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Manisha Miriyala
Mid-level Full-Stack Software Engineer specializing in Java/Spring, React, and AWS
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Backend/data engineer with production experience across event-driven Python ingestion services on AWS (EventBridge/SQS/MongoDB), serverless APIs (Lambda/API Gateway), and analytics ETL (Glue → Redshift). Has modernized legacy reporting into Node.js/React systems and demonstrated measurable SQL performance wins (minutes to seconds) plus strong incident ownership with validation, DLQs, and alerting.
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Key Strengths
- Designed and operated event-driven ingestion pipeline (EventBridge → SQS → Python worker → MongoDB)
- Production reliability engineering: idempotent processing, retries, timeouts, DLQ handling
- Secure auth patterns using JWT for APIs and IAM roles for AWS access
- Built serverless web/API stack (API Gateway + Lambda) with S3/CloudFront hosting
- ETL delivery with AWS Glue (crawlers + jobs) from S3 to Redshift with incremental loads
- Data quality and schema-change handling using Pydantic validation and Great Expectations
- Modernized legacy/manual reporting into Node.js APIs and React dashboards with parallel-run migration and stakeholder sign-off
- Redshift performance tuning: partition filtering/incremental logic and join optimization; reduced query runtime from minutes to seconds
- Owned batch/pipeline incident response: alert-driven detection, log/metric triage, partition-level reruns, and preventive validation/alerting improvements
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