
Dynamic Data Engineer with over three years of experience in Google Cloud Platform. Skilled in implementing cloud architecture solutions and automating ETL processes, while collaborating effectively with cross-functional teams to drive marketing analytics success and ensure data integrity.
Experience and Accomplishments of Key Projects
Data Engineer - Retails Marketing (Macys)
Client: Macys
Technology: SQL,GCP,Python
· Designed and maintained data pipelines using GCP services such as BigQuery, Cloud Storage, and Cloud Composer.
· Built optimized SQL queries for customer segmentation, sales trends, and marketing insights.
· Automated ETL processes using Python, improving data refresh time for marketing analytics.
· Collaborated with analytics and marketing teams to deliver accurate campaign performance reporting.
· Implemented data quality checks and validation between staging and production BigQuery datasets.