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Capabilities

Five domains that come together in a single solution. The differentiator isn't mastering every tool, but integrating different domains and making decisions from a business perspective.

Cloud, solution architecture and platforms

Infrastructure, applications, integration and technology operations.

More reliable, scalable platforms that are ready to evolve.

  • Cloud and multicloud architecture
  • Kubernetes, OpenShift, containers and microservices
  • Platform architecture, automation and CI/CD
  • High availability, observability, reliability and incident diagnosis
  • Technology modernization and architecture assessment

Data architecture and engineering

From information sources to trusted data assets.

Consistent, available and reusable information to operate and decide.

  • Integration architectures, data lakes, data warehouses and data marts
  • Data pipelines, modeling and transformation
  • SQL, Python, dbt and Snowflake, depending on each solution
  • AWS, Azure and Google Cloud in data scenarios
  • Quality, lineage, governance and semantic models

Analytics and business intelligence

Turning data into actionable knowledge.

Visibility into the business and better operational decisions.

  • Power BI, dashboards and management indicators
  • Operational and financial analytics
  • Embedded analytics and integration with digital products
  • Metrics, information models and decision support
  • Connecting operational sources to visualization tools

Artificial intelligence and agentic systems

Intelligent applications that use context, data and tools.

Faster tasks, easier access to knowledge and better automatable processes.

  • Generative AI and applications built on language models
  • RAG and enterprise knowledge retrieval
  • Design of agents, tools and orchestration
  • Workflow automation with human oversight
  • Evaluation, security, observability and governance of AI solutions

Leadership, consulting and innovation

Connecting vision with decisions and execution.

Better-directed investments, clearer decisions and a shorter gap between idea and implementation.

  • Target architectures and roadmaps
  • Technical leadership and cross-functional coordination
  • Capability assessment and evaluation of alternatives
  • Shaping and prioritizing initiatives
  • MVP design, hypothesis validation and the path to production

Technology map

Each technology shows the kind of experience behind it.

  • Hands-on experience
  • Architecture experience
  • Applied knowledge
  • Exploring
Cloud
  • AWS (Architecture experience)
  • Microsoft Azure (Architecture experience)
  • Google Cloud (Architecture experience)
Platforms
  • OpenShift (Hands-on experience)
  • Kubernetes (Hands-on experience)
  • Docker (Hands-on experience)
  • Helm (Hands-on experience)
Data engineering
  • Python (Hands-on experience)
  • SQL (Hands-on experience)
  • dbt (Applied knowledge)
  • Snowflake (Applied knowledge)
Analytics
  • Power BI (Hands-on experience)
  • Semantic models (Applied knowledge)
  • Embedded analytics (Applied knowledge)
Integration
  • APIs (Hands-on experience)
  • Data pipelines (Hands-on experience)
  • Kafka (Architecture experience)
  • Integration patterns (Architecture experience)
DevOps and automation
  • CI/CD (Hands-on experience)
  • Bash (Hands-on experience)
  • Automated deployment (Hands-on experience)
Artificial intelligence
  • Generative AI and LLMs (Applied knowledge)
  • RAG (Applied knowledge)
  • Tools and orchestration (Exploring)
  • Agentic systems (Exploring)

Have an initiative that needs to move from idea to a working solution?

Tell me about the context and the goal. We'll work out together what is worth building, why, and how to start.

Let's talk