🗼 Tokyo based Data & ETL Engineer focussed on Ad-tech.

Developer of in-house tools using Python & BigQuery to create marketing data pipelines from scratch.

Automating data ingestion workflows using Airflow.

Over the years, I've worked on various projects across different domains, focusing on creating elegant solutions to complex problems.

If you have an exciting project or opportunity that aligns with my expertise, feel free to reach out through email or any of my social channels.

Projects

A showcase of my development projects and technical explorations

Automated Ad Creative Upload System

Automated Ad Creative Upload System

Created an internal JupyterHub workflow to automate video uploads for ad campaigns using Meta and TikTok APIs. Integrated real-time Slack status notifications, reducing campaign setup time from 3 days to under 1 hour and tripling weekly launch volume.

PythonPythonMetaMeta APITikTokTikTok APISlack Streamline Icon: https://streamlinehq.comSlack SDKDropboxDropbox SDKGoogle SheetsGoogle Sheets APIAutomation
Ski Resort Lift Status iOS App

Ski Resort Lift Status iOS App

Independently developed an iOS app in SwiftUI to display real-time ski lift status. Implemented state management, responsive UI design, and ongoing stability improvements in preparation for App Store release.

SwiftSwiftUIiOSiOSPersonal Project
Clinic Website (Next.js App Router)

Clinic Website (Next.js App Router)

Designed and developed an official website for a real Japanese medical clinic using Next.js (App Router). Focused on responsive design, SEO-friendly structure, and UI/UX suited for medical institutions. Ongoing paid engagement.

Next.jsNext.jsReactReactSEOWeb Development
Scalable Marketing Analytics Data Pipeline

Scalable Marketing Analytics Data Pipeline

Designed and implemented a production-grade data platform handling end-to-end ingestion, orchestration, and analytics for multi-channel marketing data. Integrated multiple external APIs and scraping jobs into a unified schema, orchestrated via Airflow with retries, backfills, SLA monitoring, and Slack alerts. Deployed on GCP using GCS and BigQuery, eliminating ~25 hours of manual processing per week and scaling analytics coverage across multiple platforms.

PythonPythonGoogle BigQueryBigQueryApache AirflowAirflowGoogle CloudGCPETLData EngineeringREST APISlack Streamline Icon: https://streamlinehq.comSlackGoogle Cloud StorageGoogle Cloud StorageAppleApple Developer API
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