Data Engineering, Data Lakes & Warehouses — Saudi Arabia

AI, analytics, and reliable reporting all stand on the same foundation: clean, governed, well-engineered data. Skyline builds the data backbone Saudi enterprises need — data lakes, warehouses, and modern lakehouses — that ingest from ERP, CRM, POS, IoT, and operational systems, transform raw feeds into trustworthy datasets, and serve BI, machine learning, and applications from a single governed platform. We design with a medallion approach (raw, cleaned, business-ready layers) so data lineage is clear and every downstream report or model draws from a consistent source.

We engineer pipelines (ETL/ELT), real-time streaming and change-data-capture, master-data management, data quality, cataloguing, and observability on the platform that fits you — Microsoft Fabric and Azure Synapse, Databricks and Delta Lake, Snowflake, or open-source Spark stacks. Crucially for the Kingdom, we architect for data sovereignty: keeping regulated and personal data within in-Kingdom cloud regions or your own environment, in line with PDPL and SDAIA expectations, with cross-border transfer handled deliberately rather than by accident.

• Data lake, warehouse, and lakehouse design and build (medallion architecture).
• ETL / ELT pipelines, real-time streaming, and change-data-capture replication.
• Connectors to SAP, Oracle, Odoo, Dynamics, databases, files, IoT, and SaaS sources.
• Master data, data quality, cataloguing, governance, and observability.
• In-Kingdom / sovereign deployment with PDPL-aware residency and access controls.

Whether you are consolidating siloed systems, preparing data for generative AI, or replacing brittle Excel-and-script reporting, Skyline plans the architecture, builds the pipelines, migrates your data, and hands over a maintainable platform — with documentation and optional managed operations. We start from your actual sources and reporting goals, not a template, so the platform earns its keep from day one.