Expleo Databricks Consulting & Implementation on AWS

Enterprises are under pressure to modernize fragmented data estates, deliver trusted analytics faster and turn AI experiments into measurable business outcomes. Legacy warehouses, brittle ETL, disconnected governance and rising cloud costs slow that journey - and the path from BI to ML, Generative AI and enterprise agents should not create another isolated platform.

Expleo's Databricks Consulting & Implementation Services on AWS provide an end-to-end path to the Databricks Data Intelligence Platform - from estate assessment and target lakehouse architecture through governance, migration, reliable batch and streaming pipelines, and production ML and GenAI, with ongoing performance and cost optimization.

Start with a Lakehouse Readiness Assessment

Begin with a focused discovery engagement delivering a migration roadmap, target architecture blueprint, governance model and prioritized backlog. This assessment provides the foundation for scoping subsequent delivery phases and gives stakeholders a clear view of effort, risk and expected outcomes before committing to build.

Data Engineering and Analytics

Expleo designs open lakehouse foundations using Delta Lake and medallion (Bronze/Silver/Gold) patterns. Lakeflow Connect, Auto Loader and Structured Streaming support batch, CDC and real-time ingestion; Lakeflow Declarative Pipelines, Spark and Photon enable scalable transformation; Databricks SQL powers analytics and BI; and Unity Catalog provides common governance for permissions, lineage, discovery, masking and audit.

Data Science and MLOps

Expleo supports the full lifecycle - use-case framing, feature engineering, MLflow tracking, model registration, deployment and monitoring - using Mosaic AI, Feature Store, Model Serving and Lakehouse Monitoring for repeatable MLOps on governed data.

GenAI and Agentic AI

Expleo takes organizations beyond proofs of concept with governed RAG and agent solutions built on Mosaic AI, Vector Search, Agent Framework and Agent Bricks, with evaluation harnesses, guardrails, human-in-the-loop controls and cost/quality monitoring.

Migration Factory

Our migration factory accelerates modernization from Teradata, Hadoop and Oracle through automated inventory, code conversion, dependency mapping and reconciliation - reducing manual effort and cutover risk.

FinOps and Cost Optimization

Our FinOps approach profiles workloads, right-sizes compute, applies cluster policies, serverless and Photon, and builds cost visibility from system tables with chargeback dashboards.

Phased Delivery Model

Delivery follows outcome-led phases:

• Assess and design - discovery, workload assessment, target architecture, migration roadmap, governance blueprint, value prioritization.
• Foundation - workspace and Unity Catalog setup, identity and access, CI/CD scaffolding, network and security, tagging and cost guardrails.
• Ingestion and engineering - batch, CDC and streaming; medallion modeling; Delta Lake; data-quality expectations; resilient orchestration.
• Migration and modernization - legacy dependency discovery, SQL/stored-procedure conversion, migration waves, reconciliation and rollback-safe cutover.
• Analytics and data products - Databricks SQL, curated Gold products, BI connectivity, lineage, quality SLAs, masking, Delta Sharing.
• Data science and MLOps - experimentation, MLflow, model registry, serving, monitoring and drift detection.
• GenAI and agentic AI - governed RAG, Vector Search, agent evaluation, guardrails, human oversight, deployment and LLMOps.
• Operate and scale - monitoring, incident and capacity management, FinOps, performance tuning, SLA management, new-domain onboarding.

Prerequisites and Scope

Buyers should have an active AWS account and a Databricks workspace (or intent to provision one). Expleo works with Databricks Premium and Enterprise editions. Buyers are expected to provide AWS account access, source-system credentials, and assign a product owner for decision-making. Expleo does not provide Databricks licensing; customers procure their own workspace tier.

Security and Governance

Expleo delivery follows AWS Well-Architected Security Pillar principles. Unity Catalog governance patterns include row/column security, dynamic masking, audit logging and lineage tracking to support regulated workloads.

Getting Started

Contact Expleo through AWS Marketplace to schedule a discovery call. The initial Lakehouse Readiness Assessment provides a signed-off architecture, migration roadmap and prioritized backlog - giving your team the artifacts needed for internal procurement justification before committing to full implementation.