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Manisha Miriyala
Mid-level Full-Stack Software Engineer specializing in Java/Spring, React, and AWS
USASoftware Engineer3 years experienceMid-LevelTechnologySaaSHealthcare IT
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About
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.
Experience
Software EngineerProfile DM
Software EngineerNeuroLeap
Software Engineering AnalystCognizant
Software Engineering InternSwecha
Education
San Jose State Universitymaster, Software Engineering (2024)
KL Universitybachelor, Computer Engineering (2021)
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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