Junior Data Architect

Based in Costa Rica, this Junior Data Architect excels in SQL databases, DBT, and Looker, facilitating data pipeline orchestration. Their experience in Bash scripting and Git enhances version control and automation.

Junior Data Architect

In Chile, this Junior Data Architect specializes in MySQL, AWS Glue, and Power BI, driving data pipeline efficiency. Their knowledge of Python and Apache Airflow enables scalable data processing.

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.

Junior Data Architect

A Junior Data Architect from Colombia, proficient in SQL databases, Matillion, and Qlik Sense, they enhance data pipeline automation. Their skills in Python and JIRA aid in agile data architecture development.

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.

Junior Data Architect

Based in Brazil, this Junior Data Architect leverages PostgreSQL, Fivetran, and Tableau to build scalable ETL pipelines. Their background in business intelligence tools and Bash scripting helps create insightful data-driven reports.

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.

Junior Data Architect

In Mexico, this Junior Data Architect specializes in Oracle, Apache Airflow, and AWS Glue, supporting complex data transformations and cloud-based architectures. Their knowledge of SQL and version control ensures efficient database management.

Junior Data Architect

Operating in Canada, this Junior Data Architect excels in SQL Server, Apache NiFi, and Looker, streamlining data integrations and analytics solutions. Their expertise in Python and Git enables efficient data modeling and version control.