I’m a data professional with experience across Data Engineering, Analytics Engineering, and Applied Data Science, building scalable pipelines, automation tools, and predictive models that power decision-making at scale.
- 🔧 Data Engineering: ETL pipelines, AWS Glue, Athena, performance optimization
- 📊 Analytics Engineering: metric design, data modeling, dashboard enablement
- 🤖 Applied ML: segmentation, CLV modeling, risk scoring, forecasting
- ☁️ Stack: Python, SQL, AWS, R, Tableau, QuickSight
- 📍 Boston, MA
- 🔗 LinkedIn: https://www.linkedin.com/in/katieha
- 💻 GitHub: https://github.com/kat-th
- Designing and implementing scalable ETL workflows (batch + scheduled jobs)
- Query optimization (partitioning, pre-aggregations, materialized views)
- Building curated tables and canonical metrics to reduce reporting latency and cost
- Building self-service tools that remove manual steps and accelerate analytics workflows
- Turning one-off analyses into repeatable, production-grade systems
- Developing predictive models (CLV, segmentation, risk scoring, forecasting)
- Translating model outputs into operational dashboards and decision-ready metrics
- Learning and building full-stack applications that solve real-world problems
- Comfortable with JavaScript and TypeScript, with experience building end-to-end applications
If you’re hiring for Data Engineer / Analytics Engineer roles or want to collaborate:
- LinkedIn: https://www.linkedin.com/in/katieha
- Email: [email protected]