Services/Data Infrastructure
Data Infrastructure for Construction

Your data infrastructure.Built or managed.

We design, build, and operate modern data platforms for construction — Databricks lakehouses, SQL Server modernization, ingestion from P6, Procore, Bluebeam, Aconex, and your ERP, Unity Catalog governance, and Bronze → Silver → Gold curation. Hand it off to your team — or let us manage it for you ongoing. Your call.

What We Deliver

Migration off Excel and legacy SQL Server
Databricks lakehouse with Unity Catalog
Bronze → Silver → Gold data curation
Live feeds from P6, Procore, Aconex, ERP
Full knowledge transfer — your team owns it
AI-ready architecture from day one

Where Excel Breaks. What You Get Instead.

Most construction companies run their business on spreadsheets and email. It works — until it doesn't.

Where Excel breaks

PMs each maintain their own copy of the cost report
Schedulers manually export P6 to Excel every week
Doc control runs on emailed spreadsheets
Field crews can't see the same numbers as the office
No audit trail when numbers change overnight
Spreadsheets break at portfolio scale — formulas drift, links die
Can't feed AI or analytics — there's no clean source

What you get instead

Single source of truth across every project and division
P6 schedules synced to the warehouse daily, automatically
Doc control logs versioned, queryable, and auditable
Field and office see the same numbers in real time
Every change tracked — full lineage and history
Scales from one project to your full portfolio
AI-ready foundation — every agent and model has clean data

Three Pillars of The Platform

Every engagement combines all three — but we always lead with whichever is causing the most pain today.

Platform Migration

Excel → SQL → Databricks

The journey from spreadsheets and legacy SQL to a modern lakehouse. We design the target architecture, build it on Databricks, migrate your data with parallel validation, and cut over with zero downtime. Most clients are off Excel for their key workflows within 60 days.

Excel & legacy file-share consolidation
On-prem SQL Server → Azure SQL / Databricks
Lift-and-shift or full re-architecture — we recommend based on tradeoffs
Parallel run with reconciliation at every layer

Tool Integration & Ingestion

P6 · Procore · Bluebeam · Aconex · ERP

Daily, hourly, or streaming feeds from every tool your projects touch. We build the ingestion layer that pulls scheduling, doc control, drawings, field reporting, and accounting into one governed data layer — automatically, without anyone exporting to a spreadsheet.

Primavera P6 (XER/XML) parsing and write-back
Procore, Bluebeam, ACC, BIM 360, Aconex APIs
Sage 300 CRE, Viewpoint Spectrum, CMiC ERP
Field apps (HCSS, Raken, Fieldwire) and email ingestion

Governance & Curation

Unity Catalog · RBAC · Bronze/Silver/Gold

Once data is flowing, governance is what makes it trustworthy. We implement Unity Catalog for access control, row-level security by project or division, medallion architecture for data quality, and lineage tracking so every number can be traced to its source.

Unity Catalog with project / division / owner RLS
Bronze → Silver → Gold medallion curation
Data quality monitoring with Great Expectations / Delta constraints
Lineage tracking from raw source to executive dashboard

Medallion Architecture — Bronze → Silver → Gold

The data curation pattern we apply on every engagement. Raw source data on one end, executive-ready datasets on the other — every layer auditable and traceable.

Bronze
Raw ingestion

Every export, API call, and file landed exactly as received — P6 XER files, Procore JSON, daily report PDFs, accounting extracts. Immutable, audit-friendly, the system of record for what came in.

Examples
P6 XER snapshots
Procore API payloads
Aconex transmittals
Daily reports (PDF/email)
ERP exports
Bluebeam markups
Silver
Cleansed & joined

Validated, deduplicated, normalized. Projects, WBS, cost codes, and crew identifiers reconciled across tools. The layer where business entities take shape — Project, Activity, Cost Code, RFI, Submittal — usable for analytics and joins.

Examples
Project master
Cost code dimension
Crew & equipment registry
RFI / submittal logs
Activity-level schedule
Sub commitment ledger
Gold
Curated business layer

Executive-ready datasets. Project P&L, schedule SPI/CPI, productivity benchmarks, safety scorecards, portfolio rollups. The layer Power BI dashboards, ML models, and AI agents query directly.

Examples
Project P&L (forecast at completion)
Schedule SPI / CPI
Crew productivity benchmarks
Safety leading indicators
Portfolio health metrics
Owner reporting datasets
Our Recommended Target Platform

Why We Build On Databricks

We're platform-agnostic — but Databricks is what we recommend for construction operations of any meaningful scale. Here's why.

Lakehouse, not data lake

You get the structure of a warehouse and the scale of a lake — without picking one or the other.

Unity Catalog for governance

One governance layer across every project, division, and data product. RLS, lineage, audit logs — built in.

Spark for any data scale

Whether you have one project or a hundred, the platform doesn't hit a wall. From GB to PB on the same architecture.

Delta Lake for trust

ACID transactions on the lakehouse. Schema enforcement. Time-travel queries. Your data is dependable, not "best effort".

ML & AI native

MLflow, Feature Store, and serverless model serving built in. Your AI agents and ML models run where the data lives.

Cost-effective at scale

Pay-per-use compute. Auto-termination. Spot instances. Production-grade platforms for a fraction of legacy warehouse costs.

Reference Architectures

Three starting points we adapt to your tool mix, project scale, and where you're starting from today.

Spreadsheet-to-Lakehouse

For contractors running their business on Excel and SharePoint. We replace the spreadsheet chaos with a Databricks lakehouse, ingest from your existing tools, and rebuild the reports your team relies on — so the migration feels invisible to the end users.

Excel & SharePoint inventory
Databricks lakehouse target
Tool integration layer (P6/Procore)
Power BI replacement reporting

SQL Server → Databricks

For organizations with deep SQL Server investments. We migrate transactional and reporting workloads onto Databricks, keep what makes sense in SQL Server, and bridge them with Azure Data Factory. AI-ready from day one.

SQL Server OLTP (operational)
Azure Data Factory orchestration
Databricks lakehouse target
Unity Catalog governance

Real-Time Field Reporting

When safety incidents, equipment failures, or productivity slips need to surface in minutes — not the next morning's report. Event-driven ingestion from field apps, streaming pipelines into Delta, and live dashboards for superintendents.

Event Hub / Kafka ingestion
Spark Structured Streaming
Delta Lake streaming writes
Live superintendent dashboards

How We Execute Migrations

A structured, risk-mitigated approach — from a single workflow off Excel to a full platform migration.

01

Current State Audit

We catalog every Excel file, SQL Server database, project archive, tool integration, and reporting workflow. Nothing gets overlooked — including the spreadsheets nobody admits to maintaining.

02

Target Architecture Design

Databricks lakehouse target, ingestion patterns per tool, medallion layout (Bronze/Silver/Gold), governance model with Unity Catalog. Full documentation before any code is written.

03

Parallel Run & Validation

Run source systems and the new platform in parallel. We validate every metric, every project, every cost code — until the new platform matches reality and your team trusts it.

04

Cutover & Handoff

Zero-downtime cutover. Runbooks, training, documentation. Your PMs, schedulers, and IT own the platform end-to-end — query, extend, and add to it without us.

Two Engagement Modes

Build it for your team. Or manage it for you.

Build & hand off. We design and build the platform, then train your team and hand it over — full documentation, runbooks, source code ownership. Your PMs, schedulers, analysts, and IT can query, extend, and add to it without us. No lock-in.

Or, managed services. If you'd rather not staff for data engineering, we run the platform ongoing — monitoring, pipeline health, model retraining, schema evolution, new tool onboarding. Monthly retainer, no surprises.

Additional Data Engineering Services

Cloud Migration

On-prem SQL Server and file shares → Azure / AWS with zero-downtime cutover

Project Security & Audit

Row-level security by project, owner, or division — with full audit trails

CI/CD for Data

DataOps pipelines with automated testing, deployment, and rollback

Data Quality Monitoring

Drawing-rev consistency, schedule-data drift, and anomaly alerting

Let's Move Your Operation Off Excel

Free 30-minute discovery call. We'll map your current data state — Excel files, SQL Server, project tools — and sketch the right architecture for where your operation is going. No pitch, just an honest conversation.