Bryan Fletcher
Sr. Business Intelligence Engineer @ Amazon | Enterprise Analytics Solutions, Data Engineering, ETL Pipelines
- Role
- Sr Business Intelligence Engineer at Amazon
- Location
- Phoenix, AZ, US
- LinkedIn followers
- 500 followers
About Bryan Fletcher
As a Sr. Business Intelligence Engineer at Amazon, I have 6+ years of experience building and maintaining enterprise-level data and analytics platforms. Specialized in business analytics, data engineering, and administration of Petabyte-scale data warehouse environments supporting global operations.Technical Focus:• Data Architecture: Distributed data warehouse design, cross-cluster sharing, and security frameworks• Cloud Infrastructure: AWS expertise including Redshift, serverless architectures (Lambda, SNS, SQS), and S3 data lakes• Data Engineering: Python development, PostgreSQL, ETL/ELT pipeline design, real-time processing, and SparkSQL transformations• Analytics Platforms: Enterprise BI solutions including QuickSight and Tableau administrationCore Strengths:• Scaling database environments for global analytics teams• Data governance and security• Serverless architecture design• Query, infrastructure, and cost optimization• Data visualization and analytics using Tableau and QuickSight• Technical platform migrationsProgressive experience from operations specialist to senior technical leadership, delivering high-performance solutions while balancing security and business requirements. Strong track record of cross-functional collaboration driving data-driven decisions at enterprise scale.
Experience
Sr Business Intelligence Engineer
Apr 2021 — Present · AZ, US
Architected and implemented QuickSight platform with secure OAuth authentication- Led complex migrations of Petabyte-scale database infrastructure, implementing enhanced security protocols and managing data access for hundreds of tables and users across multiple organizations- Developed large-scale ETL pipelines using SparkSQL and AWS services, optimizing data processing from company data lake to Redshift clusters- Designed automated Python workflows for database performance management, utilizing internal APIs to proactively identify and manage query efficiency, saving significant manual effort and ensuring optimal system performance- Created cross-cluster data sharing architecture with strict security measures, enabling efficient analytics while eliminating redundant storage- Implemented cross-team data access solutions using AWS Lake Formation, facilitating instant and secure access to diverse data catalogs- Led strategic database infrastructure optimizations, balancing performance, capacity, and cost efficiency for a rapidly growing global organization- Engineered automated data pipelines for critical business forecasting incorporating data quality checks and stakeholder communication, showcasing end-to-end data solution design capabilities
Education
Chandler/Gilbert Community College
Associate's degree, Business - General Requirements
2008 — 2013
Arizona State University
Bachelor of Science (BS), Computer Information Systems
Skills
- Customer Service
- Visual C#
- Computer Repair
- Business Writing
- Hardware Installation
- Powershell
- Linux
- Database Design
- Javascript
- Meteor
- Css
- Highly Detail Oriented
- Network Design
- Technical Support
- Troubleshooting
- Responsive Web Design
- Data Analytics
- Desktop Application Development
- Microsoft Operating Systems
- Microsoft Excel
- Object Oriented Design
- Html
- Interpersonal Communication Abilities
- Networking
- Angularjs
- Computer Hardware
- Php
- Access
- Cascading Style Sheets (Css)
- Time Management
- Javascript Libraries
- Database Development
- Musicians
- Computer Information Systems
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