DATA EXPERTISE

# AI-Enabled Data Engineering

We build data platforms that make AI possible, analytics trustworthy, and decisions faster. Because most organizations aren't blocked by a lack of data. They're blocked by data they can't trust, and no amount of AI investment fixes a foundation problem.

TRUSTED BY LEADING COMPANIES

## Trust Starts with High-Fidelity Engineering

You can't run a business on 'mostly accurate' data. As the **2025 Confluent Enablement Partner of the Year,** we bring the most certified data streaming team in the Americas to solve your most complex scale problems. That credential wasn't given to us. It was earned in production environments, for enterprise clients.

WHAT WE DO

## From Raw Data to Business Decisions, We Own Every Stage in Between

Most data problems that look like technology problems are actually architecture, governance, or trust problems. We've seen every version. Each engagement at Improving starts with an honest assessment of where your data foundation actually stands, then we build the right thing for the right stage.

[**Data Platforms →** \\
\\
Your data platform is either the foundation everything else runs on, or the bottleneck everything waits on. We build cloud-native lakehouse architectures, modernize legacy warehouses, and migrate fragmented systems into a platform teams can build on.](https://www.improving.com/expertise/data/data-platform-modernization/)

[**Data Engineering & Integration →** \\
\\
Data that sits in 15 different systems isn't usable data. We build the streaming pipelines, real-time integrations, and ELT architecture that moves data reliably from origin to destination, and keeps it moving.](https://www.improving.com/expertise/data/integration-engineering/)

[**Analytics & Intelligence →** \\
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Dashboards nobody believes aren't dashboards. They're noise. We build governed BI platforms and AI-powered analytics layers that give every team a single version of the truth they can actually act on.](https://www.improving.com/expertise/data/business-intelligence/)

[**Data Governance & Lineage →** \\
\\
Bad data doesn't announce itself. We build the governance frameworks and data lineage infrastructure that give your organization visibility into where data comes from, where it goes, and whether it can be trusted.](https://www.improving.com/expertise/data/strategy-governance/)

##### Most organizations have more data than insight. Not because the data isn't there. Because the foundation beneath it isn't ready. We meet you where you are and build toward where the business needs to go.

OUR PARTNER ECOSYSTEM

## The Platforms Your Data Teams Trust, Partners Built on the Same Foundation

Every platform in our data ecosystem earned its place through real delivery. We work with the tools your data teams already depend on, and we bring the certification depth to prove it. Here's how our ecosystem works across a full data engagement.

GOOGLE CLOUD · 2023

##### Canada Partner of the Year — Public Sector

Recognized for delivering measurable outcomes on Google Cloud for public sector clients across Canada. Validated by Google based on technical delivery, client impact, and certification depth.

[View All Partners →](https://www.improving.com/partners/)

STRATEGY & ASSESSMENTPLATFORM & ARCHITECTUREBUILD & ENGINEERANALYZE & OPTIMIZE

### Assessing Your Data Foundation

_Before a single pipeline is built_

Every data engagement starts with understanding where you actually are — not where you think you are. Our strategy-phase partners help us assess your current platform, identify gaps, and align on what the right architecture looks like for your specific scale and goals.

QUESTIONS WE'RE HELPING YOU ANSWER

- Where does your data live, and how trustworthy is it?

- Which cloud platform is right for your data workloads?

- What does a realistic 90-day data roadmap look like?

COMMONLY USED AT THIS STAGE

[**Microsoft**](https://maps.app.goo.gl/D7cT1LAsKALW5A1s5)

#### AWS

#### Google Cloud

TYPICAL DELIVERABLES

#### Data Maturity Assessment

#### Platform Selection

#### Cloud Strategy

#### 90-Day Roadmap

**Google Cloud Professional Data Engineer — expertise in cloud data strategy and platform architecture**

### Designing Your Data Platform

_The work most teams skip — and regret_

Architecture decisions made here determine everything downstream. Our platform-phase partners help us design lakehouse architectures, cloud-native data platforms, and governance frameworks that scale with your business — not just your current data volume.

QUESTIONS WE'RE HELPING YOU ANSWER

- Lakehouse, warehouse, or hybrid — what's right for your workloads?

- How do you govern data across teams without slowing them down?

- What does an AI-ready data model actually look like at your scale?

COMMONLY USED AT THIS STAGE

#### Snowflake

[**Databricks**](https://www.improving.com/partners/databricks/)

#### Google Cloud

TYPICAL DELIVERABLES

#### Lakehouse Design

#### Data Architecture

#### Governance Model

#### Data Catalog

**Databricks Certified Data Engineer Associate — expertise in lakehouse architecture and ML-ready data platforms**

### Building and Engineering Your Pipelines

_Where architecture becomes data in motion_

This is where we build — streaming pipelines, batch processing, integrations, and the real-time data infrastructure that ties everything together. Our engineering-phase partners give us the tools to move data reliably at enterprise scale, from any source to any destination.

QUESTIONS WE'RE HELPING YOU ANSWER

- How do you connect data from 20+ source systems without fragility?

- What does real-time data availability actually require at your scale?

- How do you build pipelines that fail gracefully and recover fast?

COMMONLY USED AT THIS STAGE

#### Confluent

#### AWS

[**Databricks**](https://www.improving.com/partners/databricks/)

TYPICAL DELIVERABLES

#### Streaming Pipelines

#### ELT/ETL Architecture

#### Integration Layer

#### Data Observability

**Confluent Systems Integrator Elite — expertise in real-time streaming and event-driven data pipelines**

### Turning Data Into Decisions, Then Making It Better

_Where data becomes a competitive advantage_

Getting data into a platform is only half the job. This stage is where we activate it. building the BI layer, AI-powered analytics, and governed data models that give your teams a single version of the truth. Then we keep improving it, monitoring quality, reducing cloud spend, and evolving the platform as your business changes.

QUESTIONS WE'RE HELPING YOU ANSWER

- How do you give every team self-service analytics without losing governance?

- What does an AI-powered analytics layer look like on top of your data platform?

- How do you maintain data quality as source systems change over time?

COMMONLY USED AT THIS STAGE

#### Snowflake

[**Databricks**](https://www.improving.com/partners/databricks/)

#### Google Cloud

[**Microsoft**](https://maps.app.goo.gl/D7cT1LAsKALW5A1s5)

TYPICAL DELIVERABLES

#### BI Platform

#### Semantic Layer

#### AI Analytics Model

#### Cost Optimization

**Snowflake SnowPro Core Certified — validated expertise in cloud data warehousing and analytics activation**

CLIENT RESULTS

## Data Foundations That Hold at Enterprise Scale

### Real-Time

Automated IoT data capture, no manual entry

### Predictive

Equipment issues surfaced before they cause downtime

### Scalable

Expands across production lines and sites

### Modern Real-Time Data Pipelines for Medical Device Manufacturing

Medtronic relied on manual entry and paper whiteboards to track production metrics across factory floors. Improving implemented Kafka and Confluent to capture live IoT and MES data in real time — enabling predictive maintenance, eliminating manual reporting delays, and giving production teams instant visibility into equipment health and line performance.

FROM OUR PRACTITIONERS

## Our Data Engineers Teach What They Build, Watch Them Do It

From Data Vault with dbt to real-time streaming architecture to multi-cloud observability, our data engineers teach what they build, every week, for free.

Data in Motion: Operationalizing the Modern Data Platform - Improving Talks Series - YouTube

Tap to unmute

[Data in Motion: Operationalizing the Modern Data Platform - Improving Talks Series](https://www.youtube.com/watch?v=g_cGxXjwHzY) [Improving](https://www.youtube.com/channel/UCp3IAAMb13i1bkNx-39OWig)

Improving1.47K subscribers

APRIL 2, 2026

##### Data in Motion: Operationalizing the Modern Data Platform

###### Nick Larson

_VP of Technology_

Your Data Needs a Supply Chain - Improving Talks Series - YouTube

Tap to unmute

[Your Data Needs a Supply Chain - Improving Talks Series](https://www.youtube.com/watch?v=RL4nc32ZBZ8) [Improving](https://www.youtube.com/channel/UCp3IAAMb13i1bkNx-39OWig)

Improving1.47K subscribers

MARCH 20, 2026

##### Data Ecosystems for Today: Your Data Needs a Supply Chain

###### Luke McGrath

_President, Toronto Enterprise_

Automate DV (formally dbtvault) and Snowflake: Best Practice for a Data Vault model in 2025 - YouTube

Tap to unmute

[Automate DV (formally dbtvault) and Snowflake: Best Practice for a Data Vault model in 2025](https://www.youtube.com/watch?v=Mhl4tN2Uen0) [Improving](https://www.youtube.com/channel/UCp3IAAMb13i1bkNx-39OWig)

Improving1.47K subscribers

NOVEMBER 14, 2025

##### Automate DV (formally dbtvault) & Snowflake: Best Practice for a Data Vault Model in 2025

###### Preston Mesarvey

_Technical Director_

IMPROVING TALKS

## **Improving Talks Runs Every Wednesday**

Live sessions from our practitioners on real technical challenges. Open to everyone, no registration wall.

[SEE UPCOMING SESSIONS →](https://www.improving.com/thoughts/webinars/)

START A CONVERSATION

## Ready to Build a Data Foundation Your Business Can Trust?

Tell us where you are and we'll tell you exactly how we can help. No generic proposals, no sales pitch, just a direct conversation about your data situation.

DATA PRACTICE LEADS

##### Nick Larson

_VP of Technology_

##### Rich McCraw

_VP of Technology_

##### Preston Mesarvey

_Technical Director_

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