I'm an analytics engineer and developer with a passion for turning complex datasets into clear, actionable insights. With experience spanning data engineering, business analysis, and full-stack development, I bridge the gap between raw data and business decisions.
My journey started with data analysis and evolved into building complete data pipelines — from ingestion to visualization. I enjoy every layer of the stack, from writing SQL queries to deploying applications on AWS.
When I'm not working with data, I'm continuously learning — whether through online courses, building side projects, or exploring new tools in the data ecosystem.
Built and maintained ETL/ELT pipelines, optimized SQL Server & Oracle databases, and orchestrated workflows with Airflow. Processed large-scale datasets using PySpark and delivered clean data to support business reporting. Tools: SSMS, PL/SQL, Tableau, Metabase, Python, Airflow.
Automated business processes, built Domo dashboards, and applied data analytics for quality assurance and predictive maintenance. Tools: Snowflake, NiFi, Python, SQL, PySpark.
Graduated with a focus on Computer Science.