Data platform and analytics consulting for enterprise digital transformation
Blumetra Solutions is a data and analytics consulting firm built around Databricks, Snowflake, and AWS, with deep bench in data engineering (Airflow, PySpark, dbt, Informatica IDMC) and metadata governance (Collibra, Atlan, Reltio). Their active project roster—enterprise-scale data platforms, real-time ETL, MDM implementations, and AI/ML use cases—combined with hiring velocity concentrated in senior data roles across India and the Bay Area, indicates a services firm scaling capacity to handle complex data modernization engagements.
Notable leadership hires: Tech Lead
Blumetra Solutions is a digital services and consulting firm founded in 2020 and headquartered in Pleasanton, California, with a development center in Hyderabad, India. They work with mid-market and enterprise customers across retail, financial services, high tech, and pharmaceuticals to execute data transformation projects. Their delivery model pairs data engineering, analytics, and cloud architecture with change management and adoption planning. Core competencies include building enterprise data platforms on Snowflake and AWS, designing real-time integration pipelines, implementing master data management solutions, and defining metadata governance frameworks.
Primarily Snowflake, Databricks, AWS (EMR, Athena, Glue, Lambda, RDS), Informatica IDMC for ETL, dbt for transformation, Apache Airflow for orchestration, and Collibra/Atlan for metadata governance. Also uses Power BI, Tableau, Oracle, Azure, Reltio for MDM, and Terraform/CloudFormation for IaC.
Enterprise-scale data platforms, real-time data integration pipelines, Snowflake/dbt frameworks, master data management implementations (Reltio), AI/ML use cases, and next-generation single source of truth data architectures. Heavy focus on scaling ETL and data governance across enterprise systems.
Blumetra Solutions'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.