Vrushabh Kothari

DevOps Engineer

Automation AI Infosystem Pvt. Ltd.

04.2022 - Current

Automated application deployments to various environments (development, staging, production) with minimal manual intervention.
Built and maintained container images (Dockerfiles) for applications, and define orchestration manifests.
Developed an automated data cleansing process to reduce manual errors.
Application deployed on remote servers. Setup Linux environments, Kubernetes environments, NVIDIA CUDA on systems and servers.
Integrated developed applications on internal Linux servers setup CICD pipelines to automate development life cycle.
Collaborated with data scientists to containerize ML workflows, resulting in improvement in reproducibility and enabling effortless scaling of compute resources on-demand.
Optimized data architecture by designing and implementing scalable ETL pipelines to improve data processing efficiency and reduce processing times.
Automated data ingestion and processing pipelines with Docker and Kubernetes, ensuring scalable, fault-tolerant, and reproducible data workflows in a cloud-native environment.
Implemented version control systems (Git) for all infrastructure and data pipeline code, ensuring seamless collaboration across teams and full traceability of changes.
Applied data pipeline optimization techniques, including incremental data loads, caching, and partitioning strategies, reducing ETL processing times.
Automation Scripts: Developed Bash/Shell scripts for automating infrastructure provisioning, configuration management, and system monitoring, reducing manual intervention and ensuring consistent deployments.
Designed and operated cloud architectures on AWS with an eye toward scalability, cost, and resilience.