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Pipeline Reliability & Pricing Simulation for Cross-Border E-commerce

Partnered with Data Engineering to keep supply-chain data pipelines reliable, then built a pricing simulation tool that informed executive sell-in pricing decisions.

Data Analyst, Operations & Supply Chain — Yes4All~1 year
AirflowSQLPower BI

The Challenge

A cross-border e-commerce operation spanning US, EU, and JP marketplaces needed dependable inventory and ETA visibility across FBA, FBM, and Dropshipping models — plus a way for executives to evaluate pricing scenarios before committing.

The Solution

  • Partnered with the Data Engineering team to extract raw data with Python/SQL and maintain pipeline reliability with Apache Airflow.
  • Performed hands-on database administration — schema changes and access control — beyond standard query access.
  • Built and optimized real-time Power BI, Looker Studio, and Superset dashboards tracking inventory, incoming goods, and ETA.
  • Built Telegram and Google Chat bots for automated reports and metric alerts, and contributed a simulation tool to the strategic Sell-in Pricing project.

The Result

  • Kept supply-chain data available and current for the whole team, reducing manual data-pull requests.
  • Gave executives a simulation tool to evaluate sell-in pricing decisions before rollout.
  • Automated alerting replaced manual monitoring of core operational metrics.

Stack

Apache AirflowPythonSQLPower BILooker StudioSuperset

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