Results-driven Data Engineer with expertise in AWS, SQL, Power BI, Tableau, Palantir Foundry, and Spark. Experienced in building scalable data pipelines, optimizing ETL workflows, and transforming raw data into actionable insights. Background includes roles as a Business/Product Analyst, Software Developer, and Associate Analyst, enabling the design of high-performance, data-driven solutions. Skilled in designing and optimizing data pipelines for seamless data flow, utilizing advanced SQL and Python skills. Proven track record of implementing scalable solutions to enhance data integrity and support informed decision-making.
Python
SQL
Google Dataflow
PostgreSQL
MySQL
Amazon Redshift
MongoDB
Palantir Foundry
AWS
S3
Redshift
GitHub Actions
Tableau
Looker
Power BI
ETL development