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Sai Amartya Maruth Mandadi
Mid-Level Python Full-Stack Engineer specializing in Financial Services
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Backend/platform engineer who owned an end-to-end financial data ingestion and validation system (Python/Django/FastAPI, Postgres, AWS), including large-file performance tuning, auditability, and CI/CD. Strong Kubernetes/EKS + ArgoCD GitOps practitioner and has delivered both Kafka-based real-time transaction streaming and a legacy on-prem stack migration to AWS (ECS Fargate, RDS, S3, Secrets Manager) with controlled cutovers and data consistency validation.
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Key Strengths
- End-to-end backend architecture ownership (Python/Django/FastAPI microservices)
- Built scalable ingestion/validation pipelines for large multi-GB CSV/JSON with streaming + batching
- Designed flexible data-quality rules engine with outlier/missing/duplicate detection and traceable audit logs
- Performance optimization via offloading heavy workloads to Celery workers
- Production Kubernetes deployments on EKS with autoscaling, ingress, and managed AWS data services integration
- GitOps implementation with ArgoCD to eliminate config drift and enable predictable rollouts/rollbacks
- Built CI/CD pipelines with automated tests and security scans to prevent broken images reaching production
- Led/assisted major on-prem to AWS migration (containerization, parallel environment, data migration validation, DNS cutover)
- Kafka streaming pipeline design with idempotency, retries/DLQ, partitioning for ordering, and lag reduction strategies
- Reliability engineering: multi-AZ replication, monitoring (Prometheus/CloudWatch), stress testing and tuning
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