AWS data and AI modernization consulting for enterprise transformation
RevStar is a 51–200-person consulting firm focused on AWS-native data platforms and generative AI implementations. Their tech stack is heavily weighted toward AWS managed services (Bedrock, Glue, Lake Formation, SageMaker, Redshift) with complementary tools like Databricks, MLflow, and Delta Lake—a pattern that signals deep specialization in cloud data lakes and ML ops rather than general consulting. The hiring velocity is accelerating with seven open data roles and four engineering positions, all at senior level, suggesting they're scaling delivery capacity for large-scale modernization engagements.
RevStar partners with mid-market and enterprise organizations to migrate legacy systems to cloud-native architectures, with particular emphasis on data lakes, analytics modernization, and generative AI integration. Founded in 2018 and based in Tampa, Florida, the firm operates across strategy, architecture design, and hands-on delivery. Their project portfolio spans cloud migration strategy, data lake quickstarts, AI/ML pipeline architecture, and lakehouse implementations—typically working alongside AWS sales teams on strategic accounts. They serve organizations navigating the dual challenge of modernizing aging data platforms while capturing new value from machine learning and large language models.
Primary stack: AWS (Bedrock, Glue, Lake Formation, SageMaker, Redshift, Lambda, DynamoDB, RDS, Aurora), Python, Databricks, Delta Lake, MLflow, Apache Spark, and Azure Data Lake. Also uses OpenSearch, HubSpot, Figma, and Athena.
Active projects include cloud migration strategy, GenAI/LLM ops quickstarts, data lake architecture, data platform modernization, AI/ML pipelines, lakehouse solutions, and monitoring/alerting systems. Often executed as co-delivery with AWS account teams.
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RevStar'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 →
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