This Argentina-based Senior Data Architect specializes in Snowflake, Cassandra, and Jenkins, enabling real-time data processing and seamless integration with cloud-native solutions. Their background in metadata managementoptimizes data governance strategies.
Speciality: Google Pub/Sub
Senior Data Architect
A Colombian Senior Data Architect experienced in Azure Synapse, Informatica, and Kubernetes, building resilient data lake architectures. Their expertise in Kimball methodologies enhances efficiency in analytical processing.
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.
Senior Data Architect
Located in Canada, this Senior Data Architect excels in Snowflake, Apache Kafka, and AWS Glue, implementing robust ETL/ELT pipelines and data warehousing strategies. They prioritize data governance and ensure compliance with GDPR standards.
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.
Senior Data Architect
Based in the United Kingdom, this Senior Data Architect specializes in AWS Redshift, PostgreSQL, and Apache Airflow, designing scalable data pipelines and optimizing cloud-based analytics solutions for enterprise applications. Their expertise in data modeling ensures high-performance warehousing and seamless integration.F4:F139
Mid-Level Data Architect
Based in United Kingdom, this Data Architect specializes in PostgreSQL, ETL pipelines, and Apache Airflow, ensuring efficient data orchestration and processing. Proficient in Python and SQL, they design scalable solutions that power business intelligence and real-time analytics.