About Me

I’m a Data Engineer with hands-on experience building scalable data pipelines and automation workflows in production environments.

Professional Experience

Data Engineer / Data Analyst — Whimstay

Jul 2024 – Nov 2025
  • Built an asynchronous scraping system with proxy rotation to continuously collect guest reviews from 50K+ properties, updating ~20% of our production database.
  • Built scalable ETL pipelines consolidating data from 70+ booking websites, enabling the product team to make faster, data-driven pricing decisions.
  • Led a small team in developing automated data ingestion systems on GCP Cloud Run, reducing manual intervention and ensuring data reliability.
  • Implemented automated validation of 300K+ URLs, providing clean and trustworthy data for competitive pricing comparisons displayed to end users.
  • Developed data cleaning workflows processing ~29K U.S. geographic polygons, enhancing location accuracy and supporting better market segmentation.
  • Optimized SQL queries in BigQuery, reducing dashboard load times by ~30% and empowering stakeholders to gain actionable insights with minimal latency.
  • Integrated and reconciled data from MongoDB and PostgreSQL production databases, ensuring consistent, high-quality datasets for cross-team analytics.

Side Projects

  • Crypto Data ELT Pipeline

    Designed and implemented an ELT pipeline to collect, transform, and load cryptocurrency market data from multiple APIs into BigQuery for analysis and visualization.

    View on GitHub

  • Excel Report Automation with Python

    Built Python-based automation scripts to generate and maintain Excel reports, reducing manual effort and improving reliability.

    View on GitHub

  • What I Work With

    • Python (Pandas, NumPy, Matplotlib, GeoPandas)
    • SQL & Data Modeling
    • BigQuery, PostgreSQL, MongoDB
    • GCP (Cloud Run, Cloud Storage, Cloud Scheduler)
    • Docker, Linux, Git
    • Power BI & Analytics
    • ETL / ELT Pipelines & Automation

    What I’m Looking For

    I’m seeking Data Engineer roles where I can build reliable, scalable data pipelines, work with cloud-native architectures, and collaborate closely with analytics, product, and engineering teams.

    LinkedIn GitHub Email