Vikas Sai
Devops Engineer @Bank of America
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WORK HISTORY
Devops Engineer @Bank of America
Designed and managed end-to-end data pipelines and cloud-based analytics infrastructure to support AI/ML-driven insights for financial and business operations. Built and automated scalable data pipelines using AWS Glue, Lambda, and Apache Airflow, integrating data from RDS, DynamoDB, S3, and Kafka into a centralized AWS data lake. Developed and maintained CI/CD pipelines with GitLab CI, Jenkins, and AWS CodePipeline for data and ML workflows, ensuring version control, automated testing, and reliable deployments. Automated infrastructure provisioning using Terraform and CloudFormation to create secure, compliant environments. Integrated ML models using AWS SageMaker, TensorFlow, and Scikit-learn for fraud detection and claims prediction. Deployed and managed containerized microservices on Docker and Amazon EKS, with Helm for orchestration. Optimized data storage with Amazon RDS, Redshift, and S3 for analytics workloads. Enabled real-time streaming and event-driven analytics using Apache Kafka and Amazon Kinesis. Implemented observability with CloudWatch, Prometheus, and Grafana, and used Splunk for log analytics and compliance monitoring. Automated configurations and patch management using Ansible and AWS Systems Manager, reducing downtime and manual effort. Collaborated with data scientists and developers in Agile/Scrum teams to streamline feature engineering, model deployment, and data-driven decision-making.
EDUCATION
University of Dayton
Master of Computer Applications - MCA
Loyola Degree College
Bachelor of Science - BS, Computer Science
ABOUT VIKAS SAI
Devops Engineer
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