WideBI / ANALYTICS

Cristiano Moraes

CIO · WideBI Analytics

Company founded in 2021

Deep in data.
Building with AI.

I turn complex enterprise data into trusted platforms — and build AI systems that accelerate the work.

Explore my cases LinkedIn GitHub

PORTO ALEGRE, BRAZIL · GLOBAL DELIVERY

Cristiano Moraes
Cristiano MoraesCIO · WideBI AnalyticsData Architect & AI EngineerWideBI Analytics · Brazil → Global
20+years in data & analytics
US$ 4Msavings from legacy migrationMicrosoft · Upstart 13
61%improvement in DORA practice adoptionBP · ElastacloudAbout Google Cloud DORA ↗
US$ 16k/mosaved at North RockModels live in production in 7 months

SELECTED CLIENT ENGAGEMENTS DIRECTLY AND VIA CONSULTING ROLES

MicrosoftMicrosoft
North RockNorth Rock
BP — British PetroleumBP — British Petroleum
Air LiquideAir Liquide
MAMMAM
Lojas RennerLojas Renner
PetrobrasPetrobras
AviancaAvianca
GerdauGerdau
Midea CarrierMidea Carrier
VortigoVortigo
PREVIPREVI

Also delivered projects for Vortigo, Lojas Lebes and Saque e Pague.

EMPLOYERS / CONSULTING FIRMS

Upstart 13Upstart 13 · Current
LuxoftLuxoft
ElastacloudElastacloud · UK
Meta ITMeta IT
DBC CompanyDBC Company
NeogridNeogrid

CURRENT WORK / AI + FABRIC

Now building:
AI for enterprise data.

Three complementary products spanning migration, architectural review, and report creation. Developed within the StarBase engagement for Microsoft through Upstart 13.

Open in Google Drive ↗Google Drive access may be required.

01 / MODERNIZATION

Power BI
AI Migration Tool

Give legacy analytics a path forward.

Recover business rules across DAX, Power Query, embedded SQL, and report context. Map them to a canonical Fabric architecture with explicit reuse, extension, and gap proposals for engineering review.

My contribution
Platform architecture, the Diagnostic Context Engine, grain-aware semantic matching, and agent orchestration.
Business value
Accelerate discovery and mapping while making gaps and migration decisions explicit.
Microsoft FabricAzure AI FoundryHybrid search
Open in Google Drive ↗Google Drive access may be required.

02 / ARCHITECTURAL ASSURANCE

Power BI AI Review

Make technical debt visible.

Combine deterministic rules with evidence-based AI analysis to surface architecture issues, duplicated logic, and migration risks across Power BI reports and semantic models.

Engineering focus
Traceable findings, explicit assessment coverage, and architectural summaries grounded in report evidence.
Business value
Give teams a consistent basis for prioritizing remediation and discussing modernization risk.
PBIP / TMDLDAX analysisEvidence-based AI
IMAGETEXT
MULTIMODAL INTERPRETATIONIntent → semantic model
POWER BI REPORT PBIP

03 / MULTIMODAL GENERATION

Image / Text to Report

Turn an idea into an analytical starting point.

Translate a visual reference or a written request into a Power BI report backed by canonical semantic-model metadata.

My contribution
Multimodal ingestion pipelines, report-definition parsing, and integration with the canonical reporting architecture.
Business value
Reduce the distance between business intent and the first report iteration.
Vision LLMsStructured outputReport generation

Demo available on request.

SELECTED CASES / BUSINESS IMPACT

My work.
Real business outcomes.

From sales reporting and retail operations to global engineering teams and capital markets. A selection from my consulting career and WideBI Analytics.

2025 · NORTH ROCK / VIA LUXOFT$24k → $8k
Monthly infrastructure spend

US CAPITAL MARKETS / FABRIC

Modernizing the platform.
Reducing the running cost.

US$ 16k/month saved · models live in production in 7 months

Led the migration from legacy SSAS, SSIS and on-premises analytics to Microsoft Fabric. The models were migrated and live in production in just 7 months, reducing infrastructure spend from US$ 24k to US$ 8k per month.

Read the case

Used medallion architecture and Direct Lake, working with capital-markets analysts to translate trading and portfolio needs into the semantic layer. The reported spend moved from $24,000 to $8,000 per month.

BP DevOps best-practice and DORA metrics dashboard

2021–2025 · BP / VIA ELASTACLOUD

Engineering performance,
grounded in data.

61% improvement in DORA practice adoption

Through Elastacloud, we helped BP IT teams improve adoption of Google Cloud DORA practices by 61%. I built the Azure data foundation for DevOps analytics, integrating commits, pull requests and pipeline events into a lakehouse.

DORA practices · official Google Cloud reference ↗

Read the case

Power BI dashboards exposed delivery lead time, deployment frequency, change failure rate and recovery metrics to service owners and engineering leaders.

Original case ↗
MAM Brazil Power BI sales dashboard

MAM BRAZIL / SALES ANALYTICS

From monthly spreadsheets
to daily decisions.

8 dashboards delivered in 2 months

Sales reporting depended on manual Excel files, ERP Protheus and external sources. I delivered a data warehouse and automated Power BI reporting for the Brazilian sales team and its Austrian headquarters.

Read the case

Daily reporting replaced the monthly compilation cycle. The success of the Brazil rollout helped inform MAM’s decision to adopt Power BI globally in 2021.

Original case ↗
LEBES / PROJECT MANAGEMENTTwo systems.
One portfolio view.
Artia + Orquestra → Data Warehouse → Power BI

LOJAS LEBES / PMO

A clearer view of projects
and resource allocation.

2 dashboards connecting 2 operational systems

Connected Artia and Orquestra in a unified data warehouse, replacing manual cross-system analysis with portfolio and resource-allocation dashboards.

Read the case

The project improved the structure of existing reporting and enabled distribution through email, PDF and mobile. Teams could assess initiatives and capacity using a shared information base.

Original case ↗
WideIntelligence Wi-Fi traffic analytics dashboard

WIDEINTELLIGENCE / CO-FOUNDER

From product idea to 20+ clients.

Co-founded a Wi-Fi marketing and analytics business, grew its client base and sold the company.

CLIENT VOICES

Trust built
through delivery.

Excerpts from LinkedIn recommendations and client testimonials in the WideBI Analytics portfolio.

“Cristiano is highly reliable”

Summary: Dênis highlights Cristiano’s work on the BP project at Elastacloud, combining data expertise with practical solutions and reliable delivery.

Dênis Alberto Fevereiro
Dênis Alberto FevereiroBP · Elastacloud
Read recommendation on LinkedIn ↗
“an invaluable asset to any team”

Summary: Diego highlights Cristiano’s end-to-end data expertise, from ingestion and transformation to semantic models and visualizations that support business decisions.

Diego Eick Moreira
Diego Eick MoreiraLinkedIn recommendation
Read recommendation on LinkedIn ↗
“Cristiano has a keen eye for detail”

Summary: Shobana, who managed Cristiano directly, highlights his analytics and data-modeling expertise, the quality of his reports and his positive impact on the team’s projects.

Shobana Sridaran
Shobana SridaranData & AI Architect · Former manager
Read recommendation on LinkedIn ↗
“Cristiano was a great partner.”
Milena Arantes Mauro
Milena Arantes MauroBusiness Development Analyst · MAM Brazil
Read full testimonial ↗
“WideBI developed dashboards that brought us an integrated view of two systems”
Gabriel Mincaroni
Gabriel MincaroniPortfolio Analyst · Lojas Lebes
Read full testimonial ↗

HOW I CONTRIBUTE

Architecture judgment.
Engineering depth.

From business requirements to implementation, I connect the decisions that make a platform valuable, reliable, and maintainable.

01

Data architecture

Design coherent platforms from ingestion to the semantic layer. Make grain, ownership, business rules, and trade-offs explicit.

Fabric · OneLake · Delta Lake
Medallion · Kimball · Direct Lake

02

AI engineering

Build agents around domain context, structured contracts, retrieval, and evaluation. Turn model capabilities into repeatable workflows.

Python · Azure AI Foundry
Azure AI Search · FastAPI · Pydantic

03

Technical leadership

Translate business needs into architecture and delivery plans. Mentor engineers and communicate decisions clearly to stakeholders.

Solution design · Technical mentoring
Stakeholder alignment · Delivery planning

EDUCATION / CAREER / TECHNOLOGY

It started with code.
A journey built on learning.

From my first programs in 1994 to a career in data and international delivery.

  1. CODE

    First lines of code

    Started programming in C and Clipper.

    C · Clipper

  2. EDUCATION

    Computer Science at UFSM

    Began my Computer Science degree at the Federal University of Santa Maria, in Santa Maria, Brazil.

    UFSM · Santa Maria

  3. EXPERIENCE

    Internship at CPD / UFSM

    Internship at UFSM’s Data Processing Center during my undergraduate studies.

    CPD · UFSM
  4. Universidade Federal de Santa Maria (UFSM)

    EDUCATION

    Computer Science graduate

    Completed my Computer Science degree at UFSM.

    Alma mater · Universidade Federal de Santa Maria (UFSM)
  5. Universidade Federal do Rio Grande do Sul (UFRGS)

    EDUCATION

    Web & Information Systems

    Postgraduate / MBA studies in Web and Information Systems.

    UFRGS · Web & Information Systems

  6. TECHNOLOGY

    A new chapter with MicroStrategy

    Started working with MicroStrategy in business intelligence.

    MicroStrategy · BI

  7. CERTIFICATION

    MicroStrategy Architect

    Earned my MicroStrategy Architect certification.

    MicroStrategy

  8. CERTIFICATION

    Project management in data

    Earned my PMI certification, bringing project management to data delivery.

    PMI · Project management

  9. TECHNOLOGY

    The Power BI chapter

    Started working with Power BI.

    Power BI

  10. CERTIFICATION

    Power BI certification · DA-100

    Earned my Power BI certification through the DA-100 exam.

    Microsoft · DA-100

  11. INTERNATIONAL

    From Brazil to global delivery

    Began working internationally, with engagements spanning Canada, the United Kingdom and the United States.

    Canada · UK · USA

  12. WIDEBI ANALYTICS

    WideBI Analytics is founded

    WideBI Analytics was founded in 2021. Today, I serve as the company’s CIO.

    CIO · WideBI Analytics

Professional foundations

FATEC → SIG → DBC

My early career included a company at FATEC, followed by SIG and DBC, working across software development and data.

Delphi · C · C++ · Microsoft Analysis Services / SSAS · Cognos · DTS

Continuing education

Further certifications in Microsoft Fabric, Azure Data Engineering and Azure AI complement this journey.

View credentials ↓

UFRGS: Maiquel Isago / Wikimedia Commons · CC BY-SA 4.0

SELECTED EXPERIENCE

Depth built
in the real world.

A career spanning enterprise BI, cloud data platforms, US capital markets, and applied AI.

2025 — PRESENTUPSTART 13 · MICROSOFT CLIENT

Lead Data Architect & AI Engineer

Leading the architecture of StarBase AI Assistant on Microsoft Fabric and Azure AI Foundry. Specialized agents, semantic mapping, and multimodal reporting across nine business domains.

US$ 4M in savings generated through legacy migration for Microsoft.

MAR — OCT 2025LUXOFT · NORTH ROCK / LIGHTHOUSE

Modernizing capital-markets analytics

Led the migration of legacy SSAS, SSIS, and on-premises analytics to Microsoft Fabric. Re-architected pipelines and semantic models around a medallion architecture and Direct Lake.

Models migrated and live in production in 7 months. Infrastructure spend: US$ 24k → US$ 8k per month — US$ 16k saved monthly.

2021 — 2025ELASTACLOUD · BP CLIENT

A data foundation for engineering performance

Built an Azure data lake for DORA metrics across thousands of IT teams, bringing Azure DevOps telemetry into reusable pipelines and analytics for engineering leadership.

Helped BP IT teams improve adoption of DORA practices by 61%.

DORA practices · official Google Cloud reference ↗
EARLIER EXPERIENCEMETA IT · DBC COMPANY · NEOGRID

Enterprise BI, architecture & delivery leadership

Delivered analytics and migration programs for Air Liquide, Lojas Renner, Petrobras, Avianca, and Saque e Pague. Designed dimensional models, led technical teams, and managed BI delivery.

THE PERSON BEHIND THE ARCHITECTURE

Curiosity is
part of the job.

I’ve spent more than two decades learning how businesses use data. Today, I’m applying that experience to the next generation of AI-assisted systems.

I’m a self-directed learner who stays close to implementation. I study, experiment, pursue certifications, and bring what holds up into practical solutions. My experience also includes co-founding WideIntelligence, a marketing technology business that grew to more than 20 active clients before its sale.

Through WideBI Analytics, I bring hands-on architecture and delivery experience to data and analytics projects.

Based in Porto Alegre, Brazil. Experienced in remote delivery for US and UK organizations. Working in English and Portuguese.

Selected credentials

Credentials earned across my career.

  • Microsoft Certified badgeMicrosoft Certified: Fabric Analytics Engineer Associate
  • Microsoft Certified badgeMicrosoft Certified: Azure Data Engineer Associate
  • Microsoft Certified badgeMicrosoft Certified: Power BI Data Analyst Associate
  • Microsoft Certified badgeMicrosoft Certified: Azure AI Fundamentals
  • PMI Project Management Professional — earned 2013

Alma mater · Universidade Federal de Santa Maria (UFSM)

1997–2001 · BSc Computer Science · Universidade Federal de Santa Maria (UFSM) · Santa Maria
2003 · Postgraduate studies in Web & Information Systems · UFRGS

LET’S BUILD WHAT COMES NEXT

Your data challenges.
My next conversation.

Start a conversation Connect on LinkedIn ↗GitHub · WideBI Analytics ↗Download CV ↓