Based in Netherlands, this Senior Data Architect specializes in PostgreSQL, Apache Flink, and Kubernetes, developing real-time event-driven architectures. Their work with RBAC and encryption ensures secure data handling.
Speciality: IAM
Senior Data Architect
This Indian Senior Data Architect specializes in AWS Redshift, PostgreSQL, and Apache Airflow, developing scalable cloud architectures for enterprise analytics. Their expertise in data governance and security ensures compliance with GDPR and IAM policies.
Senior Data Architect
An Italy-based Senior Data Architect with expertise in MongoDB, Apache NiFi, and Databricks, implementing scalable, event-driven architectures. Their machine learning integrations enhance predictive analytics.
Senior Data Architect
Based in Portugal, this Senior Data Architect focuses on data warehousing methodologies using SQL Server, Informatica, and Snowflake, driving efficiency through automated ETL pipelines and GDPR-compliant governance.
Senior Data Architect
Located in Spain, this Senior Data Architect leverages Databricks, Azure Synapse, and Google Pub/Sub to implement real-time analytics solutions. Their Kimball-based modeling improves warehouse performance.
Senior Data Architect
A Bulgarian Senior Data Architect with a deep understanding of AWS Redshift, Apache Airflow, and Matillion, optimizing multi-cloud data strategies. Their proficiency in GitHub Actions enables automated infrastructure provisioning.
Senior Data Architect
A Hungarian Senior Data Architect with expertise in Google BigQuery, Apache Spark, and SQL Server, focusing on big data processing and distributed computing. Their Collibra-driven metadata management optimizes data lineage tracking.
Senior Data Architect
Based in the Czech Republic, this Senior Data Architect specializes in AWS Glue, Apache Kafka, and MongoDB, creating real-time analytics platforms. Their Docker-based CI/CD pipelines ensure rapid scalability.
Senior Data Architect
A Polish Senior Data Architect with a strong background in Snowflake, PostgreSQL, and Terraform, implementing cloud-based architectures with advanced data governance controls. They streamline ETL processes to enhance efficiency.