Event-Driven Workflows: Replacing Manual Operations with Serverless Automation
How we replaced error-prone manual operations with event-driven, serverless workflows using AWS Step Functions and Lambda to improve reliability and productivity.
Senior Backend Engineer with 9+ years building scalable, event-driven systems using Python and AWS. I design production-grade architectures that handle real-world complexity.
Designing resilient backend systems with clear boundaries, fault tolerance, and scalability.
Building async workflows using queues, orchestration, retries, and DLQs.
Serverless and cloud-native designs using Lambda, API Gateway, SQS, SNS, and Step Functions.
SSO (SAML, OIDC), OAuth2, RBAC/PBAC, and secure API design
Production monitoring with Prometheus & Grafana, structured logging, alerting, and MTTR-focused incident response.
PostgreSQL, Redis, Kafka, Celery, and message-driven data pipelines designed for scale and consistency.
How we replaced error-prone manual operations with event-driven, serverless workflows using AWS Step Functions and Lambda to improve reliability and productivity.
A practical guide to building a production-ready observability stack using Prometheus, Grafana, Alertmanager, and Loki to detect incidents early and reduce MTTR.
End-to-end observability platform with metrics, dashboards, alerts, and centralized logging.
Extending AWS IAM to on-prem and CI/CD environments using X.509 certificates.