Nathan Fritter
High Impact Data Transformations @ Capital One
- Role
- Senior Data Engineer at Capital One
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Nathan Fritter
Data Platform Engineer at Capital One leveraging my background in data engineering and analytics to help internal Capital One teams build streaming and batch data pipelines. Experienced in many different areas of the data lifecycle including data engineering, Python scripting/automation, machine learning, DevOps, containerization and business intelligence. Skilled in Python, SQL, Airflow, AWS, GCP, Bash and Docker.
Experience
Senior Data Engineer
Jun 2024 — Present · San Francisco, CA, US
Currently a Data Platform Engineer supporting Capital One\'s enterprise solution for self service batch transformations and preparing the platform for GA (General Availability). Building out a self service CLI tool (written in Python) to assist users with registering datasets on the central C1 data exchange and generate necessary pipeline deployment files.Formerly a Data platform engineer for Capital One\'s enterprise solution for self service streaming transformations. Platform technologies included AWS Managed Flink, Scala, golang, Docker and Typescript. Specialized in onboarding customers, debugging failing SQL queries and maintaining platform infrastructure via CDK code. Built out team documentation for testing/deploying platform infrastructure.
Education
Dublin High School
High School Diploma (Advanced Scholar)
2008 — 2012
Coursera | Stanford
Machine Learning
2018 — 2018
UC Santa Barbara
Bachelor of Science (B.S.), Applied Statistics
2012 — 2017
Skills
- Microsoft Word
- Big Data
- Amazon Web Services (Aws)
- Public Speaking
- Leadership
- Teamwork
- Management
- Machine Learning
- Account Management
- Music
- Data Analysis
- Data Visualization
- Networking
- Sql
- Microsoft Office
- Sales
- Python
- Social Networking
- Social Media
- Tableau
- Statistics
- Marketing
- Customer Service
- Research
- Periscope Data
- Data Modeling
- Database Development
- Time Management
- Entrepreneurship
- Microsoft Sql Server
- Scala
- Digital Marketing
- R
- Databases
- Quantitative Research
- Social Media Marketing
- Microsoft Excel
- Powerpoint
- Sports
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