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Dharanidharan Loganathan
Senior Python Developer specializing in data engineering, MLOps, and cloud platforms
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About
Backend/data engineer with production experience building secure Django/DRF APIs (JWT RS256 + rotating refresh tokens), background processing with Celery, and strong reliability practices (timeouts, retries/backoff, structured logging, audit trails). Has delivered AWS solutions spanning Lambda + ECS with IaC/CI-CD and built Glue/PySpark ETL pipelines with schema evolution and data-quality quarantine patterns; also modernized a legacy SAS pipeline to Python/PySpark with parallel-run parity validation and phased rollout.
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Key Strengths
- Designed secure Django/DRF APIs with thin views + service layer for testability
- Implemented short-lived RS256 JWT auth with rotating refresh tokens and permission mapping
- Built reliable integrations with explicit timeouts, retries/backoff, and idempotent background processing (Celery)
- Delivered AWS serverless + container solutions (Lambda + ECS) with IaC (CloudFormation/Terraform) and CI/CD
- Managed secrets/config securely using Secrets Manager and IAM roles
- Built AWS Glue PySpark ETL with raw/processed S3 layers, schema controls, and quarantine of invalid records with reason codes
- Modernized legacy SAS pipelines to Python/PySpark using parallel runs and stakeholder sign-off dashboards
- Improved SQL performance by eliminating full table scans and fixing indexes/late filtering (10–15 min to <3 min)
- Owned pipeline incident response using CloudWatch alerts/logs; added early schema/size validation to prevent recurrence
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