Services
Data Engineering & MLOps
Successful AI starts with clean, accessible, governed data. BrotherhoodIO designs data warehouse and lakehouse architectures, ETL/ELT pipelines, data-quality checks and MLOps workflows. We also productionize classic machine learning — forecasting, classification, anomaly detection — and monitor performance continuously.
Service area: Ankara, all of Türkiye and international clients (remote).
What we deliver
- Data warehouse / lakehouse architecture
- ETL/ELT pipelines and data quality
- Forecasting, classification and anomaly-detection models
- Model versioning, deployment and monitoring (MLOps / LLMOps)
- Business intelligence dashboards
- Data governance and access policies
Outcomes you can expect
- A trusted single source of truth
- Monitored models in production
- Data-driven decisions
Frequently asked questions
What is MLOps?
The practice of managing development, deployment, monitoring and retraining of machine learning models with software-engineering discipline.
Our data is messy — can we still start?
Yes. Most projects begin with a data inventory and a short data-preparation phase.
Which data platforms do you work with?
PostgreSQL, BigQuery, Snowflake, Databricks, Microsoft Fabric and open-source tooling.
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