01
Data Engineering & ETL
Pipelines that pull from the systems you actually use — APIs, SFTPs, exports, legacy databases — and land clean, queryable data where your team needs it.
Python · Airflow · dbt · Spark · AWS Batch
Nightgrid Systems builds custom pipelines, internal apps, dashboards, and automation tools that turn messy business workflows into clean, usable systems.
A focused set of capabilities, picked because they're the things that actually move teams off duct-tape workflows. Engagements are scoped tight and shipped to production.
Pipelines that pull from the systems you actually use — APIs, SFTPs, exports, legacy databases — and land clean, queryable data where your team needs it.
Lightweight, purpose-built tools that replace the spreadsheet-plus-email workflows your team has been forced to invent. Built fast, scoped tight.
Reporting that answers the question, not the technically-related question. Clean data models behind dashboards your stakeholders will actually open.
The job nobody wants to do, every day, forever — handed off to a small script and a schedule. Boring on purpose, reliable by design.
When the legacy stack can't be replaced — or can't be replaced this year — we bridge around it. Read-only mirrors, sidecar services, scheduled extracts.
Practical models and analyses that move a real business decision, not deck-fodder. Forecasts, segmentation, entity matching, and the rest.
Every project below describes something a real team gets back: hours, accuracy, optionality, a sane reporting layer. We don't sell capability decks — we ship working systems.
If a critical workflow runs on a shared Google Sheet with seven tabs and a macro nobody remembers writing, we'll replace it with something an auditor wouldn't blink at — without spinning up a six-month enterprise project.
Your CRM, your billing platform, your warehouse, your ops tool, your 2014 SQL Server. They can be one coherent layer. We build the pipes that make that real.
Not every internal need is forever. We're happy to ship a six-month hosted tool to bridge a launch, an audit, or a migration — and just as happy to build something you'll run for a decade.
One source of truth, defined columns, documented logic. Dashboards stop disagreeing with each other. Leadership stops asking why two teams have different numbers.
We work in weeks, not quarters. No discovery decks. No three-tier governance committee. Talk to the engineer who's going to build it, define scope, ship.
The same rhythm every engagement, sized to whatever the project needs — a week or a quarter.
We sit with the people doing the work, trace the data, and write down what the system actually looks like — not what the org chart says it looks like. The deliverable is a one-page diagram and a list of the things that are quietly on fire.
Tight scope, real engineering. We build against the messy reality found in step one — not a sanitized version of it. Production code, source-controlled, documented.
The people who'll use it daily get hands on it before launch. We watch them use it. The things that break, get fixed; the things that confuse, get redesigned.
Deployed to your infrastructure (or ours, if that's what you need). Runbook included. We're available afterward, but the system isn't held hostage to a retainer.
Anonymized snapshots of the kinds of engagements that recur — to give you a sense of scope, not to recite a portfolio.
A 14-year-old MSSQL system became the source of truth for an exec dashboard. Read-only replica, transformation layer, documented metrics, daily refresh — no touching the prod system.
A nine-month customer-intake portal built to bridge a partnership launch while the long-term system was being procured. Auth, form logic, audit log, CSV exports. Decommissioned cleanly when the enterprise tool went live.
Replaced a Monday-morning ritual of pulling four exports and pasting them into a deck. Now a scheduled job assembles the same numbers, renders the same charts, and emails them out before anyone's awake.
A customer list spread across three systems with no shared key. Probabilistic matching, manual-review UI for edge cases, and an exported gold-record dataset feeding marketing and finance.
Nightgrid is built around the idea that most companies don't need another platform recommendation. They need someone to sit down with the messy reality of how work actually happens, and build the missing pipe, app, or report that finally makes it run.
The work is grounded in years of production data engineering, MLOps, and internal-tools experience — building the kind of quiet, reliable systems that nobody notices because they just work.
Engagements are scoped tight, communicated plainly, and shipped end-to-end. You'll talk to the engineer who's going to build it. There is no account team. There is no statement of work three layers thick.
One conversation, no deck. Tell us what's broken and we'll tell you whether we can help — and if not, who probably can.