Dhruv Kumar

About

Backend/data engineer with production experience building Python FastAPI services and AWS-native data pipelines. Has delivered containerized and serverless workloads (ECS/EKS/Lambda) with Terraform-based IaC, strong reliability patterns (JWT/RBAC, retries/circuit breakers, observability), and AWS Glue ETL into S3/Redshift. Demonstrated measurable SQL performance wins (40–50s to <4s) and owned real pipeline incidents through detection, mitigation, and prevention.

Experience

Education

Key Strengths

• Designed and maintained cloud-native Python APIs with layered architecture (API/service/integration layers)
• Production reliability engineering: JWT/OAuth2 auth, RBAC, middleware enforcement, retries/timeouts, circuit-breaker behavior
• Operational excellence: standardized API error responses, deep logging with correlation IDs, monitoring with CloudWatch/Datadog
• AWS deployment experience across Lambda + ECS/EKS with IaC (Terraform/CloudFormation) and per-service modules/state
• Secrets/config management in production using AWS Secrets Manager and SSM Parameter Store
• Built multi-stage AWS Glue ETL pipelines (raw/clean/analytics) integrating S3, RDS, and Redshift
• Schema evolution and failure recovery practices: versioned schemas, backward-compatible changes, alerting, idempotent reruns, checkpointing
• SQL optimization with measurable impact (reduced query runtime ~40–50s to <4s) via indexing and query rewrites/materialization
• Incident ownership for data pipelines: detected via alerts, triaged via logs/metrics, isolated bad partitions, restored last-known-good data, implemented preventative validation