Vikash A.

Cloud-COE Engineer Avis Budget Group (November 2024 – Present) Project: Fleet Data Platform and Customer Data Platform • Automated two manual processes requiring constant intervention with developer teams: 1. Start, stop, and status check of AWS services using JumpBox. 2. Automatic rotation of secret keys in Secret Key Manager. • Converted hard-coded CloudFormation scripts into dynamic Terraform scripts. --- DevOps Engineer (Contract) Avis Budget Group (October 2023 – October 2024) Project: Multi-Region Deployment • Automated deployment scripts, reducing setup time by 90%. • Deployed and managed services in Kubernetes clusters across two AWS regions, enhancing service redundancy. • Implemented access control, failover, and outlier detection policies to improve system reliability. • Transitioned ingress management from Istio to route tables for Gloo Mesh, streamlining network traffic management. Project: FDP (Client: Avis Budget Group) • Developed Jenkins jobs for Terraform/CloudFormation tasks, optimizing solutions and reducing time and cost. --- Programmer Analyst Trainee Cognizant (March 2023 – October 2023) Project: Digital Dashboard Transformation (Client: Otsuka Pharmaceuticals) • Migrated data to Tableau using SQL queries while ensuring data integrity. • Tested and corrected Tableau dashboards, achieving 100% accuracy in data visualization. --- Internship: Data Warehousing Intern Cognizant (March 2022 – June 2022) • Gained expertise in PySpark, Hive, and Hadoop for enhanced data processing. • Performed ETL processes using Informatica PowerCenter, optimizing data workflows. • Delivered over 50 shell scripts and fulfilled 150+ SQL, Python, NumPy, and Pandas requirements to improve data analysis capabilities. --- Key Projects Book Info Application • Provisioned VPC, subnets, routing, security groups, and EC2 instances using Terraform. • Deployed Istio sample book info application on EC2, demonstrating end-to-end deployment capabilities. Movie Review Model • Scraped IMDb data for 5000+ movies using BeautifulSoup and stored it in SQL. • Cleansed data using Python, NumPy, and Pandas; visualized using Tableau. • Trained a regression model with RandomForestRegressor (Scikit-Learn), achieving 96% prediction accuracy. Cross-Account S3 Replication • Designed a cross-account S3 replication solution for data synchronization across AWS regions. • Configured S3 bucket policies and IAM roles for secure data transfer. • Automated replication using AWS Lambda and monitored with CloudWatch, ensuring high availability and redundancy. ---