Vidhi Davda

Background

About Vidhi Davda

DevOps Engineer with over 8 years of progressive experience evolving from building CI/CD for on-premises healthcare systems to enabling velocity and architecting secure, scalable, and cost-efficient cloud infrastructure that powers mission-critical workloads across e-commerce and enterprise platforms. I’ve driven DataOps and platform modernization initiatives that enhanced data delivery, improved infrastructure reliability, and increased team-wide efficiency across cloud-native environments. Key accomplishments include: & • Architected AWS data pipelines with ECS Fargate using Terraform • Designed secure AWS foundational infrastructure (VPC, IAM, S3) using Terraform • Enabled self-service provisioning with reusable Terraform modules—cutting onboarding time by 60% and centralizing governance via PR workflows • Built CI/CD pipelines for infrastructure-as-code, Python, and Node.js-based workloads • Drove multi-cloud cost optimization across AWS and GCP, achieving savings of 75 %+ and reducing tech debt by 30% through cross-functional collaboration • Used Python with AWS Secrets Manager and Lambda to automate secrets rotation and scripted S3-to-DynamoDB indexing to cut search retrieval time by 50% and double throughput. • Introduced data reliability using Soda + Airflow for Snowflake-bound pipelines • Developed an internal file-sharing solution (S3 File Gateway + SageMaker + Direct Connect) to streamline on-prem ↔ cloud collaboration • Set up AWS Data Science account and introduced MLOps best practices on SageMaker to align with SDLC standards • Established secure, governed access to NDA-bound Looker reports for external partners, in collaboration with the Data Reporting and Looker Support teams I’m passionate about streamlining operations and building internal platforms that reduce friction for developers, driving long-term cloud strategy through automation, observability, and resilient design.