In Spain, this Data Architect is an expert in SQL Server, Apache Beam, and Google Pub/Sub, providing scalable data engineering solutions for cloud analytics.
Speciality: Confluence.
Mid-Level Data Architect
Based in Bulgaria, this Data Architect specializes in DynamoDB, Apache NiFi, and DevOps CI/CD pipelines, ensuring smooth data flow in distributed environments.
Mid-Level Data Architect
A Hungary-based Data Architect skilled in Oracle, Informatica, and Power BI, ensuring efficient data warehousing and visualization for business intelligence strategies.
Mid-Level Data Architect
Based in Czech Republic, this Data Architect focuses on ETL tools, AWS Glue, and Python, designing cloud-native data pipelines that drive insights and automation.
Mid-Level Data Architect
A Romania-based Data Architect experienced in SQL Server, Apache Airflow, and Hadoop. They design and optimize large-scale data infrastructures, ensuring high availability and performance for enterprise applications.
Mid-Level Data Architect
Working in Chile, this Data Architect builds scalable solutions using Cassandra, Apache Beam, and DevOps tools. Proficient in Docker and Jenkins, they ensure smooth deployments and continuous integration of data platforms.
Mid-Level Data Architect
In Colombia, this Data Architect develops DynamoDB, NoSQL databases, and AWS Kinesis solutions. Leveraging expertise in real-time streaming and Python, they architect cloud-based data ecosystems for high-velocity data processing.
Mid-Level Data Architect
Based in Brazil, this Data Architect has a strong background in MySQL, Terraform, and Kubernetes. They specialize in DevOps for data, deploying scalable and highly available data environments in cloud-native architectures.
Mid-Level Data Architect
In Canada, this Data Architect builds robust data pipelines using Apache Spark, Databricks, and Kafka. Skilled in SQL and Scala, they enable big data transformations and real-time processing for modern analytics platforms.