Data Management, ETL & Automation

Data Management, ETL & Automation

We design and develop the processes that move, transform, and make your data available — reliably, measurably, and without manual intervention.

Your data moves every day — the question is: how much can you trust it?

Master data, portfolios, catalogues, orders, documents. Every day your company moves data between different systems: from one management tool to another, from an external partner to an internal database, from a file received via SFTP to an application that needs to display it to your customers.

When these processes work, nobody thinks about them. When they break, everyone notices — often too late: data that doesn't arrive, wrong reports, blocked operations, people spending their morning figuring out what went wrong overnight.

We take care of making this invisible but critical layer work: we design, build, and maintain the flows that move and transform your data, ensuring they are reliable, measurable, and — above all — require no manual intervention.

What we can do for you

  • Automate what you're doing by hand today. If someone on your team exports data from one system, transforms it in a spreadsheet, and re-imports it elsewhere, we can build an automated flow that does it every day, securely and traceably. Fewer human errors, less wasted time.

  • Make unreliable flows dependable. Your data processes frequently fail, are slow, or have unpredictable runtimes? We analyse what's not working, understand why, and optimise or rewrite them — whichever makes more sense.

  • Build new data processing flows. Need to integrate a new system, populate a search engine, feed a dashboard, or calculate KPIs on large volumes? We design the flow from scratch, with attention to performance, traceability, and anomaly handling.

  • Organise data so it's accessible fast. Having data isn't enough: it needs to be structured so your applications, searches, and reports can access it quickly. We design the data model and the flows that feed it.

  • Give you visibility into what's happening. Today you discover problems only when someone notices? We introduce metrics, alerts, and end-to-end tracing: you always know where your flows stand, and you intervene before a problem becomes an emergency.

When it makes sense to involve us

  • You have manual, repetitive processes that waste time and are error-prone
  • Your data flows are unstable and require frequent manual intervention
  • Processing times are unpredictable and risk exceeding operational windows
  • You lack metrics and alerts — you discover problems when it's already too late
  • You need to model or index data for searches, reports, or KPIs
  • You want to integrate different systems and need to figure out where to start

Real-world cases

Daily import of master data and portfolios — Fintech

Every day our client receives data flows from banks and insurance companies containing customer master data and portfolios. Validation, import, and calculation times were very long, and an error during overnight processing could block the next day's operations.

We redesigned the process together with the client's team: input data validation with a reject log accessible to analysts, pre-compiled statistics for downstream applications, and indexing for fast searches. Processes that previously took hours now run in minutes, and the team always knows exactly what's happening.

Search engine for multi-brand e-commerce — E-Commerce

A client needed to integrate an advanced search engine on their e-commerce platform, with the requirement that the same solution work across multiple stores and brands.

We designed the integration architecture, defined the development phases, and built the flow that automatically populates the search engine from the product catalogue. The solution is in production and reused across multiple e-commerce sites within the same group without duplicating effort.

Did you know?

In the world of data, validating upstream costs almost nothing — not validating costs dearly. A flow that checks incoming data and immediately flags anomalies prevents overnight reruns, defensive code, and hours of debugging. The rule is simple: better to discover a problem at 6:00 PM than at 3:00 AM.

In detail: our technical expertise

  • ETL and ELT processes — We design extraction, transformation, and loading pipelines, batch and near-real-time, with attention to performance, idempotency, and reject handling.
  • Reverse engineering and optimisation — We map existing flows, identify critical points, and define an improvement roadmap covering stability, performance, and observability.
  • Data modelling and indexing — We design relational models and search indices (OpenSearch, ElasticSearch) optimised for the access patterns of your applications.
  • Orchestration and workflow automation — We automate complex flows integrating heterogeneous systems, with retry, compensation, and automatic alerting.
  • Assessment and initial analysis — We evaluate the tools, systems, and applications involved to define the best integrations and necessary connectors.
  • Data Science and KPIs — We process, validate, and calculate indicators on large data volumes to support operational and strategic decisions.

Technologies

Data processing: Apache Spark, Spring Batch, AWS Glue

Orchestration: AWS Step Functions, Apache NiFi, n8n

Languages: Java, Scala, Python

Database and indexing: PostgreSQL, MongoDB, OpenSearch, ElasticSearch

Infrastructure: AWS (Glue, Step Functions, S3, Lambda), Docker

Frequently asked questions

What is an ETL process, in plain terms?+

ETL stands for Extract, Transform, Load: extract data from a system, transform it into the format you need and load it where it has to go. It's what happens, for example, when data from a management system has to feed an e-commerce store, a dashboard or a search engine. We design these flows to be automatic, reliable and monitored, with no manual intervention.

Can you automate a process we currently do in Excel?+

Almost always, yes. If someone on your team exports data from a system, reworks it in an Excel sheet and re-imports it elsewhere, we can replace that work with an automatic flow that runs every day securely and traceably — fewer human errors, less time lost and repeatable results.

How do you ensure data isn't lost or arrives wrong?+

We validate incoming data and handle rejects in a reviewable way, so anomalies surface immediately instead of propagating downstream. We add metrics, alerts and end-to-end tracing: you always know where your flows stand and can act before a problem becomes an emergency. Our rule: better to find an error at 6pm than at 3am.

Do you integrate with the management systems we already use?+

Yes, integrating heterogeneous systems is our bread and butter. We connect to ERPs, CRMs, databases, files via SFTP, APIs and message brokers. We start from an assessment of the systems involved to define the right connectors and the architecture best suited to your context.

Is nightly batch or real-time processing better?+

It depends on the use case. For high volumes and periodic reconciliations a well-designed batch is often the best choice; when data must be updated immediately (for example prices and availability) we build near-real-time, event-driven pipelines. We assess requirements, operational windows and costs together to choose the right approach.

What happens if a flow fails during the night?+

The flows we build include retries, reject handling and automatic alerts: if something goes wrong, the system flags it and, where possible, recovers on its own. The goal is that nobody has to discover the problem the next morning with operations already compromised.

Want to learn more? Let's talk over a coffee ☕

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