Presentation
I specialize in analyzing, cleaning, validating, and transforming data using SQL and Python. I have hands-on experience with Pandas, NumPy, PostgreSQL, MySQL, REST APIs, and ETL workflows.
My experience includes writing SQL queries for data validation and analysis, performing source-to-target validation, identifying data inconsistencies, validating API responses, and working with backend data processes.
I also have experience with data engineering tools and workflows including Apache Airflow, PySpark, dbt, and Docker, which helps me understand data pipelines from extraction through transformation and loading.
I’m detail-oriented and focused on delivering accurate, reliable, and well-structured data solutions. I’m available for freelance projects involving SQL analysis, Python data processing, data cleaning, data validation, ETL support, and database-related tasks.

