Storage Orchestration Development of ELT processes
The development of Business Intelligence (BI) and data management solutions relies on structured environments such as Data Lakes, Delta Lakehouses, Data Marts, and Data Warehouses, supported by automated ELT (Extract, Load, Transform) processes. A modern and effective approach to organizing these pipelines is the Medallion Architecture, which structures data into Bronze (raw), Silver (cleansed), and Gold (business-ready) layers—ensuring data quality, traceability, and scalability. The Delta Lakehouse architecture plays a key role by combining the scalability of Data Lakes with the reliability and performance of Data Warehouses through ACID transactions, schema enforcement, and unified support for batch and streaming workloads. Numerous tools support this architecture: Pentaho (flexibility), SSIS (integration with Microsoft ecosystems), Bash and Python (custom scripting), R (advanced analytics), Azure Data Factory (cloud-native orchestration), Apache Airflow (workflow orchestration), dbt (modular SQL-based transformations), along with Talend, Luigi, NiFi, Matillion, AWS Glue, Google Dataflow, Snowflake Tasks, and Databricks Workflows—each offering distinct advantages in building robust, automated, and adaptable data solutions.