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JQ
Jolie Qiu
Mid-Level Software Engineer specializing in AWS data infrastructure and pipeline automation
Software Engineer5 years experienceMid-LevelTechnologyDigital AdvertisingE-commerce
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About
AWS-focused software engineer who built a self-serve ETL pipeline scheduling service for non-engineers, including automated CloudFormation-based onboarding that cut setup time from 2–3 weeks to ~5 minutes. Strong in production reliability and customer-facing data platforms (EMR/DynamoDB/Lambda), with examples spanning pagination at scale, cross-table consistency, and phased rollouts to improve Parquet log SLAs.
Experience
Software EngineerAmazon
Software Engineering InternAmazon
Undergraduate Teaching Assistant, Introduction to Software EngineeringUniversity of Southern California
Education
University of Southern Californiabachelor, Computer Science (2021)
Key Strengths
- Built self-serve ETL pipeline scheduling product enabling non-engineers to create jobs in ~5 minutes
- Designed user-facing error surfacing via Lambda + API to reduce support burden
- Handled AWS API record limits by implementing full pagination and aggregation in Lambda
- Systematic debugging across UI/service/data layer; identified missing account ID causing EMR clusters not to display
- Reliability-focused data deletion across dual DynamoDB tables with targeted sync/remediation for partial failures
- Customer-driven SLA improvement by switching inputs to minutely logs; executed phased rollout with data-loss checks
- Automated AWS resource provisioning via CloudFormation onboarding, reducing setup time from 2–3 weeks to ~5 minutes
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