DevOps Engineer with Azure & IaC Expertise

Deepak Chowdary Rayankula

DevOps Engineer

New Jersey, USA 551-***-**** ***************@*****.*** LinkedIn SUMMARY

DevOps Engineer with 4+ years of experience automating Azure cloud-native infrastructure using Terraform and Ansible, ensuring scalable & secure provisioning while reducing manual effort and supporting enterprise operations.

Developed CI/CD pipelines using GitLab and Azure DevOps, streamlining multi-environment application deployments, improving release consistency, and accelerating delivery through automated GitOps workflows with AKS.

Containerized and orchestrated microservices with Docker and AKS, integrating Prometheus, Grafana, and Datadog for proactive monitoring, alerting, and performance optimization, achieving high availability and reliability.

Applied serverless automation using Azure Functions and Python, including dynamic monitoring and backup tasks, reducing manual intervention, while improving operational efficiency and reliability.

Administered Azure SQL and Blob Storage, performing database design, migration, tuning, and access management, resolving complex Linux, VNet, and DNS issues, enhancing performance and reducing costs. TECHNICAL SKILLS

Cloud Platforms: AWS (EC2, S3, Lambda, RDS, IAM, VPC, CloudFront), Azure (VMs, Blob Storage, AKS, Azure Functions), GCP, Apache Kafka

Infrastructure as Code (IaC): Terraform, AWS CloudFormation, Ansible, Argo CD CI/CD Tools: Jenkins, GitHub Actions, GitLab CI/CD, CircleCI, Nexus. Containerization &

Orchestration:

Docker, Kubernetes (EKS, AKS, GKE), Helm, OpenShift Configuration Management: Ansible, Puppet

Monitoring & Logging: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Datadog, Splunk, AWS CloudWatch.

Scripting & Automation: Bash, Shell Scripting, PowerShell Programming Languages: Python, Java, SQL

Version Control &

Collaboration:

Git, GitHub, GitLab, JIRA, Confluence

Networking & Security: DNS, TCP/IP, VPN, Load Balancers (ALB, NLB), Firewalls, HTTPS Databases: MySQL, PostgreSQL, MongoDB, Redis, Snowflake Operating Systems: Linux (Ubuntu, CentOS, Debian), Windows EXPERIENCE

DevOps Engineer Fiserv USA Sep 2024 – Present

Led transformation of legacy financial systems into computerized DevOps pipelines, supporting 2 million daily transactions and 10,000 concurrent users, enabling high-performance delivery of payment processing applications.

Automated 150+ infrastructure components using Azure VMs, Blob Storage, AKS, and Functions, reducing manual provisioning and ensuring compliant, efficient deployments across development, testing, and production.

Built GitLab CI/CD pipelines for 75 microservices, implementing mechanized builds, testing, and deployments, improving release consistency, minimizing errors, and ensuring continuous integration across environments.

Managed containerized applications on Kubernetes, EKS, and OpenShift, running 120 microservices, enabling controlled canary rollouts, maintaining 99.95% uptime, and deploying financial workloads efficiently.

Configured Datadog and Grafana dashboards monitoring 250+ metrics, improving observability, accelerating incident detection and resolution, and supporting performance tuning and security across transaction systems.

Optimized PostgreSQL databases handling 6TB+ transactional data, automated maintenance using PowerShell and Bash, improving query performance, supporting 50,000+ daily queries, and enabling efficient DevOps operations.

Executed automated compliance checks and security controls using Python across Azure environments, ensuring SOX and PCI-DSS adherence, reducing audit findings by 40%, and strengthening financial transaction security. DevOps Engineer Capgemini India Aug 2020 – Jun 2023

Systematized cloud infrastructure with Terraform and infrastructure-as-code, contributing 35% to multi- environment AWS resources (EC2, VPC, IAM, S3, RDS),, reducing deployment errors, accelerating release cycles.

Configured Linux servers with Ansible for automated setup, patching, and software installations, deploying 50+ servers while maintaining stability, performance, and supporting healthcare IT infrastructure environments.

Implemented CI/CD pipelines using GitHub Actions and Jenkins, automating deployments, minimizing manual intervention, and accelerating continuous integration across healthcare applications.

Containerized healthcare application services using Docker to deploy 20+ microservices, reducing configuration drift, simplifying maintenance, and ensuring consistent performance across development, testing, and production.

Processed patient datasets using Apache Spark, dedicating 15% of project time to optimizing transformation speed, improving analytics performance, enabling real-time insights, and supporting data-driven hospital resources.

Monitored application performance with Prometheus and Grafana, integrating AWS CloudWatch metrics and automated alerts via Lambda/SNS to proactively detect bottlenecks and maintain uninterrupted operation.

Secured patient data through HIPAA-compliant IAM policies, allocating 40% of total project effort to encryption, access control, and network safeguards, ensuring compliance and reinforcing trust in healthcare systems. EDUCATION

Master of Science in Computer and Information Sciences Sep 2023 – May 2025 New Jersey Institute of Technology

Bachelor of Technology in Computer Science Aug 2019 – May 2023 Gokaraju Rangaraju Institute of Engineering & Technology CERTIFICATIONS

• NPTEL Elite certification in Data Science for Engineers.

• NPTEL Elite certification in Data Analytics with Python.

• AWS Academy Cloud Foundations and Machine Learning Foundations.

• AWS Certified AI Practitioner

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