Mid-level Software Developer specializing in cloud data engineering and MLOps
NYC, New YorkSoftware Developer3 years experienceMid-LevelCloud ComputingArtificial IntelligenceTechnology
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About
Software engineer with strong AWS production experience, including an end-to-end historical backfill system exporting ~10PB of CloudWatch logs into a data lake using Step Functions/Kinesis/Lambda/Firehose/Glue. Emphasizes reliability and operability (DynamoDB checkpointing, monitoring dashboards, CI/CD with canary tests) and has also built customer-facing UI work for the Visa Developer Portal using Angular + Spring Boot, plus React/Redux frontend work.
Experience
Software DeveloperAmazon Web Services
Software EngineerVisa
Machine Learning InternSamsung Research And Development (R&D) Institute
Education
New York University (NYU), Courant Institute of Mathematical Sciencesmaster, Computer Science (Data Science) (2025)
Birla Institute of Technology and Science (BITS), Pilanibachelor, Electrical and Electronics Engineering (2022)
Key Strengths
Built end-to-end AWS ETL/backfill pipeline exporting ~10PB CloudWatch logs to a data lake
Designed restartable, failure-tolerant workflows using DynamoDB checkpointing and parallel Step Functions
Implemented security/permissioning with AWS IAM for production data pipelines
Production observability across AWS services (CloudWatch, Glue dashboards, DynamoDB status/GSI tracking)
Reliability engineering via CI/CD with integration + canary tests
Operated multi-region deployments (18 AWS regions) with bake time and continuous canary health checks
Frontend performance and maintainability focus (reusable components, lazy loading) in Angular/React apps
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