Bhavana Naramaneni
Cloud Engineer • United States • n*******************@gmail.com • +12******730 • linkedin.com/••••• • bhavana-naramaneni.netlify.app/•••••
Professional Summary
Cloud Engineer with 3+ years of experience specializing in AWS, Microsoft Azure, Terraform, Kubernetes, CI/CD, Infrastructure as Code, Cloud Security, and AI-powered cloud automation. Executed cloud modernization initiatives that reduced deployment time by 65% while architecting secure, scalable, and available cloud platforms. Expertise includes automating infrastructure, fortifying cloud security, streamlining deployment pipelines, and delivering resilient enterprise solutions for the financial services industry.
Technical Skills
Programming Languages: Python,Bash
Cloud & DevOps: AWS,Microsoft Azure,Docker,Kubernetes,Terraform,Jenkins,GitHub Actions,Cloud Monitoring
Frameworks & Libraries: Pandas,NumPy,LangChain,LlamaIndex,MLflow,FastAPI,Flask
Databases: SQL,PostgreSQL,SQL Server,Oracle,MySQL,MongoDB
Data Engineering & Monitoring: PySpark,Apache Spark,Spark SQL,Databricks,Kafka,ETL/ELT Pipelines,Hadoop,Hive,Delta Lake,Snowflake,Prometheus,Grafana,Splunk,ELK Stack
Machine Learning & Generative AI: Azure OpenAI,Retrieval-Augmented Generation,Prompt Engineering,Vector Databases,Semantic Search,AI-Powered Data Pipelines
Version Control & Visualization Tools: Git,GitHub,Power BI,Tableau,Looker,Microsoft Excel
Work Experience
Citibank
Irving, TX
Cloud Engineer
Jan 2025 – Present
At a global financial services institution, engineered cloud and AI data platforms that powered enterprise analytics, reporting, and regulatory compliance.
Tech Stack: AWS, Amazon Bedrock, Jenkins, AWS IAM, CI/CD, Infrastructure as Code, Generative AI, Root Cause Analysis, Cloud Monitoring
- Developed scalable AWS cloud environments for retail banking and credit card platforms, automating infrastructure provisioning for 120+ production workloads while enabling secure, standardized, and available cloud deployments.
- Automated secure CI/CD pipelines using Jenkins, streamlining application releases for cloud-native banking platforms and enabling zero-downtime deployments across development and production environments.
- Strengthened cloud security by implementing AWS IAM, encryption controls, and access governance policies, reducing security vulnerabilities by 50% while ensuring compliance with enterprise and regulatory standards.
- Partnered with application development, database, networking, and cybersecurity teams to modernize enterprise banking services, accelerating cloud adoption and improving service reliability across critical financial applications.
- Integrated Generative AI using Amazon Bedrock to automate incident summarization, root cause analysis, and infrastructure recommendations, improving engineer productivity by 40% and accelerating operational decision-making.
- Enhanced cloud observability using CloudWatch, implementing monitoring and intelligent alerting to identify performance bottlenecks, reducing production incidents by 35% across enterprise banking workloads.
Wells Fargo
Hyderabad, India
Cloud Engineer
May 2022 – Dec 2023
Designed, secured, and automated Azure cloud infrastructure supporting digital banking, commercial lending, payment processing, and enterprise financial services while ensuring security, scalability, and regulatory compliance.
Tech Stack: Microsoft Azure, Terraform, Azure Landing Zones, Infrastructure as Code, Azure OpenAI Service, Azure Monitor, Azure Site Recovery, Cloud Security, Cloud Monitoring, Log Analysis, Cloud-Native Architecture
- Architected secure and scalable Azure cloud infrastructure for digital banking, commercial lending, and payment platforms, ensuring resilient application hosting, enterprise-grade security, and seamless support for business-critical financial services.
- Automated infrastructure provisioning using Terraform and Azure Landing Zones, reducing environment deployment time by 65% while standardizing cloud resources across development, testing, and production environments through IaC.
- Strengthened cloud security by implementing Microsoft Defender for Cloud, enforcing regulatory compliance policies, securing sensitive financial data, and identifying vulnerabilities across enterprise Azure workloads.
- Collaborated with DevOps engineers, application developers, cybersecurity teams, and cloud architects to modernize cloud-native banking applications, streamline release processes, and improve platform reliability across many business units.
- Implemented AI-assisted cloud monitoring using Azure OpenAI Service and Azure Monitor, enabling proactive incident detection, intelligent log analysis, and automated operational insights that improved operational efficiency by 45%.
- Optimized disaster recovery using Azure Site Recovery, reducing recovery time by 60% while strengthening business continuity and ensuring uninterrupted availability of mission-critical banking applications.
Projects
Cloud-Based AI Chatbot | Jan 2026 – Mar 2026
- Built a scalable AI chatbot solution using Python, FastAPI, and AWS Lambda, reducing query response time by 35% and enhancing user interaction efficiency.
- Created secure RESTful APIs with FastAPI and JWT authentication to enable reliable chatbot communication workflows, improving system reliability by 30%.
- Configured cloud infrastructure and automated deployment workflows using AWS EC2, S3, IAM, Docker, and GitHub Actions CI/CD, increasing application availability and accelerating release cycles.
- Optimized chatbot performance through comprehensive testing, debugging, and response tuning, improving system efficiency and overall response quality.
- Integrated AI-driven conversational capabilities with Python-based automation and cloud services, delivering a scalable and maintainable chatbot platform.
Education
Governors State University
Master of Science in Computer Science • IL, USA • Jan 2024 – Dec 2025
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