David Gasquez

Staff Data Engineer · 2024 – Now

• Lead the core ecosystem data platform, the Filecoin Data Portal, and many downstream data products like Filecoin in Numbers, internal dashboards, public datasets, operational integrations, dbt models, and reporting workflows.
• Own KPI reporting for several organizations and overall network OKRs, WBR/QBR processes, PMF data, onboarding, ecosystem health, and strategic planning.
• Analyze protocol and ecosystem changes by combining KPI trends, stakeholder feedback, and explicit causal assumptions into decision-making artifacts.
• Maintain an accessible, low-cost, open, reproducible data stack serving hundreds of daily dashboard visits and thousands of weekly public dataset reads.

Sr. Data Engineer · 2022 – 2024

• Built and operated high-volume Filecoin chain data pipelines processing hundreds of gigabytes per day with BigQuery, dbt, Dagster, GCP, AWS, Kubernetes, and custom open-source tools.
• Created core Filecoin analytical models abstracted from raw indexer schemas, improving reliability, query performance, and reuse across dashboards, stakeholder requests, and feature impact analysis.
• Brought the Protocol Labs data warehouse into production by adopting modern data practices.
• Built open data portals to produce reusable artifacts that helped external teams self-serve Filecoin metrics instead of depending on private requests.

Sr. Data Engineer

• Architected and migrated Buffer's data platform to a modern stack, moving databases and services to GCP with no downtime and lower costs.
• Built tooling for Buffer's data streaming architecture, including kiner and stacklogging.
• Improved data scientists' UX with dbt local setup, CI/CD, tests, and modeling practices.
• Modeled social product behavior across publishing flows, channel connections, key actions, funnels, cohorts, customer segments, and Mixpanel/Segment tracking.
• Analyzed retention, churn, and feature impact using survival curves, event-based analytics, derived events, and operational analytics.
• Built ML data products including churn prediction, toxic comment detection, and hashtag recommendations.
• Iterated on privacy-aware data governance, PII tagging, data quality, and metric ownership practices.

Data Analyst

Used data to answer stakeholder questions and built a Docker-based analytics stack to make analysis reproducible and improve developer experience.

Software Developer

Built backend features for a business intelligence application focused on data analysis and machine learning. Worked with Flask, MongoDB, pandas, NumPy, and scikit-learn.