Empowering Analytics Teams with Scalable and Automated Data Platforms

The Scalable Way is a professional services agency bringing software engineering practices to data platforms in order to achieve higher scalability, cost effectiveness, usability and reliability.

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Is your data tech stack working with you or against you?

Most data professionals are stuck navigating complex analytics workflows. They deal with fragmented access, manual maintenance, “ad hoc” pipelines, and weak security and governance—largely because they rely on a patchwork of poorly integrated tools instead of a cohesive data platform.

In contrast, high-performing analytics teams prioritize scalable solutions, borrowing best practices from software development. These solutions are automated, provide streamlined workflows, ensure a strong developer experience, are secure by default, and consistently deliver reliable production insights. A well-designed data platform is essential to achieve these outcomes.

We help data analytics teams & departments achieve greater efficiency and more robust solutions in production *

* by helping with developing infrastructure, ingestion, transformation, and documentation as code; training your teams on the enhanced development workflow; servicing recurring data ops and data platform needs.

The ultimate data platform goal? Stuff just works!

Unfortunately, many data analytics departments don’t end up where they had hoped. They struggle to build reliable data pipelines, they don’t manage to automate, and because of that, they have problems onboarding users and excessive manual work.

The 5 data platform foundations

  1. 1

    Automation

    with solid CI/CD and documentation

  2. 2

    Developer Experience

    Intuitive tools, clear APIs, and robust frameworks

  3. 3

    Scalability

    Growing usage without exponentially growing tech debt and costs

  4. 4

    Governance & Security

    Data governance, networking, and access

  5. 5

    Data Readiness

    Clean, consistent, and enriched data for analysis

About us

We believe in automation and good developer experience.

With a combined 30+ years of experience in infrastructure, data platforms, and data engineering, we are on a mission to help data analytics teams build more robust and scalable solutions.

Alessio Civitillo

An experienced financial analyst and software engineer, Alessio brings a unique blend of expertise and vision to the world of data, ensuring that our clients unlock the hidden connections in their data and deliver value to their stakeholders.

Karol

A dedicated data strategist focused on actionable insights and innovative data-driven solutions.

Mateusz

Passionate about turning complex data into clear, actionable intelligence for better decision-making.

Why do clients come to us?

Analytics Departments and Teams typically suffer from one or more of these 11 challenges

Unscalable.
Lacking strong tech foundations to build a scalable and long term solution
Unclear reference architecture.
Struggling to define a target architecture and to address specific analytics pain points
Unclear security model.
Not being sure what security and access management is needed to fulfil company policies
Shaky production.
Lacking a proper split of dev and prod environments and thereby making production less stable
Increasing tech debt.
Lacking a robust code review process to avoid accumulation of tech debt
Inadequate networking configuration.
Networking designed with applications in mind, making it difficult to stay secure and fast when developing analytical capabilities
Manual operations.
Time intensive, error prone, tedious daily manual work
Slow data ingestions.
Experiencing difficulties ingesting data from many applications and APIs
Struggling with best practices.
Lacking guidance in what tools to choose and avoiding making expensive mistakes
Difficulty in retaining key talent.
Experiencing challenges in keeping team members motivated
Difficulty in onboarding talent.
Experiencing challenges when onboarding new analysts to the complex web of tools in use

Our Services

Data Platform Development

Build scalable, reliable, and efficient data infrastructure with modern "as code" practices, enabling seamless data integration, transformation, and analysis.

Data Platform Operations

Ensure continuous, reliable data platform performance through proactive monitoring, maintenance, and automated operational workflows.

Our Insights

Selected Articles. Check our blog for more.

The Simplest Way to Set Up Scalable Data Platform on Google Cloud Platform (GCP)

prefect

A pattern to improve observability, monitoring and, ultimately, data operations with Prefect. We show how to find the right trade off between number of deployments and improved operations.