Pavan Ghuge

Background

About Pavan Ghuge

Professional Summary: Results-driven Software Engineer and Financial Analyst with 9+ years of experience in designing and implementing secure, scalable cloud-based solutions using AWS, Python, and various DevOps tools. Proven track record of developing APIs, automated pipelines, and microservices, as well as extensive experience in financial analysis, forecasting, and data science. Adept at collaborating with cross-functional teams to enhance system security, optimize performance, and drive business insights. Technical Skills - Cloud Platforms: AWS (EC2, ECS, IAM, Lambda, VPC, S3, EBS, RDS, CloudWatch)- Programming Languages: Python, SQL, NoSQL - Frameworks & Tools: FastAPI, Django, Flask, Jenkins, GitHub, Terraform, Docker, Kubernetes, REST API - Data Science: Python (Pandas, NumPy), Machine Learning, Time Series Analysis - Databases: MySQL, PostgreSQL, MongoDB - Financial Analysis: Financial Modeling, Forecasting, Budgeting, Risk Assessment - DevOps: CI/CD, Code Pipeline, Infrastructure as Code Professional Experience American Airlines (April 2023 - Present)- Designed secure key management solutions using HashiCorp Vault- Implemented dynamic secrets management and integrated Vault with existing systems- Developed RESTful APIs with FastAPI and built backend services leveraging asynchronous programming- Enhanced API security with data validation, serialization, and authentication techniques. Capital One (June 2022 - March 2023)- Developed APIs for serverless architecture in AWS and created AMIs- Implemented automated pipelines with AWS Code Pipeline for Docker deployments- Managed CI/CD processes using Jenkins and supported AWS cloud resources- Developed microservices and worked on various Python applications and CI/CD pipeline tools. Nutrient Ag Solutions (June 2021 - May 2022)- Integrated APIs with AWS serverless architecture and developed machine images- Created automated pipelines and developed views and templates using Django- Managed AWS cloud resources and deployed applications using Terraform- Provided operations and maintenance support for AWS resources. Verita Overseas, Pune, Maharashtra (June 2015 - June 2019)- Produced financial reports, reduced costs, and improved financial metrics- Analyzed large financial datasets using Python, Pandas, and NumPy- Developed predictive models and time series analysis for financial forecasting- Created dashboards and reports for data-driven decision-making- Worked on backend web applications using Python and Django.