TMV Global is a consulting and services firm built around cloud infrastructure, data pipelines, and IT transformation. The stack—Kafka, AWS (RDS, Lambda, SageMaker, Redshift), Informatica, Python, and ML frameworks—reflects heavy investment in data-driven delivery. Active hiring skews engineering (4 of 6 open roles), with adoption of Terraform and GitLab CI/CD signaling infrastructure-as-code maturity. Pain points center on data pipeline performance and cloud migrations, which map directly to the project backlog.
TMV Global, founded in 2021 and headquartered in Edison, New Jersey, provides IT services, strategic consulting, and technology solutions to mid-market and enterprise clients. The firm operates across IT & Engineering (cloud, DevOps, systems integration), Business Process Transformation, Data & Analytics, and Technology Advisory. Vertical expertise spans BFSI, telecommunications, manufacturing, retail, energy, and public sector. Current workload centers on cloud transformations, data center migrations, and performance optimization—backed by a stack heavy on AWS managed services, real-time messaging (Kafka), and ML infrastructure (SageMaker, TensorFlow, scikit-learn).
AWS (MSK, RDS, Lambda, SageMaker, Redshift, CloudWatch, VPC), Kafka, DynamoDB, Salesforce, Python, TensorFlow, PySpark, Java, Spring Boot, and Informatica IDMC. Currently adopting Terraform, Ansible, and GitLab CI/CD.
Solution blueprints, data flow/lineage documentation, API specifications, cloud transformations, data center migrations, and network enhancements. Focus areas include data pipeline performance, cloud readiness, and operational reliability.
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TMV Global Inc's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.