Microsoft Fabric · Azure · Lakehouse · Pipelines · DevOps

Architecture and pipelines Modern Data

From ingestion · analytical layer: Lakehouse, robust pipelines, governance and applied DevOps practices · data engineering with Microsoft Fabric and Azure.

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Microsoft Fabric · Azure · Lakehouse · Pipelines · DevOps

Why invest in Data Engineering?

Lakehouse & Fabric

Lakehouse architecture with Microsoft Fabric: Medallion, Delta Lake, OneLake and unified governance.

Data Pipelines

ETL/ELT with ADF, Fabric Data Factory and Synapse Pipelines. Reliable and monitored orchestration.

DevOps & CI/CD

Git, Azure DevOps, branching strategies and automation for agile data teams.

Data Architecture

Design of scalable solutions: modern DW, data mesh, DataOps and dimensional modeling.

Why invest in Data Engineering?

THE data engineering it is the foundation of any successful analytics strategy. Without reliable pipelines, well-modeled data, and governance practices, BI and AI initiatives simply won't scale.

Platforms we dominate

We work with Microsoft Fabric, databricks and Snowflake: and we choose the best platform for each scenario. No vendor lock-in and no limited tool view.

DevOps and DataOps

We version pipelines, automate data quality tests and operate with isolated dev/test/prod environments via full CI/CD. Software engineering best practices applied to the data lifecycle.

Architectural modernization

We operate on two fronts: greenfield: complete stack from scratch with current best practices; and legacy modernization: migration of SSIS, Informatica, on-premises DW and monolithic architectures to modern cloud platforms.

Cost and capacity reduction

We optimize SQL, pipelines and data model to reduce capacity consumption in Fabric (CU), DBUs in Databricks and Credits in Snowflake. Tuning projects with measurable returns in the first billing cycle.

Full scope

What we deliver

Diagnosis of current data architecture and modernization roadmap
Lakehouse implementation with Medallion architecture (Bronze / Silver / Gold)
Development and maintenance of ETL/ELT pipelines (batch and streaming)
Real-time and near-real-time data ingestion
DevOps for data: versioning, CI/CD, automated testing and dev/test/prod environments
Pipeline and SQL optimization for cost reduction (Fabric CU, Databricks DBU, Snowflake Credits)
Legacy modernization: migration from SSIS, Informatica, on-premises DW and monolithic architectures
Greenfield construction: full stack, layered architecture and team onboarding
Dimensional modeling and data warehouse design
Data transformations with dbt and modular SQL
Governance, cataloging and data quality
Monitoring and alerts for production pipelines
Migration from on-premises environments to cloud
Documentation of data pipelines, architecture and data flows
Integration with BI and Machine Learning tools
Tool stack

Tools we master

azure data factoryETL/ELT · PipelinesFind out more
Microsoft FabricLakehouse · Warehouse · AnalyticsFind out more
Azure SynapseAnalytics · Big Data · DWFind out more
Azure PurviewGovernance · Catalog · LineageFind out more
SSISIntegration Services · Legacy ETLFind out more
Apache HopETL · OrchestrationFind out more
Pentaho (PDI)Data IntegrationFind out more
Azure DevOpsCI/CD · Repos · BoardsFind out more
databricksLakehouse · Delta Lake · MLFind out more
SnowflakeCloud Data WarehouseFind out more
dbtData transformationsFind out more
Apache AirflowPipeline orchestrationFind out more
Apache SparkProcessing at scaleFind out more
Apache KafkaReal-time streamingFind out more
Amazon AWSGlue · Redshift · S3Find out more
Google CloudBigQuery · Dataflow · GCSFind out more
PythonPySpark · pandas · SQLAlchemyFind out more
Process

Our way of working on projects

01

Diagnostic meeting (free)

We understand your scenario without commitment

02

Technical analysis and proposal

Complete diagnosis and personalized proposal

03

Solution development

We started developing the solution, providing constant feedback and alignment with the customer

04

Validation

We carry out validation together with the client to ensure that the data is complete, fast and consistent

05

Documentation

In this stage, we prepare complete documentation of deliverables, artifacts, pipelines and data flows

06

Delivery

We sign the acceptance form to complete the project

Schedule diagnosis
Hiring Models

How we work together

Choose the model that best suits your time and needs.

Option 1

Monthly Support

Continuous partnership without minimum commitment.

  • No minimum stay
  • Lowest value/hour
  • Compensable time bank (up to 4 months)
  • Flexibility to scale at any time
Ideal for variable scopes
Option 2

Hours Package

Pre-contracted hours with real-time monitoring and control.

  • Balance visible in real time
  • Warning when reaching 80% of the package
  • Remaining balance valid for 12 months
  • Scope impact always reassessed
Ideal for projects with a defined scope
Option 3

Professional Allocation

Body Shop · Outsourcing

Dedicated senior as another member of your team.

  • Full-time (8h/day) or Part-time (4h/day)
  • Immediate service SLA
  • Exclusive dedication to the project
  • Hiring for weeks or months
Ideal for larger projects
Our differences

Why Power Tuning?

More than 10 years delivering data projects that really work. See what sets us apart.

Microsoft MVPs

Our team is made up of Microsoft MVPs in data: Microsoft's highest recognition for experts in the field.

Microsoft Solution Partner

We are Microsoft Solution Partner in Azure Data and AI: highly qualified team with direct access to Microsoft.

Power BI experts

Power BI Desktop, Service, Embedded, Premium and Report Server: we know each layer of the platform.

End-to-end BI

Architecture, ETL, modeling, Data Warehouse, OLAP cubes and reports. We deliver the complete project.

Performance Tuning

National reference in SQL tuning. Forget BI loads taking hours to process.

Multidisciplinary team

Azure, databases, data engineering and architecture: always the best solution for your scenario.

Real experts

Here, Júnior has no place. We solve complex problems without learning during the project.

Remote and in-person

We serve anywhere in the world remotely. In person: ES, MG, CE and SP.

Training platform

Exclusive high quality training. Customers have a special discount on all courses.

5 million views

Our consultants' technical blogs have more than 5 million views: shared knowledge.

Instant communication

Teams, WhatsApp, Telegram, Slack: no call queue. Quick response, always.

BI & Analytics

Other BI & Analytics services

Discover the other specialized services of our data team.

Fabric & Power BI Monitoring

Full visibility of your Power BI and Fabric environment: usage, performance, costs and auditing in real time.

Get to know →

Optimization of Semantic Models

Maximum performance in DAX, Analysis Services and Power BI models: datasets that respond in seconds.

Get to know →

Report Design & UX

Reports with professional UX, visual identity and experience that delights the end user.

Get to know →

Power Tuning Ecosystem

Discover our products

Solutions developed by our best experts to maximize your company's productivity. Guaranteed ROI.

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Talk to an expert

Choose the best time for a no-obligation meeting. In 30 minutes, we understand your scenario and present the best path.

Request a proposal

Let's talk about your challenge

Are you ready to get the most out of your data environment? Our experts evaluate your scenario without obligation.

Fill out the form below and our team will get in touch to better understand your needs and start a successful partnership.

  • Free initial diagnosis of your scenario
  • Response within 1 business day
  • No commitment, no charge for evaluation

Fill in your details

Modernize your data platform

Our Fabric and Azure experts help you design and implement your architecture.

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