Papercup's Orchestrator

Why "Papercup's Orchestrator"? Because when AI voices needed to sing in harmony, I made sure the data kept perfect rhythm. I was the first and only data engineer hire—building the platform, tooling, and the guardrails that let ML, product, and ops move faster without stepping on each other's toes.

Overview

First and only data engineer hire; owned the data platform, governance, and cross-team enablement across product, ML, and operations. I designed and built the end-to-end data framework powering company-wide insights for market strategy, growth evaluation, and operational reporting. I accelerated ML development by delivering reliable pipelines and fit-for-purpose feature stores, improving iteration cadence and deployment confidence. I scaled an AI-driven dubbing platform by establishing robust data foundations, clear data contracts, and CI/CD for data workflows.

Key Achievements

• Designed and operated the end-to-end data platform used for executive reporting, growth evaluation, and operational decision-making.
• Delivered stable, observable batch and streaming pipelines that unblocked ML experimentation and sped up feature rollout.
• Introduced clear data contracts and versioned models, reducing breaking changes across teams.
• Implemented CI/CD for data workflows to raise reliability and deployment confidence.

Technologies Used

Airflow, BigQuery, Airbyte, DBT, and a host of third‑party APIs powering ingestion, transformation, orchestration, and feature delivery.