Data Engineer • Analytics Engineer • Data & BI
Quote: Build data work that people can trust, use, and scale.
I build analytics-ready data products that make reporting more reliable, modeling more maintainable, and decision-making faster.
My work sits across the analytics engineering stack: ingestion, transformation, modeling, testing, and BI delivery. I enjoy designing structured data layers, building dbt workflows, and translating messy operational data into clean, trusted datasets for reporting and product use cases.
I’m currently focused on strengthening my footprint in analytics engineering through production-minded projects, open-source contribution, and practical work across modern data tooling.
Languages
SQL, Python
Analytics Engineering & Data Modeling
dbt, star schema design, incremental models, snapshots, testing, ELT
Warehousing & Databases
Snowflake, PostgreSQL
Orchestration & Infrastructure
Airflow, Terraform, AWS (S3, RDS)
BI & Reporting
Power BI, Tableau
Workflow & Dev Tools
Git, GitHub Actions, Linux CLI, VS Code
Focus: documentation improvement, product integration workflow
Contributed to documentation-related improvement work around the Instatus integration.
References:
Upstream issue
Contribution branch
Stack: dbt, Snowflake, marketing analytics modeling
A collaborative marketing analytics project that transforms campaign and subscriber data into a star-schema-friendly structure for reporting.
- Modeled marketing data into analytics-ready tables
- Worked across transformation logic and reporting structure
- Focused on maintainable organization for downstream analysis
Repository:
Marketing_analytics
Stack: Snowflake, dbt, Power BI
An end-to-end analytics engineering project built around staged transformations and reporting-ready marts.
- Structured raw data into layered dbt models
- Applied testing and transformation patterns for cleaner downstream use
- Built a BI layer to support business-facing analysis
Repository:
Analytics_DBT
- Building stronger analytics engineering case studies
- Deepening production-grade dbt and warehouse design practice
- Contributing to open-source data and developer tooling
- Sharpening data product thinking across BI and engineering workflows