Think Holistic — DataOps & Data Engineering

We Empower Your Business with

DataOps, Automation, Reliability

From raw data to actionable insights — automate, orchestrate, and scale your data pipelines with confidence.


We architect modern data stacks, build robust pipelines, and embed quality & governance by design.

Elevate Your Data to New Heights

Every data journey is unique. We tailor DataOps & Data Engineering strategies to your context, constraints, and ambitions.

  • • Design lakehouse/cloud architectures aligned with your roadmap
  • • Automate ingestion, transformation & orchestration (Airflow, dbt, Spark)
  • • Assure data quality, lineage and governance (GDPR, ISO)
  • • Deliver insights via BI & ML with robust MLOps foundations
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Data engineering pipeline diagram: sources → ingestion → storage → transformation → serving
Harness Our Expertise to Maximize Your Data.

Our Work Process: DataOps in 5 Steps

  • 01

    Discovery & Audit

    Sources, volumes, SLAs, compliance. We map your ecosystem, risks and opportunities.

  • 02

    Architecture & Roadmap

    Lakehouse/cloud design, storage formats, cost & performance strategy.

  • 03

    Pipelines & Automation

    Ingestion, ELT/ETL, orchestration and CI/CD with observability and testing by default.

  • 04

    Enablement & Governance

    Training, data quality, catalog, lineage, access policies and privacy controls.

  • 05

    Operate & Optimize

    Monitoring, SRE-inspired reliability, cost optimization and continuous improvement.

Support at Every Stage, According to Your Needs

DataOps & Data Engineering Services

From strategy to execution, we accelerate your data journey with modern tooling and proven patterns.

Data Strategy & Architecture

Modern lakehouse/cloud designs (S3/MinIO, Snowflake/BigQuery, Postgres). Security, cost, performance by design.

Ingestion & Orchestration

Airflow/Kafka for scheduling & streaming. Reliable ELT/ETL with dbt/Spark and reusable components.

DataOps pipeline and tooling: Airflow, dbt, Spark, Kafka

Data Quality & Governance

Automated checks (Great Expectations, Pandera), lineage, catalog, and compliant access controls.

Analytics, BI & MLOps

Dashboards (Superset, Power BI), feature stores, experiment tracking, and production-grade ML deployments.

Years of IT & Data Expertise

A quarter-century delivering robust data and operations solutions with measurable business impact.

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Data Engineering Lab Projects

Our Client Sectors

Over 25 Years of Experience with Major Clients

Across finance, academia, industry and public services, we adapt DataOps and Data Engineering practices to your scale and compliance needs.

Financial institutions — real-time analytics and compliance pipelines

Financial Institutions

Universities — research data lakes and open data publishing

Universities

European Commission — governance and interoperability

European Commission

Administrations — open data, automation, compliance

Administrations

Industry — IoT pipelines and predictive maintenance

Industry

Other sectors — ecommerce, health, transport

Others

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