Mansoor Shaik is a Big Data Engineer with a decade of experience building cloud-native data platforms and MLOps pipelines, currently driving big data initiatives at Apple from Cary, NC. He has deep hands-on expertise in Kubernetes, Kubeflow Pipelines, Spark, and both AWS and Azure infrastructure, having moved PoCs to production-grade, stateless Kubeflow v1.4 deployments and authored Kubernetes CRDs in Go. Mansoor combines backend microservice development (FastAPI, Celery, RabbitMQ) with IaC and GitOps practices (Terraform, Terragrunt, ArgoCD, GitHub Actions) to automate and scale data workflows. He has contributed to the popular kubeflow/pipelines project, improving CLI UX and JSON outputs—an indicator of his focus on developer experience in ML platforms. Early career work in large Hadoop ecosystems and health-data analytics at IQVIA underpins his strong data engineering foundation. Known for bridging data science and platform engineering, he brings a pragmatic blend of automation, observability, and production readiness to complex ML deployments.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Technology - BTech, Information Technology, 7.89, Bachelor of Technology - BTech, Information Technology, 7.89 at Gandhi Institute of Technology & Management (GITAM) University, Visakhapatnam
Master's degree, Computer and Information Systems Security/Information Assurance, 3.90, Master's degree, Computer and Information Systems Security/Information Assurance, 3.90 at Pace University
Contributions:19 reviews, 7 commits, 5 PRs in 3 months
Contributions summary:Mansoor primarily focused on enhancing the command-line interface (CLI) functionality of the Kubeflow Pipelines SDK. They added support for JSON output formatting, improved the display of pipeline and run information, and addressed missing short options for CLI commands. Furthermore, they modified the run and experiment CLI to improve user experience by incorporating click echo statements and correcting output messages. Their work streamlined the user experience for interacting with Kubeflow pipelines through the CLI.
API for reading and writing data via various file transfer protocols from Apache Spark.
Contributions:11 releases, 36 commits, 3 PRs in 4 months
sparksqlapiapachesparkfile-transfer
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