New Zealand · Data Engineering Specialists

AI requires
AI-grade data.
Your current architecture
is a liability.

Enterprise AI initiatives are failing, cloud compute costs are spiraling out of control, and your BI dashboards are feeding executives garbage. High Performance DataLabs fixes broken data systems before they bankrupt your IT budget.

The platform matters less than the strict engineering discipline applied to it.

Azure AWS Databricks Microsoft Fabric Snowflake

The Four Failures Crippling Your Business Today

These are the problems that keep decision makers awake at night. High Performance DataLabs is built to solve them at the root.

1

AI Starvation

AI initiatives stall because the data layer isn’t ready. Models wait. Pilots fail. Competitive ground is lost. AI requires pristine data engineering. If your underlying data platforms are fragmented and in disarray, your entire AI strategy is in jeopardy.

HPDL fixes the data foundation so AI can actually move.

2

OpEx Burn

You are paying your cloud provider for petabytes of idle storage and wildly inefficient compute. You do not have a scale problem; you have an architecture problem. You are bleeding OpEx.

HPDL strips out architectural waste and delivers production-grade data pipelines that run lean, report accurately.

3

Compliance Exposure & Regulatory Liability

Blind spots and the failure to comply with security and governance frameworks create massive executive risk. Opaque lineage, audit failures, and security shortcuts mean the movement, storage, and access to sensitive enterprise data are insecure and unlogged.

HPDL makes data movement visible, controlled, and defensible.

4

Silent Failure

Bad data reaches customers, operations, or regulators before anyone notices. Bad data quality causes reputational damage. You pay premium enterprise licensing fees for modern BI tools, yet your operations are still siloed and run on manual Excel Spreadsheet Farms.

HPDL detects, contains, and repairs data issues before they become business problems.

The visible symptom

Spiraling costs and diminishing returns.

Cloud bills climb while delivery slows. The four problems above are the root cause — cost is what leadership sees first.

The Solution

High Performance DataLabs

Stop handing critical enterprise infrastructure to junior developers and generic IT contractors. With 25 years of specialized Data Architecture and BI Engineering experience, we do not build basic pipelines. We execute enterprise rescues.

Core Executive Services

Focused, high-leverage engineering — not another generalist consultancy.

Data FinOps Remediation

A strict three-week technical sprint to slash your compute costs across your cloud providers. Stop paying for assessments—start recovering cash.

  • • Self-funding execution sprint
  • • Architectural bloat removal
  • • Immediate, measurable OpEx reduction

Zero-Downtime Pipeline Rescue

Fragile data pipelines cause silent business outages, delayed reporting, and operational blind spots. We tear down failing infrastructure and rebuild it for absolute precision and scale.

  • • Zero operational downtime.
  • • Resilient, self-recovering architecture
  • • Guaranteed SLA enforcement and precision timing

Enterprise Risk & Data Governance

Continuous detection, alerting, and automated repair of data quality issues. We enforce compliance and risk reduction so bad data never reaches regulators or the C-Suite.

  • • Automated data quarantine and isolation
  • • Regulatory defensibility and complete audit lineage
  • • Executive-grade single-source-of-truth reconciliation

Enterprise AI Infrastructure

We build the pristine, secure data foundation required for enterprise AI initiatives to actually function in production and deliver actual commercial value.

  • • Absolute data fidelity for model feeding
  • • Proprietary data security and ring-fencing
  • • Structural deployment readiness
  • •
High-Stakes Architecture

Zero-Downtime Legacy Migrations

Surgical moves from long-running on-premise systems to modern lakehouses. We build automated reconciliation engines and idempotent cutovers so the business keeps running.

01

02

03

04

Selected Work

Hard engineering outcomes for New Zealand enterprises. Zero anonymized filler.

EQC Logo
Earthquake Commission (EQC)

Mass-Scale Reconciliation for Risk & Audit

Architected massive-scale automated data reconciliation frameworks covering thousands of tables. Delivered absolute data fidelity for national risk and audit management.

20B+ Records Validated 3,500+ Tables
First Mortgage Trust Logo
First Mortgage Trust

Zero-Downtime Legacy CRM Migration

Re-engineered 30-year legacy account-centric models into scalable relational structures. Built validation frameworks guaranteeing 100% data parity and zero loss during production cutover.

Legacy Decommissioning Zero Data Loss
Fidelity Life Logo
Fidelity Life Insurance

Forensic Data Remediation & Compliance

Engineered automated reconciliation processes to clean up historical base-data inaccuracies and resolve high-stakes data integrity incidents within complex legacy datasets.

Forensic Engineering Compliance Fixes
Enterprise Motor Group Logo
Whakarongorau Aotearoa

COVID-19 vaccination rollout.

Managed the integration of multiple independently developed systems into a unified national reporting framework. Provided the single source of truth necessary for the government's national vaccination booking strategy.

Crisis Integration National Scale Delivery

Built for New Zealand conditions

HPDL is a specialist data engineering practice focused on the hard problems generalist consultancies often leave unfinished. Reliable, observable, timely, fully leveraged AI-ready data.

We work with mid-market and enterprise New Zealand organizations that have already invested in cloud infrastructure and compute — and now need those platforms to deliver under real operational pressure.

Small team. High ownership. Direct access to senior engineers who have shipped production systems at scale.

NZ
Based and operating in New Zealand
Focus:
Azure · AWS · Databricks · Snowflake · Fabric
Style
Short engagements · Clear outcomes · Full handover

Ready to stop firefighting pipelines?

Book a free 30-minute call. We’ll look at your current architecture and whether a focused engagement makes sense.

Book a 30-min Call →

Prefer to send a note first?





    Or email: info@hpdl.co.nz

    Zero-Downtime Legacy Migrations

    Lift-and-shift will
    break your
    cloud migration.

    Moving decades of undocumented on-premise systems to Azure Fabric or Snowflake requires surgical data engineering — not brute force.

    Stop paying to copy bad habits into the cloud.

    Migrating long-running on-premise SQL servers, undocumented packages and fragile ETL into a modern lakehouse without refactoring the architecture is how projects fail.

    1. Spiraling Compute Costs

    Legacy batch processes were never designed for cloud platforms. Full refreshes and inefficient patterns make cloud bills climb fast — often with little business value to show for it.

    2. Silent Data Loss

    Hardcoded scripts break on modern platforms, dropping records and corrupting executive reporting without triggering a single system alarm.

    The HPDL Migration Architecture

    We do not guess. We engineer metadata-driven bridges that guarantee 100% data fidelity between your legacy system and your new cloud platform.

    🏗️

    Immutable Audit Architecture

    We decouple your hard business rules from your historical data, providing a fully auditable, compliant historical load before we ever touch your presentation layer.

    ⚖️

    Automated Reconciliation Engines

    We build parallel-run verification frameworks that automatically reconcile billions of rows between the old and new systems. If a single cent drops, the pipeline flags it.

    🔄

    Bulletproof Production Cutovers

    We design the final cutover to be fully re-runnable. If an upstream source fails on go-live weekend, we simply restart the pipeline. No duplicate records. No rollbacks. No panic.

    Proof of Execution

    High-stakes migrations need senior architectural oversight, not junior hours. Selected outcomes from prior work of this nature:

    01

    Mass-Scale Reconciliation

    Risk and audit reconciliation engine validating 20B+ records across 3,500+ tables for a national entity — zero data loss during critical systemic transitions.

    02

    30-Year Legacy Decommissioning

    Forensic migration of a 30-year financial platform to modern CRM and cloud architectures for a major trust, preserving full historical lineage.

    03

    Multi-Source Consolidation

    17 fragmented healthcare databases consolidated into a unified enterprise warehouse with mapped metadata and automated schema-drift handling.

    The Engagement Model

    How we de-risk your move to modern data platforms.

    Weeks 1-3

    The Forensic Mapping

    We do not touch code until we map your existing data gravity. We profile legacy tables, identify undocumented dependencies, and design the target state metadata control framework.

    Weeks 4-12

    The Parallel Build

    We build the Azure Fabric or Snowflake architecture alongside your live environment. We run automated reconciliation checks daily until the new system matches the old system with 100% fidelity.

    Go-Live

    The Hard Cutover

    You switch systems with absolute mathematical certainty that your data is intact. We hand over the keys, the documentation, and the automated quality monitors.

    Do not bet your career on a lift-and-shift.

    If the migration fails, the business stops. Review the target architecture before committing to a high-risk path.

    Book a 30-min Call →

    Looking for modern pipeline work instead? Return to core HPDL services →