Rahul Bihariya
Seattle,WA
Summary
Data Engineer with extensive experience in AWS services, and a strong history of success at Amazon (AWS and Prime Video). Developed innovative data solutions that significantly improved lead generation and contributed to substantial revenue increases. Skilled in Python and SQL, delivering actionable analytics while promoting cross-team collaboration to enhance business performance.
Overview
10
10
years of professional experience
1
1
Certification
Work History
Business Intelligence Engineer
Amazon (Prime Video)
Seattle, USA
02.2025 - Current
- Owned the XBR reporting for the Channels and TVOD business unit in Prime Video.
- Developed automated reporting systems for key finance metrics, reducing manual reporting time by 70%.
- Maintained and optimized data pipelines handling petabytes of prime video playback, clickstream, and subscription data weekly and monthly.
- Created executive dashboards for regular, in-depth analysis of Prime Video channels and TVOD business performance metrics, improving decision-making speed by 37%.
Data Engineer
Amazon Web Services (AWS)
Seattle, USA / London, UK
04.2019 - 02.2025
- Led end-to-end development of data solutions, driving sales effectiveness and revenue growth.
- Architected and created the backend data source for a predictive analytics solution that increased lead generation by 28% through intelligent AWS service recommendations.
- Involved in the development of the Sales AI data platform, contributing to a 24% monthly ARR growth.
- Engineered self-service reporting platform on AWS Redshift, improving stakeholders' productivity by 52%.
- Optimized data warehouse performance through advanced query tuning, reducing average query execution time by 32%.
- Implemented an automated data quality framework, reducing errors by 25% and ensuring data reliability.
- Designed executive-level Tableau dashboards, driving a $43K increase in monthly average deal size.
Business Intelligence Engineer
SAP Concur
Seattle, USA
06.2015 - 04.2019
- Drove data-driven decision-making through scalable analytics solutions for Sales and Marketing.
- Developed an enterprise-wide visualization platform utilized by over 800 users, featuring 20 daily-use dashboards.
- Initiated Data Science adoption by creating the POC for a predictive pipeline health model, resulting in an increase in sales team productivity.
- Implemented an automated reporting solution, saving 100 minutes per week in report creation time.
- Led customer usage analysis initiative, achieving 33% reduction in churn rate.
- Launched Morning Byte's Tableau report, optimizing opportunity prioritization and improving customer engagement.
Education
Master of Science - Information Management (Business Intelligence)
06-2016
Bachelor of Engineering - Electronics Engineering
05-2010
Skills
- Data engineering and ETL development
- Data modeling and warehousing
- Query optimization techniques
- Cloud technologies expertise
- AWS services: Redshift, Glue, S3, Lambda, QuickSight, DataLake
- Programming and BI tools
- SQL and Python proficiency
- Tableau visualization skills
- Business analytics in Sales and Finance
- Customer insights analysis
Certification
- AWS Certified Data Engineer - Associate
- AWS Certified Data Analytics - Specialty
- AWS Certified Solution Architect - Associate
- Data Science Certification - University of Washington
Timeline
Business Intelligence Engineer - Amazon (Prime Video)
02.2025 - Current
Data Engineer - Amazon Web Services (AWS)
04.2019 - 02.2025
Business Intelligence Engineer - SAP Concur
06.2015 - 04.2019
University of Washington - Master of Science, Information Management (Business Intelligence)
Nagpur University - Bachelor of Engineering, Electronics Engineering
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