Christina Long Email & Phone Number

San Francisco, California, US

Early engineering team member developing microservices, SDKs, and backend infrastructure to model interventions for achieving sustainability goals in capital planning projects.Core stack: TypeScript, Python, SQL, Kubernetes, Docker, Postgres/PostGIS, Node.js, GraphQL, gRPC, GCP.

San Francisco, California, US

Designed and built weather forecast and wind-wave model pipelines, data processing tools, and APIs serving global weather data and real-time ocean sensor readings to support maritime routing operations and scientific research partners.Core stack: Python, Kubernetes, Docker, Airflow, Serverless, SQL, JavaScript, Node.js, Bash, Snowflake, Postgres/PostGIS.

San Francisco, CA, US

• 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.
• Led a project involving cross-functional teams to migrate and backfill the CRM instance with zero downtime, ensuring uninterrupted business operations.
• Automated Kafka topic deployment with integrated data quality monitoring and recency alerts to enhance data reliability and operational efficiency.
• Enabled distributed compute for Airflow workers to make ETL infrastructure more scalable, reliable, and performant; added performance monitoring, logging, and health checks.

San Francisco, CA, US

• [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.
• Developed data integration pipelines to extract customer warehouse performance metrics and derive insights, ensuring data delivery with measurable quality and under 15 minute latency.
• Reduced cost and latency by optimizing data ingestion workloads, SQL queries, and data transfers.
• Execute database performance benchmarking for internal use cases and against external specifications.

Nashville, Tennessee, US

• Developed, tested, and maintained ETL pipelines delivering reliable data for analytics and application layers; built RESTful APIs and services to power user-facing applications. Core stack: Python, SQL, Postgres.
• Tech lead on rearchitecting provider data capture: collected business requirements from stakeholders and led development work including system design, data model changes, and data backfill strategy.
• Scaled operational processes by designing and building an end-to-end workflow for storing and tagging medical documents with metadata that mapped to new models in downstream applications
• Contributed to internal process improvements that accelerate developer velocity and system reliability, such as enhancing application monitoring, speeding up staging database refreshes by 10x, and optimizing data.

New York, NY, US

New York, NY, US

Los Angeles, CA, US

Digitized cuneiform tablets with Sumerian and Akkadian legal texts to integrate with transliteration and translation records in online database.

Migrated eight seasons of the UCLA/RUG Fayum Project's excavation catalogue to an online database. Enabled metadata linking from photographic records to features in digitized excavation unit sheets and plans.

Los Angeles, CA, US

Trench excavation and field survey of Neolithic and Greco-Roman sites. Data collection and spatial analysis using GIS and robotic total station. 2008 & 2009 seasons.

M.A., Archaeology (Egyptology)

B.A., Near Eastern Languages And Cultures & Studio Art

Software Engineering Fellowship

Climate Change: Learning For Action