wiwek13

Designed and provisioned scalable cloud infrastructure using EC2, ElasticSearch, MongoDB with autoscaling, and core AWS services including RDS, S3, and CloudFront—boosting uptime and responsiveness across critical production workloads. Owned Kubernetes manifest authoring and cluster operations, deploying microservices with optimized resource limits, readiness/liveness probes, and autoscaling strategies—resulting in 20% better resource utilization and reduced pod evictions. Built and maintained Dockerized application stacks, enforcing image hygiene and minimizing attack surface via multi-stage builds and base image validation across development and production environments. Automated delivery workflows with Jenkins, GitHub Actions, AWS CodePipeline, and Argo CD, achieving consistent, rollback-safe deployments and reducing overall deployment time by 40%. Developed internal Slack-based release tools in Node.js for cross-functional coordination, integrating CI metadata, approval flows, and on-demand rollout controls. Monitored and tuned system health using Prometheus and Grafana, implementing SLO dashboards and alert rules that improved incident detection and reduced mean time to recovery (MTTR) by 25%. Led production support for critical systems, triaging outages, coordinating hotfixes, and establishing runbooks to strengthen operational resilience.

Provisioned and automated infrastructure from scratch using Terraform and Atlantis for PR-based workflows; optimized Docker images to improve performance, reduce size, and accelerate deployments. Built logging and alerting using ELK stack with Elastalert, Heartbeat, and Status Page, cutting downtime by 25%. Engineered and refined Azure Pipelines, slashing deployment time by 50% and boosting development velocity. Managed Databricks ETL workflows, cluster provisioning, and alerting with Azure Data Factory and ML Workspaces for seamless data operations. Deployed and configured AKS clusters with complete network and DNS integration in Azure, ensuring high availability and consistent application delivery at scale. Led production releases, collaborating with cross-functional teams to ensure seamless deployment cycles with minimal disruption and rapid incident resolution.

Managed and optimized AWS infrastructure using services such as Lambda, RDS, EKS, DMS, EC2, CloudFront, Route 53, and more; implemented IaC using Terraform with Atlantis and Terraform Drift, extended to Snowflake infrastructure, and built disaster recovery and backup strategies for high availability. Designed and enhanced CI/CD pipelines on CircleCI and GitHub Actions, leveraging caching, parallel jobs, and smart branching strategies to reduce runtime by 30%; contributed to unit and integration test coverage, and API development in Django and Airflow Pipelines. Built and maintained Airflow infrastructure with custom Docker images and Kubernetes cluster setup; developed and optimized DAGs, implemented DMS task auto-scaling, cutting costs by 40%; managed Snowflake ingestion workflows and warehouse optimization, achieving 35–40% cost reduction. Implemented robust monitoring and alerting stack using Prometheus, Grafana, PagerDuty, and Slack-based policies, ensuring timely incident response and improved operational resilience.