Data Infrastructure & Architecture

In today’s data-driven world, a resilient and scalable data infrastructure is the foundation of every competitive business. QFD designs and deploys end-to-end data architectures — from ingestion pipelines and data lakes to real-time streaming and analytical warehouses — tailored to your organization’s unique needs.

Our certified architects leverage the latest cloud-native technologies (AWS, Azure, GCP) and open-source frameworks (Apache Spark, Kafka, Airflow, dbt) to build systems that scale seamlessly, maintain data integrity, and enable real-time decision-making across your entire organization.

Key Offerings

• Cloud data lake and lakehouse design (AWS S3/Glue, Azure ADLS, GCP BigLake)
• Real-time streaming pipelines (Apache Kafka, AWS Kinesis, Google Pub/Sub)
• Enterprise data warehouse & BI integration (Snowflake, BigQuery, Redshift)
• ETL/ELT pipeline orchestration (Apache Airflow, dbt, Prefect)
• Data governance, quality, and security frameworks
• Migration from on-premise to cloud-native architecture

Whether you’re building a new data platform from scratch or modernizing a legacy infrastructure, QFD’s engineers will guide you through every step — from architecture design to operational handover.

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