DevOps Engineer - Automation & Cloud Infrastructure Expert

Nikhil Dev Bandreddi

469-***-**** ********************@*****.*** LinkedIn

SUMMARY

DevOps Engineer with 3 years of experience in automating infrastructure, streamlining CI/CD pipelines, and enhancing cloud-based deployments across AWS and Azure environments. Skilled in Python, SQL, Git, Docker, and Kubernetes with hands-on experience in monitoring, logging, and infrastructure-as-code (IaC). Proven track record of improving system reliability, reducing deployment times, and supporting cross-functional teams with data-driven automation. SKILLS

Programming & Scripting: Python (Pandas, NumPy), SQL, Bash DevOps & CI/CD Tools: Git, GitHub, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Terraform, Ansible Monitoring & Logging: Prometheus, Grafana, ELK Stack Cloud Platforms: AWS, Azure

Infrastructure & IaC: Infrastructure as Code (Terraform), Containerization (Docker), Orchestration (Kubernetes) Data Analytics & BI (Core & TCS-specific): Data Wrangling, Data Cleaning, KPI Tracking, A/B Testing, Regression Analysis, Data Storytelling

Visualization & Reporting: Power BI, Tableau, Excel, Matplotlib, Seaborn Databases: PostgreSQL, MongoDB, Snowflake

Tools & Environments: Jupyter Notebook, Anaconda, Microsoft Office, Google Workspace, Git PROFESSIONAL EXPERIENCE

DevOps Engineer, Flatiron Health Jan 2025 - Present USA

Improved the software delivery process by designing and refining CI/CD pipelines using Jenkins and Docker, which helped speed up deployments by cutting about 5 days off each release and lowering rollback incidents by 8.

Created real-time monitoring dashboards with Prometheus and Grafana that made it easier to spot problems early, helping reduce the average time to fix issues.

Took charge of managing AWS cloud resources, using Terraform and CloudFormation to automate provisioning of over 100 resources, which saved monthly cloud costs while keeping the system reliable with 99.9% uptime.

Automated the setup and configuration of development, testing, and production environments using Ansible, saving the team about 30 hours each month and reducing deployment errors by 15%.

Worked closely with developers to containerize more than 10 applications using Docker, making deployments more consistent and improving success rates by increasing successful releases, while also making rollbacks easier when needed.

Added automated security scans and compliance checks into the CI/CD pipelines, which improved audit readiness by completing more audits on schedule and strengthened security before production releases. Data Analyst, TCS May 2020 - Nov 2022 India

Managed the integration, cleaning, and quality enhancement of large-scale enterprise datasets using PostgreSQL and MongoDB, improving data consistency and reducing manual corrections by handling over 500,000 records monthly.

Automated the creation and distribution of key performance reports using Excel, Tableau, and Matplotlib, cutting manual reporting time by over 30 hours per month and allowing teams to focus more on analysis.

Conducted detailed regression analyses and A/B testing on marketing campaigns and pricing strategies, contributing to an increase of several million dollars in client revenue through better-informed decisions.

Developed custom dashboards with Python and Seaborn for compliance tracking, accelerating regulatory reporting deadlines by several weeks and helping clients meet critical submission requirements reliably.

Supported migration and management of analytics infrastructure on the Azure cloud platform, maintaining uptime above 99.8% during peak business periods.

Delivered data insights using compelling data storytelling techniques, effectively communicating complex results to non-technical stakeholders to drive alignment and action.

Enhanced cross-team productivity by implementing shared development environments with Anaconda, alongside collaboration tools like Microsoft Office and Google Workspace, contributing to faster project completion. EDUCATION

Master in Information Systems and Technologies

University of North Texas Jan 2023 - Dec 2024

Bachelors in Civil Engineering

JNTU, Kakinada, India Aug 2017 - May 2020

CERTIFICATIONS

AWS Developer Certified

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