We develop robust, monitored and versioned data pipelines for companies in Barcelona that need to move, transform and centralize their data reliably and automatically. From batch ETL/ELT pipelines with Python, SQL and dbt to real-time streaming architectures with Kafka and Spark, we build the data infrastructure you need.
Data Pipeline Development for Companies in Barcelona
At MiT Software we develop custom data pipelines for companies that need to automate the movement and transformation of their data between systems. A well-built data pipeline is the difference between an organization that makes decisions based on updated and reliable data, and one that spends time and resources on manual error-prone processes. Our pipelines are developed following DataOps practices: Git versioning, automated data quality testing, data model documentation and real-time monitoring with alerts. We work with Python, SQL, dbt, Apache Airflow, Prefect, Apache Kafka, Apache Spark and all the tools of the modern data ecosystem.
We start with a detailed analysis of all data sources involved in your Barcelona company: structure, volume, update frequency, data quality, access restrictions and necessary transformation logic. This analysis defines the most appropriate pipeline architecture and the implementation order prioritized by business value.
We define the complete data pipeline architecture for your Barcelona company: how many layers to implement, what transformation logic to apply in each layer, what tools to use for each type of transformation and how to structure the data model to optimize analytical performance and long-term maintainability.
We develop all pipelines following DataOps practices adapted to each Barcelona company's context: code in Git with pull request review, automated unit and integration tests, CI/CD deployment pipeline, staging environment for pre-production validation and complete documentation of each pipeline's behavior.
We configure the orchestration platform for your Barcelona company with all pipelines, their schedules, dependencies and retry policies. We configure the execution environments — cloud functions, containers, dedicated clusters — according to the resource requirements of each type of pipeline, ensuring operational efficiency and optimized costs.
Before switching to normal operation, we execute the initial historical data load with exhaustive validation adapted to each Barcelona project: record counting, checksum comparison and statistical testing of key metrics to confirm all historical data has been correctly and completely migrated to the new platform.
After the initial deployment, we provide continuous support for the operation and evolution of your Barcelona company's pipelines: incident resolution, optimization of slow pipelines, incorporation of new data sources, adaptation to structural changes in source systems and data model evolution as business needs change.
Barcelona companies that still rely on manual processes to move and transform data between systems spend valuable time and resources on repetitive, error-prone tasks. We build data pipelines that fully automate those processes, freeing teams to focus on analysis and decision-making rather than data maintenance.
For Barcelona companies competing in dynamic markets, data freshness is a real competitive advantage. We build pipelines that keep your analytics platform fed with updated data at the required frequency — from daily batch to near real-time — so every dashboard, report and AI model reflects the current reality of the business.
We develop custom extraction, transformation and loading pipelines with Python and SQL, adapted to the specific requirements of each data source and destination at your Barcelona company. Whether you need batch, micro-batch or streaming, we build pipelines optimized for the volume, latency and transformation complexity of each use case.
dbt has become the standard for managing SQL transformations in modern data warehouses. For Barcelona companies, we implement dbt to define, document, version and test all data transformations, applying software engineering practices — Git, CI/CD, unit testing — to your organization's data transformation code.
We implement and operate orchestration platforms for Barcelona companies that coordinate the execution of all data flows: task dependency management, automatic retries on failure, execution scheduling, centralized monitoring and alerts so your team always knows the state of each pipeline in production.
For Barcelona retail, logistics or fintech companies that need to process events in real time, we build streaming architectures with Apache Kafka as the messaging backbone and Apache Spark Streaming or Apache Flink as the processing engine, allowing detecting patterns and making decisions at the instant data is generated.
We develop custom connectors and integrations for any data source that exists in your Barcelona company: relational databases, NoSQL systems, REST and GraphQL APIs, SaaS platforms like Salesforce, HubSpot or SAP, IoT streams or any other source with its own specific protocol that needs to be integrated into your data platform.
We implement complete observability for data pipelines at Barcelona companies: execution dashboards with processing times and volumes, automatic quality alerts that detect anomalies before they reach end users, structured logging for root cause analysis and SLA tracking for the most business-critical pipelines.
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