Analytics Engineer | SQL • dbt • Databricks • Python • Data Modeling
I'm an Analytics Engineer trainee focused on building reliable, well-structured, and analytics-ready data products using modern data platforms.
I work with SQL, dbt, Databricks, Python, and dimensional modeling, applying concepts such as ELT, data quality, documentation, lineage, testing, and Analytics Engineering best practices.
My main focus is designing analytical data layers that transform raw and transactional data into trustworthy, reusable datasets that support business analysis and decision-making.
Analytics Engineering
Data Analysis
End-to-end Analytics Engineering platform built with dbt, Databricks, and Power BI, transforming transactional sales data into reliable and analytics-ready dimensional data products.
Main activities:
- Layered dbt architecture (Sources, Staging, Intermediate, and Marts)
- Dimensional modeling with fact, dimensions, and bridge models
- Data quality tests and business-rule validations
- dbt contracts, documentation, and lineage
- Financial reconciliation and fanout validation
- Git-based development workflow with feature branches and pull requests
- Power BI dashboard connected to governed dimensional marts
Tech: dbt • Databricks • SQL • Power BI • Git
End-to-end data analysis project focused on transforming raw data into analytical insights and data-driven solutions.
Main activities:
- Exploratory Data Analysis (EDA)
- Data cleaning and standardization
- SQL business analysis
- Customer and sales analysis
- Product profitability analysis
- Demand forecasting
- Product recommendation system
Tech: SQL • Python • Pandas
- ✅ Databricks Certified Data Analyst Associate
- ✅ dbt Fundamentals
- ✅ Databricks Fundamentals
