I'm building my skills in modern data engineering β designing data warehouses, working with cloud lakehouse platforms, and writing SQL that scales. I enjoy taking messy, real-world data and turning it into something clean, structured, and useful for analytics.
Languages & Tools
Core Competencies
- Data Architecture & Engineering β Data Architecture, Data Engineering, ETL Pipeline Development, Data Modeling
- SQL Development β Window Functions, Common Table Expressions (CTEs), Percentile Functions
- Analytics β Data Analytics, PostgreSQL Analytics, Customer Segmentation, Cohort Analysis, Retention Analysis, Business KPI Analysis
- Reporting & Visualization β Data Visualization, Analytical Storytelling, Business-Oriented Reporting
Data Warehouse and Analytics Project End-to-end SQL Data Warehouse following the Medallion Architecture (Bronze, Silver, Gold) β a hands-on portfolio project to strengthen data engineering skills.
Support Ticketing System β Databricks Lakebase App A full-featured support ticketing system built with Flask and backed by Databricks Lakebase (managed Postgres).
E-Commerce Sales Analysis Analysis of customer behavior, retention, and lifetime value for an e-commerce company to improve retention and maximize revenue.
Intermediate data engineering concepts and the Databricks platform β deepening my knowledge of lakehouse architecture, pipeline orchestration, and scalable data workflows.