DataFoundation — AWS Data Lakehouse Build & Pipeline Accelerator

Your Data Strategy Is Ready. Now Build the Platform That Delivers It.

DataVision gave you the roadmap. DataFoundation builds what's on it. This is the implementation engagement that takes your modern data strategy from architecture blueprint to a fully operational, production-ready AWS data lakehouse — delivering a trusted, scalable, GenAI-ready data foundation that your entire enterprise can build on. Most organizations that complete a data strategy engagement stall at implementation. The gap between a well-crafted roadmap and a live data platform is where transformation initiatives lose momentum, cost overruns occur, and data debt compounds. DataFoundation eliminates that gap with a structured, sprint-based build engagement led by TruVs data engineers and architects — delivering your lakehouse in weeks, not quarters. What DataFoundation Builds: Medallion Architecture — Bronze, Silver, Gold Data Layers: Your lakehouse is structured as a proven three-layer Medallion architecture on Amazon S3: Bronze (raw ingestion — all data preserved as-is from source systems), Silver (validated and conformed — cleansed, deduplicated, and joined into enterprise-wide entities), and Gold (consumption-ready — enriched, aggregated, and optimised for analytics, BI, and AI workloads). The medallion architecture guarantees atomicity, consistency, isolation, and durability as data passes through multiple layers of validations and transformations before being stored in a layout optimised for efficient analytics. Multi-Source Data Ingestion Pipelines: Automated ingestion pipelines connecting your ERP, CRM, operational databases, SaaS applications, and flat file sources into the Bronze layer — supporting batch, micro-batch, and streaming patterns using AWS Glue ETL, Amazon Kinesis, and AWS Database Migration Service. Pipelines are built code-first, version-controlled, and DataOps-enabled from day one. Data Catalog & Metadata Foundation: AWS Glue Data Catalog setup as the central metadata repository — cataloguing every table, schema, column, and lineage relationship across all three lakehouse layers. Integrated with AWS Lake Formation for fine-grained, role-based access control ensuring only authorised users and services reach sensitive datasets. Analytics Query Layer: Amazon Redshift or Amazon Athena configured as your primary analytics consumption layer — enabling self-service SQL queries, BI tool connectivity (Amazon QuickSight, Tableau, Power BI), and data science workbench access (Amazon SageMaker) directly against your Gold layer data without additional data movement or duplication. GenAI-Ready Data Foundation: The lakehouse is architected from the outset to support Amazon Bedrock Retrieval Augmented Generation (RAG) patterns — ensuring your enterprise data is structured, catalogued, and governed in a way that AI agents can safely access and reason over, without requiring a costly rearchitecture later. DataOps Pipeline Framework: A CI/CD pipeline for data engineering — using AWS CodePipeline and AWS CodeCommit — so that new data sources, pipeline changes, and schema evolutions are deployed through a repeatable, tested, governed development workflow. Includes automated pipeline monitoring and alerting via Amazon CloudWatch.

Deliverables You Walk Away With:

• Production-ready AWS data lakehouse (Bronze / Silver / Gold on Amazon S3)
• Ingestion pipelines for agreed source systems (ERP, CRM, databases, files)
• AWS Glue Data Catalog with metadata, lineage, and tagging
• AWS Lake Formation access control policies and data governance baseline
• Amazon Redshift or Athena analytics query layer with initial dashboards (Amazon QuickSight)
• DataOps CI/CD pipeline for ongoing data engineering
• Amazon CloudWatch monitoring and alerting setup
• Architecture documentation and knowledge transfer package

Typical Engagement Duration: 6–12 weeks depending on the number of source systems, data volumes, and complexity of transformation logic.

Designed as the natural continuation of the DataVision — Modern Data Strategy Accelerator engagement, DataFoundation is also available as a standalone implementation service for organisations that already have a defined data architecture strategy and are ready to build.

All engagements are led by TruVs certified AWS data engineers and architects with deep expertise in lakehouse architecture, DataOps, and enterprise data platform delivery. Contact ask@truvs.com  for scoping.