Build Scalable Data Infrastructure for Your Business
Expert data engineering freelance consultant in Switzerland. I design and build robust data pipelines, ETL processes, and data warehouses that power your analytics and ML systems. Specializing in cloud-native architectures on AWS, Azure, and GCP for Swiss businesses.
Scalable data pipelines handling millions of records
Cloud-native solutions on AWS, Azure, GCP
Expertise in modern data stack (dbt, Airflow, Spark)
Real-time and batch data processing
Data quality and monitoring frameworks
Cost optimization for data infrastructure
DataOps best practices and automation
Experience with Swiss data compliance requirements
Switzerland-based with flexible engagement models
Build robust, scalable data pipelines for ETL/ELT processes. Handle batch and real-time data ingestion from multiple sources with proper error handling and monitoring.
Design and implement modern data warehouses on Snowflake, BigQuery, or Redshift. Optimize schemas, implement partitioning, and ensure query performance.
Design cloud-native data architectures on AWS, Azure, or GCP. Leverage managed services for cost-effective, scalable solutions.
Build data lakes for storing structured and unstructured data at scale. Implement proper cataloging, governance, and access controls.
Implement real-time data processing with Kafka, Kinesis, or Pub/Sub. Build systems for event-driven architectures and real-time analytics.
Implement data quality checks, validation rules, and monitoring systems. Ensure data reliability and catch issues before they impact downstream systems.