Experienced AWS data engineer with demonstrated expertise in designing and implementing data pipelines and analytics solutions that deliver measurable business value. Skilled in building and managing enterprise data warehouses, data marts, and dashboards to centralize data management and ensure quality, accuracy, and integrity. Adept at collaborating with business users to define data and reporting requirements.
01/2018 - present, AWS Data Engineer, Pandora, Seattle, WA
- Design, develop, and deploy pipelines and workflows using AWS, Glue, Redshift, and other technologies to improve data accuracy and availability.
- Analyze data storage and processing requirements to present recommendations for optimizing data architecture.
- Create custom analytics and reports using AWS tools such as CloudWatch, enabling data-driven decision-making and process optimization
- Maintain up-to-date knowledge of AWS services and best practices, including participating in training and professional organizations.
08/2016 - 12/2017, Data Analyst, Kaiser Permanente, Seattle, WA
- Mined business and financial data from data warehouse and databases.
- Generated routine and ad-hoc reports for managers and business users.
- Ensured data quality and integrity, prepared data loads, and verified execution of ETL processes.
09/2012 - 06/2016, Bachelor of Engineering, University of Washington, Seattle, WA
- AWS
- Kubernetes
- SQL
- Python
- Data Warehousing
- Data Mining
- Data Pipelines
- Data Architecture
- Big Data
- Reporting Dashboards
- Cross-functional Collaboration
- Requirements Gathering
- 03/2017, AWS Certified Data Analytics Specialist, Amazon
- 03/2015, AWS Certified Solutions Architect, Amazon
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