Teams at RevStar Consulting

Build and optimize Databricks Lakehouse architectures and scalable ETL/ELT pipelines using Spark and Delta Lake across AWS, Azure, and GCP. Tune performance and cloud costs, integrate MLflow for AI model operationalization, and implement CI/CD and Infrastructure-as-Code deployments. Enforce governance, security, and compliance through Unity Catalog. Partner with architects, data scientists, engineers, and clients to deliver production-ready AI solutions and documentation.

Build responsive React frontends and secure, scalable NodeJS and Express backends for cloud-native client applications. Integrate structured and unstructured data across AWS services, implement search and ETL pipelines, optimize performance, and contribute to architecture, APIs, testing, code reviews, and shared components. Collaborate in Agile teams, work directly with clients, gather requirements, demo solutions, and ensure delivery meets business goals.

Build and optimize cloud-agnostic Databricks Lakehouse architectures, scalable ETL/ELT pipelines, and MLOps frameworks across AWS, Azure, and GCP. Tune Spark workloads, automate deployments with CI/CD and Infrastructure-as-Code, and implement monitoring, data quality, governance, security, and compliance controls. Partner with data scientists, architects, ML engineers, and client stakeholders to productionize AI/ML models and deliver enterprise data solutions.