DataCode

Services

Six engagements, and what each one actually delivers.

Every one of these is scoped as a fixed deliverable rather than a stream of hours, so you can tell what you are buying before you buy it.

01

Informatica Exit Assessment

Fixed fee · 3 weeks

The paid front door. You end it knowing exactly what you own, what it costs to move, and what it costs to stay.

  • A complete inventory of the estate — every mapping, workflow, session and schedule.
  • Each object classified by conversion difficulty, with the ones that will not convert automatically named individually.
  • A costed target architecture: IDMC, Azure-native, or a split, with the reasoning shown.
  • A wave plan with effort, sequence and dependencies.
  • A migrate-versus-stay cost comparison including extended-support exposure.

The fee is credited against the migration if you award it within 90 days.

02

PowerCenter → IDMC Conversion

Fixed fee per wave, or time and materials

The migration itself, run by the people who have done it three times.

  • Mappings, workflows, sessions and parameter files converted and rebuilt.
  • Scheduler dependencies migrated, including Control-M estates moving to cloud.
  • Row-level parity testing between the retired pipeline and its replacement.
  • Change-data-capture and PowerExchange source reconnection.
  • Runbooks and documentation written as the work proceeds, not retrofitted.

Delivered wave by wave so the estate is never in an all-or-nothing cutover.

03

Informatica → Azure Integration Modernization

Programme

For estates leaving Informatica entirely rather than moving to its cloud. This is the work we are running right now.

  • On-premise integration estate retired onto Azure Logic Apps, Service Bus, API Management, Key Vault and Integration Account.
  • EDI and X12 trading-partner onboarding rebuilt on Azure Integration Account.
  • Managed file transfer and B2B exchange processes replatformed.
  • Master data on Dynamics 365 and Dataverse where it fits.
  • Azure DevOps CI/CD deploying every integration artifact across environments.

On the programme running now, the replacement carries over 250 production integration workflows and runs at roughly 58% of the annual cost of the licence it is retiring — while funding full DEV, QA and PROD environments that licence never covered. Measured in production in August 2026, with the programme still in flight.

04

Cloud Data Platform & Lakehouse

Programme

Somewhere worth migrating the data to — modelled, tested and governed.

  • Microsoft Fabric and OneLake, or Synapse, on Azure.
  • S3, Redshift and Glue on AWS, including Informatica Cloud to S3 to Redshift pipelines.
  • Dimensional modelling that will still make sense to the team in five years.
  • Spark and PySpark transformation at volume.
  • Data quality, error handling and observability built in rather than bolted on.

Architected a 2.5-billion-row, 600-column analytics platform; consolidated 23 trading systems into a single risk view.

05

AI-Assisted Delivery Enablement

Fixed fee · 3–6 weeks

We stand your own team up on the way we work, so the acceleration outlives us.

  • Project instruction files that encode your standards, so generated code arrives in your house style.
  • Reusable agent skills for the conversion patterns specific to your estate.
  • Review gates wired into your pipelines — nothing reaches an environment unreviewed or unversioned.
  • Context and cost discipline, so the tooling stays economic at estate scale.
  • Hands-on enablement for your engineers, not a slide deck.

The highest-leverage engagement we offer, and the one most clients do not know to ask for.

06

Managed Run & Automated Production Support

Monthly retainer · US business hours

The team that built it is the team that supports it. Most migrations end with a handover to people who have never seen the system — this one does not have to.

  • Scheduler and pipeline operations — Control-M estates and Azure integration workloads, monitored and run.
  • Failure triage with AI-assisted root-cause analysis against the estate’s own definitions, not a generic runbook.
  • Runbooks generated from the estate itself and kept current as it changes, rather than written once and left to rot.
  • Fixes shipped through the same versioned pipelines as the original build — reviewed, reproducible, rollback-able.
  • A monthly report of what broke, what was changed, and what is accumulating into a problem.

Scoped to US business hours. We are not going to sell you round-the-clock cover we cannot staff to the same standard as the rest of the work — where you need it, we will say so and help you scope it properly.

07

Senior Engineering Capacity

Hourly · direct or through your integrator

A senior engineer on your programme, or behind your system integrator’s, with vetted consultants working to them.

  • A named senior engineer leading, and everyone else on the engagement named before they start.
  • Available as a subcontract to system integrators and staffing partners.
  • Consultants trained into our delivery method and vetted by a founder — never somebody who was simply available.
  • A named senior engineer accountable on every engagement.
  • EU delivery capacity behind them where your agreements permit it; US-only where they do not.

We work as a subcontractor to larger integrators regularly and are comfortable with your paperwork.

Questions we get asked before signing

You are a small firm. Why would we hire you over a large integrator?
Because the senior name on our proposal is the person in your repository. At a large firm it is not, and everybody involved knows it. Our founders have led these migrations themselves, a senior engineer leads every engagement we take, and anyone working to that lead has been vetted by a founder rather than assigned by a resourcing spreadsheet. We are the right choice when you want that experience applied directly, and the wrong choice when you need forty bodies next month — in which case we are happy to work behind an integrator who has them.
Where is the work actually done?
The practice is based in Fort Lauderdale, Florida, and every engagement is deliverable entirely within the United States — that is the default, and it is what we assume unless you tell us otherwise. One founder is in Poland, so where your agreements permit it we also have EU capacity behind us, which most clients find an advantage: GDPR applies directly, Article 28 processor terms and EU-enforceable IP assignment are the default, and the working day overlaps the US East Coast by three to five hours. Where your agreements restrict processing to the United States — common in healthcare, financial services and anything federal — we deliver US-only and price it separately. We will never quietly route your data somewhere your contract forbids.
How do we know AI has not silently changed our business logic?
Because we test it against the system it replaces. Row-level parity testing between the old pipeline and the new one is part of every conversion wave, and the results are yours. Nobody has to take the AI on faith, including us.
What automation percentage do you achieve?
We will not quote one before seeing your estate, and we would treat any firm that does with suspicion. Published figures for automated ETL converters cluster around 70% out of the box, and the remainder is the part that decides whether a migration lands. The assessment tells you what your specific number looks like.
Should we move to IDMC, or off Informatica entirely?
It depends on what your estate actually does, and the assessment is designed to answer exactly that. We have delivered both. IDMC is the shorter path and keeps the licensing relationship; Azure-native usually costs dramatically less to run but is a genuine rebuild. We will show you the numbers for both and we do not earn more from either answer.
Do you support the estate after it is migrated, or hand it over and leave?
Either, and it is your call. Most migrations end with a handover to a team that has never seen the system, which is how a clean cutover becomes a bad quarter. We offer a monthly managed-run retainer instead: scheduler and pipeline operations, failure triage with AI-assisted root-cause analysis against your estate’s own definitions, runbooks generated from the estate and kept current, and fixes shipped through the same versioned pipelines as the original build. It is scoped to US business hours — two people cannot honestly sell you 24/7 cover, and we would rather say so than find out together at three in the morning.
How is anything you build versioned and released?
Every artifact goes through Azure DevOps pipelines across environments — versioned, reviewed, reproducible, and rolled back if it misbehaves. The same discipline you would apply to application code, applied to integration code, which is still unusual in this corner of the industry. It is also what makes the managed-run offer possible: fixing something in production is the same reviewed, versioned path as building it in the first place.
Your site shows numbers from a migration. Whose work was that, exactly?
Zack’s. He led the data-integration workstream on the client’s own programme, in a lead architecture and engineering role, with a team of their developers and a business analyst — and before DataCode existed. DataCode as an entity has delivered no engagement yet, and if your supplier form asks for past performance performed by the supplier, that is the honest answer and we would rather give it now than have you find it in week ten. What the firm brings is the person who did that work and the method he used.
Can we speak to that client?
Not yet. We are seeking written naming and reference permission and we will tell you the day it lands. Until it does we will not name the client, publish their costs or describe their systems — and we would treat a vendor who did so about someone else as a warning about how they would treat us. What we can offer instead is a technical deep-dive: walk your architect through the migration mechanics, the parity approach and the cutover sequencing, on your estate, in as much depth as they want.
What does a migration like that cost us in your time?
We will not quote you a figure from someone else’s programme, and it is worth saying why rather than dodging it: that effort was not ring-fenced, so any hours number we gave you would be reconstructed rather than recorded, and we do not quote reconstructed numbers. What we do instead is size yours. The assessment produces a per-object effort model for your estate, classified by what converts, what converts partially, and what has no equivalent and has to be rebuilt. That third bucket is what destroys fixed-fee migrations, and it is invisible in an object count.
Who actually does the work when an engagement is bigger than a couple of people?
A senior engineer leads it and stays accountable for every artifact that reaches your environments — that does not change with the size of the engagement. Working to that lead are consultants trained into our delivery method and vetted personally by a founder, which is a deliberately different thing from being assigned by a resourcing spreadsheet: nobody joins because they were available. You get their names, in writing, before you sign, along with where they sit and what paperwork covers them.
What do you not do?
We do not do streaming-first architecture, infrastructure-as-code delivery, container platform work, or analytics-engineering transformation layers. We build the pipelines that feed those, and we will tell you when you need someone else rather than learning on your budget.