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Shashank Venkataramana
Mid-level Software Engineer specializing in AWS cloud infrastructure and data platforms
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About
Backend/infra-focused software engineer who built an autonomous Python API-orchestration agent using asyncio with strong reliability and observability (trace IDs, structured logs, retries/timeouts) and containerized dev workflow. Experienced deploying Python services to Kubernetes with Helm and running GitOps CI/CD via ArgoCD, plus leading an AWS IAM-to-Identity Center migration using CloudTrail-driven least-privilege role design. Also built and debugged a Kafka/SnapLogic bidirectional pipeline syncing Redshift and HBase, resolving missing-record issues via Kibana-driven investigation.
Experience
Education
Key Strengths
- Designed and implemented asyncio-based execution model for I/O-heavy workflows (timeouts/cancellation/concurrency)
- Built reliability layer with retries, timeouts, structured logs, and trace IDs to improve debuggability and run reliability
- Deployed Python services to Kubernetes with Helm (health checks, autoscaling, rolling updates)
- Implemented GitOps CI/CD with ArgoCD to reduce drift and manual deployment effort
- Stabilized CI pipeline by containerizing test setup and aligning local vs CI environments; added retries for external dependencies
- Led AWS access provisioning migration from IAM users to AWS Identity Center with phased rollout and parallel run
- Used CloudTrail analysis to consolidate overlapping permissions into least-privilege roles
- Debugged Kafka/SnapLogic streaming pipeline data loss using Kibana; fixed filtering logic to restore record handling
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