Mon – Fri · 9 AM – 6 PM EST Cornelius, NC
[ IT / 02 ] · IT Service

Big Data & Analytics

Modern data pipelines, warehouses, and BI platforms. We build the analytics infrastructure that lets your team ask better questions — and get answers in seconds, not days.

Outcomes, not just deliverables.

Single source of truth

One trusted data layer where every team's numbers reconcile. No more arguments about whose dashboard is right.

Real-time insights

Streaming pipelines that surface anomalies, opportunities, and customer signals as they happen.

Self-serve analytics

Tools and training so business users can answer their own questions without queueing for the data team.

Cost-efficient at scale

Architectures that don't blow up your cloud bill when data volumes 10x.

A complete big data & analytics engagement.

/ 01

Data Strategy

Assessment of your current state, target architecture roadmap, and tooling recommendations grounded in your actual workload.

/ 02

Pipeline Engineering

Ingestion, transformation, and orchestration with modern ELT tools — Airflow, dbt, Kafka.

/ 03

Data Warehousing

Snowflake, BigQuery, or Redshift implementations with dimensional modeling that scales.

/ 04

BI & Dashboards

Tableau, Looker, Power BI, and Metabase implementations with curated datasets and trained users.

/ 05

ML Feature Engineering

Production feature stores and pipelines that feed your machine learning systems reliably.

/ 06

Data Governance

Lineage, quality monitoring, access controls, and compliance documentation.

The tools we trust in production.

Snowflake BigQuery Apache Spark Apache Kafka Airflow dbt Databricks Looker Tableau Power BI PostgreSQL Python / Pandas

A clear path from kickoff to launch.

01

Discovery

Map your data sources, understand the questions you need to answer, audit current quality.

02

Design

Pipeline architecture, warehouse schema, governance plan. Documented before anything is built.

03

Build

Ingestion pipelines, transformations, models, and dashboards — delivered in working increments.

04

Launch & Support

Go-live with monitoring, runbooks, training sessions, and ongoing optimization.

Common questions.

We're drowning in spreadsheets. Where do we start?
Most clients start with a 2-week data assessment — we map your sources, identify the highest-impact questions you can't answer today, and produce a written roadmap with cost estimates. No commitment beyond that.
Do you build on our existing tools or replace them?
Whatever serves the business best. If your existing warehouse works, we'll build on it. If it's the bottleneck, we'll propose a migration with a clear ROI case.
How do you handle data security?
Every pipeline is built with encryption at rest and in transit, role-based access controls, and audit logging. We can align to SOC 2, HIPAA, GDPR, or PCI-DSS depending on your industry.
Can you train our team to maintain what you build?
Yes — knowledge transfer is built into every engagement. We deliver runbooks, pair-programming sessions, and quarterly office hours after go-live.

Ready to talk about big data & analytics?

A senior engineer will read your inquiry personally and respond within one business day with a tailored next step.