Data engineering & pipelines
Streaming and batch infrastructure for your operational, transactional, and product data — observable, idempotent, and built to last.
- dbt
- Airflow
- Spark
- Kafka
We're the data partner growing companies call when spreadsheets stop being enough — architecting the pipelines, models, and governance that turn raw operational data into decisions your team can act on this week.
From a focused sprint to a multi-year platform build — engagements are partner-led by senior practitioners who've built data infrastructure at companies just like yours.
Streaming and batch infrastructure for your operational, transactional, and product data — observable, idempotent, and built to last.
Customer 360, executive dashboards, and next-best-action models — with a metric layer your entire leadership team can trust.
Catalogs, lineage, data contracts, and access controls — operating-model design that keeps your business compliant without slowing engineers down.
Microsoft Fabric, Azure Synapse, and Databricks lakehouses — sized for mid-market budgets, hardened for compliance, portable across clouds.
Embedded engineers and analysts who run alongside your team day-to-day. Atlanta-led, with a senior delivery bench in India — and your data never leaves your US Azure tenant.
We don't ship discovery decks. Every phase produces working software, decisions on the record, and a path your team can run on their own once we're gone.
We embed with your team, map every data source, interview the people who live in them, and write a brief everyone can argue with.
We prototype the spine — schemas, data contracts, infra-as-code — until every choice is visible and the path to production is clear.
We run alongside your team until production is boring, then transfer ownership with runbooks, tests, and documentation — not a dependency on us.
Our anchor clients run on embedded delivery — senior engineers and analysts plugged in day-to-day. Alongside client work, we build reusable accelerators our network can deploy.
Operational data lived in seven places. Dashboards were built and rebuilt — never quite trusted because the numbers never agreed.
Embedded data-engineering and analytics team for a mid-size financial institution. Unified operational, transactional, and product data into a governed lakehouse — then built the customer 360, executive dashboards, and campaign analytics the business actually trusts.
A credit union's story is scattered across NCUA Call Reports, HMDA mortgage data, Census demographics, FDIC deposits, and labor data — six public datasets no executive has time to stitch together.
Credit Union Intelligence — a free suite that turns public data into decisions. Search any credit union for a plain-English State of Your Credit Union report — financial health, balance sheet, members, market whitespace. Then drop a pin on the market analysis map: demographics, bank-deposit landscape, market momentum, and every CU branch within any radius.
Your core banking system, lending platform, mortgage servicer, and origination system generate data that never meets. Every answer requires a different login.
A production-grade credit union data warehouse — core banking, consumer lending, mortgage servicing, and originations unified into a single star schema. 31 dbt models, 35 automated tests, four live executive dashboards.
The Data Element was founded in 2022 by engineers who'd spent a decade inside data teams that kept getting promised transformation but never got the infrastructure to back it up. We started the firm we wished had shown up.
Today we operate out of Atlanta, GA — architects, analytics engineers, BI developers, and governance specialists. Every engagement is led by someone who writes code on the project and can trace your data from source to dashboard.
Our clients span financial services, operations, and technology — from credit unions and community banks to logistics and SaaS companies building their first data platform.