Databricks Implementation & Optimization

We own the journey end-to-end—architecting the Lakehouse, configuring clusters, Photon runtimes and SQL warehouses, then tuning jobs with FinOps guard-rails to maximize throughput and ROI.

Data-Team Enablement & Augmentation

Our databricks-certified engineers embed alongside your squads, leading code reviews, pair-programming, and bespoke up-skilling on Spark, Delta Live Tables, MLflow, and Workflows so your people scale with the platform.

Data Governance

Using Unity Catalog, attribute-based access control, and policy-as-code pipelines, we automate lineage capture and audit-grade logging—delivering iron-clad compliance and trusted data products across the Lakehouse.

AI & Machine Learning

From use-case discovery to MLOps, we stand up feature pipelines, AutoML experiments, and Model Serving endpoints—deploying deep-learning and GenAI workloads on auto-scaled GPU clusters with built-in drift and cost monitoring.

Data Architecture Optimization

As data, use-cases, and regions expand, we refactor medallion layers, introduce CDC streaming patterns, and standardize storage formats—raising performance, portability, and cost-efficiency without vendor lock-in.

Managed Services

Our 24 × 7 Databricks operations center patches runtimes, monitors health, tunes workloads, and enforces cost controls. SLA-backed incident response and monthly optimization reports keep your Lakehouse secure, complaint, and always-on.