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Jolie Qiu
Mid-Level Software Engineer specializing in AWS data infrastructure and pipeline automation
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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.
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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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