Data at the center of real work
Modern organizations operate through data. Databricks provides the scaffolding for building flexible systems that support analytics, AI, and application logic in one place.
YASH Technologies’ Databricks COE focuses on helping enterprises design grounded data systems—ones that are efficient, observable, maintainable, and aligned to their business’s rhythm. Our approach blends technical depth with cross-functional understanding—not just pipelines and models but their role in defining operations, products, and policies.
What We Do Differently.
Technical Breadth with Implementation Rigor
We bring deep experience across data engineering, AI/ML, and enterprise analytics deployments with measurable reliability.
Templates That Aren’t Generic
Our accelerators are scripts, schemas, provisioning modules, and CI/CD packs, which are deployable, tweakable, and ready to work.
Cloud-Neutral, Architecture-Specific
Whether you’re on AWS, Azure, GCP, or SAP, we align with your authentic architecture.
Context-Led Data Work
Our delivery teams include industry specialists who understand supply chains, lab operations, financial controls, and store systems.
Ties That Go Beyond Tech
Our collaboration with Databricks product teams means we anticipate roadmap shifts, resolve issues faster, and co-develop the needed tailored approaches.
SAP Databricks — A Distinct Offering.
Databricks, as deployed within SAP Business Data Cloud, present a unique environment where SAP data remains within bounds but becomes available for meaningful external analysis.
YASH helps clients:
- Access SAP data products without replication.
- Combine structured SAP data with operational or third-party sources.
- Analyze and publish results back into the SAP landscape.
- Work within familiar identity and policy boundaries (SSO, managed resources).
Partnership Depth. Delivery Discipline.
YASH is a certified Databricks partner with a delivery footprint spanning AWS, Azure, GCP, and SAP landscapes. Our Databricks COE includes trained specialists in data engineering, machine learning, platform governance, and observability.
Assessment to Execution Alignment
Advisory and delivery inform each other. Whether it’s a proof of value or a system-wide shift, we frame workstreams around measurable context and operational metrics.
Reusable Building Blocks
Our portfolio of tested assets includes provisioning scripts, configuration patterns, monitoring templates, and ML deployment packs — each modular, audited, and adaptable.
Hands-on Partnership with Databricks
From co-designed workshops to joint escalations, we coordinate closely with Databricks teams — sharing early access, resolving blockers, and tailoring features for complex use cases.
Proven Implementations
We’ve delivered production-grade Lakehouse environments, Delta Lake transformations, and end-to-end platform rollouts across industries with varied data governance requirements.
Let’s Have a Concrete Conversation.
We’re less interested in abstract visions and more in practical constraints, current limitations, and what needs to be built next. If that sounds like your approach, too, let’s connect.