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Sayajirao Danke

Open to work2 years experience

AWS DevOps Engineer

Miraj, IndiaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

AWS DevOps Engineer specializing in cloud infrastructure, automation, and CI/CD.

GitHub

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Skills & Technologies

32 skills
windowslinuxawsterraformcloudformationgitgitlab ci/cdgithub actionscirclecidockerkubernetesaws ecs/fargateaws eksamazon cloudwatchcloudwatch syntheticsprometheusgrafanaelasticsearchfilebeatpythonbashtcp/ipdnsvpnssl/tlssonarqubeiamaws wafsecrets manageramazon sagemakeramazon bedrockamazon textract

Work Experience

DevOps Engineer

CloudShastra Infotech Solutions

Mar 2024 - Present Miraj, India
  • Manage AWS infrastructure across 5+ production environments, achieving 99.9% uptime and reducing incident response time by 60% through automated monitoring and alerting systems.
  • Designed and led internship program for 10+ interns, creating structured 12-week curriculum with hands-on AWS projects, resulting in 90% intern-to-full-time conversion rate.
  • Reduced overall cloud spending by 40% across 5 client accounts through rightsizing, Reserved Instances, and automated resource scheduling, saving $50K+ annually .
  • Developed 5+ automation scripts (Python/Bash) eliminating 15 hours/week of manual tasks and reducing deployment errors by 85%.

Projects

AI-Powered Lead Generation Platform (GenAI)

AWSECSLambdaSageMakerBedrockGitLab CI/CDNGINXALBCloudWatchDocumentDBS3TextractDynamoDBTerraformDockerQdrantAWS EKSKubernetesSonarQubePrometheusGrafanaFilebeatElasticsearch
  • Architected scalable AWS infrastructure supporting 1K+ concurrent users with ECS (20+ containers), Lambda (3+ functions), and SageMaker/Bedrock for ML workflows across 3 environments (dev/staging/prod).
  • Achieved 80% cost reduction ($77K to $20K/month) through EC2/ECS rightsizing (30% savings), Spot Instances for non-critical workloads (40% savings), Deleted Unused and ideal resources and Lambda optimization (10% savings).
  • Built GitLab CI/CD pipelines with automated testing and security scanning, achieving 30+ deployments/week(previously 5/week) with zero production incidents.
  • Configured NGINX for 600+ requests/second with 99.95% uptime, ALB with path-based routing to target groups, and CloudWatch monitoring tracking 10+ custom metrics.
  • Integrated DocumentDB (10GB), S3 (5GB with lifecycle policies), Textract (processing 100+ documents/day), and DynamoDB (100+ reads/day) with 40ms average latency .
  • Established cost governance framework with automated anomaly detection, reducing monthly cost overruns by 95% and providing weekly reports to all stakeholders.
  • Implemented comprehensive Terraform IaC managing 10+ AWS resources with modular design, reducing infrastructure provisioning time from 2 days to 2 hours (92% faster).
  • Optimized Docker images reducing size by 60% (from 2GB to 800MB), cutting deployment time by 50% and ECR storage costs by $500/month.
  • Deployed and managedQdrant vector database on AWS EKSfor GenAI workloads,using native Kubernetes manifests without Helm.
  • Built and operated AWS EKS clusters, configuring Kubernetes resources such asDeployments, Services, PersistentVolumes (PV), PersistentVolumeClaims (PVC), ConfigMaps, and Secrets for stateful applications.
  • Implemented EBS-backed persistent storage ensuring durability and high availability for vector embeddings and search indexes.
  • ConfiguredIAM Roles for Service Accounts (IRSA), EKS networking, and security groups to enable secure pod-to-AWS service communication.
  • Performed rolling updates, health checks, and manual scaling of Kubernetes workloads, improving operational stability .
  • Integrated EKS workloads with CloudWatch logs and metrics to enhance observability and speed up incident troubleshooting.
  • Implemented AWS CloudWatch Synthetics Canaries to continuously monitor critical APIs and user journeys across development, staging, and production environments, enabling proactive issue detection and improving application availability for multiple projects.
  • Imported manually provisioned AWS resources into Terraform state using Terraform’s latest import workflow, bringing existing infrastructure under Infrastructure as Code across multiple environments and projects while minimizing configuration drift.
  • Integrated SonarQube into GitLab CI/CD pipelines to automate code quality analysis and enforce quality gates before deployments, helping maintain consistent code standards across development teams.
  • Configured Prometheus and Grafana for monitoring Kubernetes workloads, building dashboards and alerts to provide real-time visibility into cluster health, application performance, and infrastructure metrics.
  • Configured Filebeat to collect container and application logs and forward them to Elasticsearch, enabling centralized log management and faster troubleshooting across production environments.

Enterprise Fin-tech Web Application

AWSECSRDSCloudFrontAWS CodePipelineAWS WAFVPC Flow LogsCloudWatchSNSTerraform
  • Designed multi-AZ AWS infrastructure supporting 100+ daily active users with 99.9% uptime, utilizing ECS (10services), RDS (20GB), and CloudFront CDN serving 100-200+ requests/day .
  • Deployed containerized microservices on ECS EC2 (20 instances) with auto-scaling (2-50 instances), handling 3x traffic spikes while maintaining sub-200ms response times.
  • Implemented AWS CodePipeline CI/CD reducing deployment time from 2 hours to 15 minutes (87.5% faster) with automated rollback, achieving 15+ successful deployments/month.
  • Configured AWS WAF blocking 1K+ malicious requests/month, implemented security groups with least privilege (50+ rules), and established VPC Flow Logs analyzing 1TB+ traffic data/month.
  • Set up CloudWatch monitoring with 10+ alarms and SNS notifications, reducing mean time to detection (MTTD) from 30 minutes to 2 minutes (93% faster).
  • Developed 12 reusable Terraform modules reducing infrastructure setup time by 70% (from 10 hours to 3 hours) and enabling consistent deployments across 4 environments and region as well.
  • Implemented CloudFront CDN reducing page load time by 50% (from 4s to 2s) and cutting data transfer costs by $400/month through edge caching.

Multi-Cloud Modernization

AWSGitLabGitHub ActionsCircleCIRDSEC2BitbucketGitHubLet’s EncryptUbuntu
  • Led cloud migration of 8 applications from ARUBA to AWS with zero data loss, completing migration 2 weeks ahead of schedule and achieving 99.99% uptime post-migration.
  • Achieved 35% cost reduction ($60K to $39K/month) through Reserved Instances (20% savings) and Savings Plans(15% savings), generating $252K annual savings.
  • Automated CI/CD across GitLab, GitHub Actions, and Circle ci, deploying 50+ pipelines serving 6+ developers and reducing build time by 65% (from 20 to 7 minutes).
  • Configured automated RDS backups (7-day retention) and EC2 snapshots, reducing backup administration time by 90% (from 10 hours/week to 1 hour/week).
  • Migrated 10+ Bitbucket repositories to GitHub (2GB code, around 600+ commits) with 100% history preservation, completing in 3 days with zero downtime.
  • Automated SSL certificate management for 10+ domains using Let’s Encrypt, preventing 12+ potential outages and saving 20 hours/month of manual work.
  • Deployed GlobalLeaks application on 2 Ubuntu servers with full encryption, supporting 100+ secure submissions while maintaining 100% data confidentiality .

Infrastructure Standardization

TerraformVPCEC2ECSRDSALBS3ClamAVMySQLphpMyAdminCloudWatch
  • Developed library of 15 production-ready Terraform modules covering VPC, EC2, ECS, RDS, and ALB, enabling 5+ teams to provision infrastructure 60% faster with 95% fewer errors.
  • Implemented automated S3 malware scanning with ClamAV processing 50+ files/month, detecting and quarantining 15+ threats while maintaining 99.9% scanning accuracy .
  • Created instance scheduling automation reducing non-production costs by 40% ($15K to $9K/month) by shutting down 24+ resources during off-hours (16 hours/day , weekends).
  • Executed MySQL 5.7 to 8.0 upgrade across 5 RDS instances (total 19GB data) using dump, completing with zero downtime and 20% query performance improvement.
  • Configured phpMyAdmin for 10 RDS databases with SSL and IP whitelisting, enabling secure management for 15+ developers while preventing 100% unauthorized access attempts.
  • Implemented 10+ custom CloudWatch metrics and alarms monitoring business KPIs, reducing incident detection time by 80% (from 15 minutes to 3 minutes) and false positives by 60%.

Leaderboard Standings

Leaderboard Position Pending

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Assessment Highlights

Assessments Not Completed

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AI Collaboration Score

AI Collaboration Score Pending

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Role Compatibility Profile

Role Compatibility Analysis Pending

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Achievements

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About Details

Professional Bio

AWS DevOps Engineer with strong hands-on experience designing, automating, and operating production-grade cloud infrastructure using Terraform, AWS ECS, EKS, Lambda, and CI/CD pipelines. Experienced in Python-based automation, container orchestration, and observability.

Bachelor of Engineering

AISSMS Institute of Information Technology, Pune (2019 - 2022)

Languages: English, Hindi
Sayajirao Danke - Profile | Swiftcruit