I am a data engineer with a Bachelor of Science in Computer Science from the Georgia Institute of Technology and experience building scalable, cloud-based data systems using AWS and Python. I have designed and optimized data pipelines and backend solutions at organizations including Georgia-Pacific, Worthix, and Booz Allen Hamilton, where my work focused on event-driven automation, configuration-based architecture, and high-performance data integration.
My technical background includes strong proficiency in AWS (Glue, Lambda, Step Functions, S3, EventBridge, DynamoDB, and Redshift), Python (pandas, Flask, FastAPI), SQL, and Terraform, along with experience using Docker, Git, and other modern development tools. I am skilled in developing ETL processes, API integrations, and data orchestration frameworks that enable efficient and reliable data flow across complex systems.
Programming Languages: Python- pandas, Flask, FastAPI, Bash, Java, SQL, Perl, C, HTML
Tools: Git, BitBucket, JIRA, Terraform
Amazon Web Services: Glue, Lambda, S3, Step Functions, EventBridge, Athena, EC2, DynamoDB, Redshift, SNS, SQS