Engineering

Ship What Drives Results

If you've been burned by a vendor who disappeared after launch, a codebase only one person understands, or an "MVP" that quietly became permanent infrastructure — you already know the problem. We build it right and we fix it permanently. Always get the ROI.

Read the Technical Writing Let's Talk
What We're Actually Dangerous At

We Build Data Systems.

We specialize in centralizing all your data into a data lake, analyzing it, then putting out insights that will change your operations and streamline costs.

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Ingesting Data

Build and maintain ingestion pipelines from APIs, files, ad platforms, CRM exports, and webhooks into a single controlled landing zone.

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Cataloging Data

Define datasets, ownership, lineage, and naming standards so teams can find trusted tables fast instead of rebuilding the same queries.

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Dashboards & Reporting

Ship business dashboards with clear KPI definitions, role-based visibility, and scheduled reporting for leadership and operators.

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Analytics

Model funnels, cohorts, retention, and conversion performance with repeatable SQL logic and auditable metric layers.

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Sales Attribution

Connect touchpoints to outcomes so revenue can be tied to channels, campaigns, and sequences with defensible attribution logic.

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Call Analysis

Automate sales call listening. AI can help you transcribe and analyze calls so your managers can actually take action to fix the worst 20% of calls, instead of trying to find them like a needle in a haystack.

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Media Buying

Automate media buying. AI can help you optimize campaigns and allocate budgets effectively, ensuring maximum ROI and minimizing wasted spend.

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Sales Funnel Development

Enhance, streamline, and optimize everything from lead to conversion. Triage and enhance leads. Develop sales techniques. Systematize followup.

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Website Development

We build high-end JAMstack and SSR sites in-house — fast, SEO-ready, and built to last. Not a templated GTM site someone spun up in an afternoon. Real engineering, real performance, real ownership.

Technology We Like

Modern, Practical, Scalable.

We pick tools that ship quickly, scale cleanly, and are practical to maintain.

AWS logo
AWS
Nuxt logo
Nuxt
AWS Glue logo
AWS Glue
Apache Spark logo
Apache Spark
pandas logo
pandas
SciPy logo
SciPy
OpenAI logo
OpenAI
Claude logo
Claude
Competencies

Architectural Theory.

What core areas of systems design we pay close attention to.

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Big Data

Large data sets that need efficient processing are a must with many operations. The ability to shard, load and process data is the way of the future. You might as well get ready now.

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Identity & Access

Everyone thinks they understand auth until they hit multi-tenant access, SSO edge cases, and token refresh under race conditions at 3am. We've fixed the messes that result from people who thought they understood it.

Event-Driven Systems

A message queue is not a silver bullet. Most teams reach for it before exhausting simpler options — then drown in consumer lag, ordering guarantees, and poison-pill messages they never planned for.

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Data Contract Discipline

The #1 cause of production outages we inherit: someone renamed a field and nobody knew who was reading it. Typed schemas and fail-fast validation at the boundary are not optional extras.

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API Design

A GraphQL schema is not an architecture. We've cleaned up enough 'flexible' APIs that crashed clients on every minor change to have very specific opinions about what 'API-first' actually means.

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Deployment Reliability

If your deployment process requires a human to babysit it, you don't have a deployment process — you have a liability. Environment isolation, rollback paths, promotion gates.

How We Think

Idioms that we stand by.

Everyone has principles until they require saying no. These are some valuble sayings we picked upon the way that keep us in check

Software is an investment in capability.

The biggest cause of software adoption failure, is only solving the "now" problem and not solving the "5 years from now" problems.

There is a lot of money to be made solving tomorrows problems today.

Solving yesterday's problem today is called debt, solving today's problems today is called rent and neither are profitable. Solving tomorrow's problems today is called investment and investment is how 100% of rich people got rich.

Complexity is inevitable, confusion is a choice.

Most systems are overbuilt because simple solutions don't generate consulting hours. We'll tell you when you don't need the distributed event-sourced microservice architecture someone is trying to sell you.

Agile exists to keep teams together, teams don't exist to keep agile together.

Sprints, velocity points, and grooming ceremonies are not engineering discipline. Shipping working software on a predictable cadence is. We care about the second thing.

If it broke at 2am, it was already broken at 2pm.

Operational failure is a design decision that got made earlier and deferred. We push that conversation to the beginning of the project — before you've built something that can't be fixed cheaply.

A codebase only one person understands is a hostage situation.

We don't write hero code. We write code other engineers can modify without calling us first. If your last vendor can't say the same, you've been robbed slowly.

Your tech debt isn't bad luck. Someone decided it wasn't their problem.

Debt is a choice with compounding interest. We name it, scope it, and address it — or we tell you honestly that we won't participate in pretending it isn't there.

The senior engineer in every meeting is a junior engineer with a full calendar.

Meetings produce the appearance of progress. We protect deep work time because that's where the actual product comes from.

A junior engineer with a full calendar and a heart of gold, does not a senior engineer make.

We run into way too many junior's architecting complex stacks because someone was trying to save money. Nothing is more costly - or unfair.

Technical Writing

Book of Crush

Our playbook for senior engineers who want to build data systems that last. It's a collection of case studies about real production failures we've inherited, and how we fixed them permanently. Unfortunatnly the internet is full of people exploiting beginners for "educaiton". So much so that senior topics often get burried. Book of crush is written for engineers who are already past the tutorials and want to think about the best produciton solutions.

Schema design, indexing, connection pooling, read replicas, query performance. The things that make real systems slow, fragile, and expensive — explained with our opinioned spin.

2 kinds of companies

Some people know what they want to build, but can't find the right people to build it. Some people know they have a problem, but don't know how to solve it. Which one are you? If you're ready to ship something that moves the needle, before you sign a contract, before you start a project, before you write a line of code, and before you've spent six months on it — let's talk.

Get in Touch About JMUS