DevOps Engineer Cloud Infrastructure & Automation

PAVAN TEEPARTY

Orlando, FL +1-689-***-**** **********@*****.*** LinkedIn GitHub Portfolio PROFESSIONAL SUMMARY

• DevOps Engineer with 5 years of experience supporting AWS and Azure production environments across banking, education, and manufacturing/retail domains.

• Strong hands-on experience with CI/CD pipelines using Jenkins and Azure DevOps, enabling automated build, release, and deployment workflows.

• Proven expertise in infrastructure automation and IaC using Terraform and AWS CloudFormation to standardize and manage cloud environments.

• Experienced in monitoring, incident management, and production support using CloudWatch, Splunk, Grafana, and ServiceNow to meet SLA targets.

• Solid background in Linux systems, scripting, SQL analysis, and AutoSys batch scheduling supporting business-critical workloads.

TECHNICAL SKILLS

Cloud Platforms: AWS (EC2, S3, RDS, IAM, CloudWatch, CloudFormation), Azure (Virtual Machines, Azure DevOps, Azure Monitor).

DevOps & CI/CD: Azure DevOps Pipelines, Jenkins, CI/CD, Build and Release Engineering. Infrastructure as Code & Automation: Terraform, AWS CloudFormation, Automation Scripting. Containers: Docker, Kubernetes (EKS, AKS).

Monitoring & Reliability: CloudWatch, Splunk, Grafana, Incident Management, Root Cause Analysis. Scripting & Configuration: Python (automation), Bash, Shell Scripting, YAML. Enterprise Scheduling: AutoSys, UC4, Cron.

Databases: Oracle, MySQL, Amazon Aurora, SQL Performance Tuning. Version Control: Git, GitHub.

ITSM & Operations: ServiceNow, Jira, Production Support. Security Basics: IAM, SSH, SSL/TLS.

Operating Systems: Linux, Windows Server.

PROFESSIONAL EXPERIENCE

DevOps & Cloud Engineer Nov 2023 - Present

Silicon Valley Bank Austin, TX

• Engineered infrastructure automation by developing Terraform and CloudFormation templates for EC2, RDS, and IAM provisioning, cutting environment setup time by 40% and eliminating configuration drift across banking workloads.

• Built monitoring and alerting logic using CloudWatch metrics and Splunk log correlation, enabling proactive detection of latency and failure patterns and reducing high-severity incident response time by 35%.

• Developed Python-based automation to parse application and infrastructure logs, identify recurring failure signatures, and surface actionable insights, lowering repeat P1 incidents by 25%.

• Improved data-layer performance by analyzing execution plans and tuning SQL queries on Amazon Aurora, accelerating financial batch and reporting jobs by 20% during peak processing windows.

• Designed and validated recovery workflows by automating RDS snapshot verification and restore testing, reducing recovery time objectives by 50% and strengthening audit readiness.

• Enhanced deployment reliability by supporting CI/CD pipelines and standardizing release validation steps with development teams, reducing rollback occurrences and stabilizing production releases.

• Optimized cloud cost efficiency by analyzing EC2 utilization and workload patterns and contributing to Reserved Instance adoption, achieving a 10-12% reduction in monthly AWS spend.

• Collaborated with application, security, and infrastructure teams to drive root cause analysis and implement permanent fixes, reducing recurring production issues by 30% across core banking services. Miraki Technologies Feb 2020 - Sep 2022

Client: Energizer Holdings Inc. Hyderabad, India DevOps Support Engineer

• Azure DevOps CI/CD pipelines were supported for build and release workflows across manufacturing and retail applications, helping reduce deployment-related incidents by approximately 30%.

• Azure Virtual Machines were monitored using Azure Monitor to identify resource bottlenecks and availability issues early, ensuring stable and reliable production environments.

• Build and pipeline failures were investigated in collaboration with development teams, shortening mean time to resolution by nearly 25% during release cycles.

• Bash and shell scripts were created to automate environment validation checks, reducing manual verification effort and improving release consistency.

• Git-based workflows were maintained to support controlled code promotions across development, testing, and production environments.

• Assisted infrastructure teams with Azure storage configurations for build artifacts and logs, improving deployment traceability and troubleshooting efficiency.

• Participated in post-deployment reviews with QA and operations teams to document issues and recommend incremental pipeline improvements.

• Coordinated closely with cross-functional teams during production releases to ensure smooth rollouts with minimal service disruption.

Client: Savvas Learning Company Hyderabad, India Production Support Engineer

• AutoSys batch scheduling was managed across QA and production environments to ensure reliable execution of nightly academic data pipelines, consistently maintaining 99.9% job completion rates.

• JIL scripts were enhanced to fix job dependencies and timing issues, reducing manual restarts and lowering operational intervention by nearly 30% during peak processing windows.

• SQL-based analysis was performed on failed batch processes to identify data inconsistencies and root causes, resulting in permanent fixes that reduced repeat failures by approximately 40%.

• Shell scripts were implemented to validate file availability and job prerequisites before execution, preventing downstream processing delays and incomplete academic data loads.

• Collaborated with data engineering and QA teams to onboard new batch jobs into AutoSys, ensuring smooth coordination during academic release cycles and curriculum updates.

• Grafana dashboards were used to monitor job runtimes and failure trends, enabling quicker issue identification and escalation during high-volume processing periods.

• Managed over 200 ServiceNow tickets per month, maintaining 95% SLA adherence through structured triage, timely resolution, and clear communication with stakeholders.

• Supported critical academic release timelines by coordinating with cross-functional teams to ensure batch readiness and on-time delivery of learning data.

PROJECTS

Banking Platform Reliability

• Designed a secure AWS banking-style environment by provisioning EC2, IAM, and RDS using Terraform, ensuring consistent infrastructure deployment and alignment with high-availability architecture practices.

• Implemented detailed CloudWatch metrics and alarms to track application latency, instance health, and database performance, enabling proactive visibility into simulated production workloads.

• Evaluated EC2 utilization metrics and instance behavior to apply cost-awareness techniques commonly used in enterprise environments without impacting performance or availability. CI/CD Pipeline Implementation

• Implemented an end-to-end CI/CD pipeline using Jenkins and Azure DevOps, automating build and deployment workflows to mirror enterprise release engineering practices.

• Integrated Git and GitHub with pipeline triggers to manage controlled code promotions across environments and maintain version traceability.

• Developed Bash-based validation scripts within pipeline stages to enforce configuration checks and improve deployment consistency across simulated environments. Batch Processing & Monitoring Automation

• Configured enterprise-style AutoSys job schedules with dependencies and calendars to replicate large-scale batch processing workflows used in production systems.

• Applied Shell scripting and SQL analysis to validate job prerequisites, analyze execution behavior, and troubleshoot simulated batch execution failures.

• Created Grafana dashboards to monitor job runtimes and failure trends, supporting incident analysis and structured root cause documentation practices.

EDUCATION

Master of Science in Information Technology and Management Webster University Orlando, FL

Bachelor of Engineering in Electronics and Communication Pragati Engineering College Kakinada, India

CERTIFICATIONS

• AWS Certified Solutions Architect - Amazon

• Azure Administrator Associate - Microsoft

• Terraform Associate - HashiCorp

• Linux Foundation Certified System Administrator (LFCS)

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