack: Python, SQL, Redshift, Elasticsearch, Postgres, Snowflake, Redis, CloudWatch, Django, and Docker.