Sound Familiar?
No data team yet
You have data scattered across tools. No one owns the pipelines. Your product team makes decisions on gut feeling because getting clean data takes too long. You know you need data engineering, but hiring is slow, expensive, and risky.
Data team is drowning
Your data engineers spend 80% of their time on pipeline maintenance, warehouse fires, and tooling issues. The work that actually moves the needle (new models, better analytics, data products) keeps getting pushed to next sprint. You didn't hire them to babysit infrastructure.
Data Engineering, Fully Managed
We take ownership of everything that touches your data: pulling it from your tools, cleaning it, making it reliable, and getting it to your team. You don't touch a thing. When something breaks, we fix it.
Think of it as a senior data engineering team embedded in your company, without the recruiting, the management, or the six-month wait.
All your numbers in one place
Sales, billing, marketing, support, product. We pull data from every tool you use and bring it together in one place, refreshed automatically. No more copy-pasting from CSV exports.
Numbers you can trust
Every metric is documented, every source is checked, every change is tracked. Your team stops arguing about which dashboard is right, because there's only one.
It just works, quietly
When something breaks, we fix it. When costs creep up, we cut them. When something needs to scale, we scale it. You hear from us when it matters, not for noise.
EXAMPLES
What we typically build
Most of what we do for clients looks like this. Three small examples to make it concrete. Your situation will be different, but the shape is similar.
One dashboard for revenue
Your Stripe payments, your invoicing tool and your accounting numbers reconciled into one revenue dashboard. Refreshed every morning. Same number for everyone, no more "whose spreadsheet is right?".
Spot churn before it happens
We pull product usage from your app and conversation history from your support tool. We flag accounts that have gone quiet for 30 days. Sales hears about it before the customer cancels, not after.
An alert when something looks off
We watch the metrics that matter (signups, payments, key integration health) and alert the right person the moment one of them breaks pattern. The CFO doesn't discover the broken thing two weeks later at the monthly close.
Something that looks like your situation? Let's talk.
How It Works
Subscribe
30-minute discovery call, written proposal within 48 hours with scope and a flat monthly rate. Most engagements go live within a week. No 3-month onboarding.
Prioritize
You drop everything you need into a shared backlog. We pull one item at a time and ship it end-to-end before moving to the next. No "ten things half-done", no chasing for updates. The next thing happening is always clear.
Ship
Each item goes live. You validate, then it's done. We handle the running, the monitoring, and any incidents that come after. The next item moves up the queue automatically.
PRICING
Pricing that doesn't surprise you
Flat monthly rate, tied to scope, not hours. Add a pipeline, the rate goes up. Add a second one, it goes up by less. Trim scope, the rate comes down. You always know what next month's invoice looks like before next month starts.
Flat monthly, never hourly
Sub-linear pricing: more scope, better effective rate
Adjust up or down whenever your needs change
No SOWs, no change orders, no procurement loops
The exact rate depends on your scope. Ask for a proposal to see your number.
Ready to offload your data infra?
Clear proposal within 48 hours. No sales pitch.
Get Your ProposalOr email us directly: [email protected]
The Alternatives, And Why They Fall Short
| Hiring | Agency | Freelancers | Jelzia DEaaS | |
|---|---|---|---|---|
| Ramp-up time | 3-6 months | Weeks of scoping | Depends | Days |
| Management overhead | Full | Heavy | Constant | None |
| Knowledge continuity | Single point of failure | Team rotations | Starts from scratch | Persistent, documented |
| Scope | One person's bandwidth | Project-based | Task-based | Full stack ownership |
| Cost predictability | Salary + benefits + tools | SOWs and change orders | Hourly surprises | Flat monthly rate |
Everything Your Data Stack Needs
Pipeline development & maintenance
Data warehouse setup & optimization
Data quality monitoring & alerting
Schema design & documentation
Data governance & access management
Incident response & resolution
Cost optimization & scaling
Migration & modernization support
Powered by JDP (Jelzia Data Platform), our internal tooling for faster delivery and reliable operations.
Built For
- Data teams stretched too thin: too much infra, too little time for the work that matters
- AI teams that need reliable foundations: models are only as good as the data beneath them
- Product teams that depend on clean data: to ship features, not fight pipelines
- Companies that work with data: but can't justify a full-time data engineering hire
Your data stays yours
We run the platform. You own the data, throughout the engagement and on the way out. It sits in your account, on storage you nominate. We never use it for anything except the work you asked for.
Cancel anytime. On exit, you choose: export to a destination you pick, delete in place, or transfer. Your call, your timeline.
Frequently Asked Questions
We don't do audits and leave you with a PDF. We own your data stack on an ongoing basis. Think of us as your data engineering department, not your consultants.
Solution work, not technical bricks. A few examples: connecting a Stripe account and a CRM into one revenue dashboard; setting up an alert when daily signups drop below normal; migrating reporting out of Excel into a real warehouse the team can trust; building a churn early-warning view that combines product usage and support tickets; reconciling data from multiple regions into one source. If you can describe the outcome, we can scope the work.
Even better. We take the infrastructure work off their plate so they can focus on the high-value work: analytics, ML, data products. We complement, not replace.
We're stack-agnostic. Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow, Fivetran: we work with what fits your situation, not what we prefer.
After a discovery call and proposal, we can typically begin within a week. No 3-month onboarding. No procurement gauntlet.
We have a short discovery call to understand your data landscape. Within 48 hours, you get a clear proposal: scope, deliverables, flat monthly rate. No back-and-forth for weeks.
Yes. This is a subscription, not a contract prison. Month-to-month, adjustable any time. We want you to stay because it works, not because you're locked in.
You do, always. Throughout the engagement and on the way out. The data sits in your account, on storage you nominate. We run the platform on top of it, but the data is yours, never ours, and never used for anything except the work you asked for.
Subscription stops at the end of the current month. You then choose what happens to your data: export to a destination you nominate, delete it in place, or transfer it to whoever takes over. Your call, your timeline. No exit fee, no negotiation.
Other Jelzia services
One engineering team, two delivery models. Pick what fits the work.
Data and AI Engineering
Custom data systems and AI models for product, ops and analytics. Built once, owned by you.
Explore Data & AI →Custom Software
Web apps, APIs and domain tools when off-the-shelf does not fit your business.
Explore Custom Software →Your Data Stack, Handled.
Tell us about your data challenges. We'll send you a clear proposal within 48 hours: scope, deliverables, flat rate. No sales pitch. Just a straightforward conversation about what you need.
Or email us at [email protected]