I am a Computer Engineer and PhD in Informatics with extensive experience designing and delivering enterprise data architectures, cloud data platforms, and scalable data pipelines.
I specialize in Microsoft Azure data services, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Azure HDInsight, Data Lake, and Cosmos DB. I build solutions spanning data ingestion, transformation, storage, analytics, governance, security, and compliance.
I have strong hands-on experience with Python, PySpark, T-SQL, PL/SQL, ETL development, enterprise data warehousing, and cloud database migration. I work with Databricks to implement reliable Lakehouse and data engineering solutions.
I am experienced in DevOps and platform engineering practices, including Azure DevOps pipelines, CI/CD, infrastructure as code with Terraform, Docker containerization, Kubernetes, GitHub, and Linux/Unix environments.
I hold Oracle Database Administrator certifications across Oracle 11g and 12c, as well as Microsoft Azure, Microsoft Fabric, and Databricks certifications. My background combines database administration, cloud architecture, data engineering, and technical leadership.
I have delivered remote projects for organizations in Spain, Mexico, Colombia, and Argentina. I focus on designing secure, maintainable, and high-quality data platforms while supporting architecture reviews and recommending technologies that optimize business data capabilities.
Designed Azure data architectures and assessed compatibility between on-premises components and cloud services. Developed enterprise-level data architectures and pipelines using Databricks.
Established practices for data ingestion, storage, processing, analytics, governance, security, and compliance. Led architecture and code reviews and integrated Databricks with cloud ecosystems, data warehouses, and BI tools using Python and PySpark.
Designed Azure architectures, including on-premises component compatibility, Azure SQL Database solutions, and analytics platforms based on Azure Data Factory, Databricks, Synapse, and HDInsight.
Developed data extraction ETLs and enterprise data warehouse solutions using Python, T-SQL, PL/SQL, Data Lake, Cosmos DB, and BigQuery. Applied Terraform, Docker, Kubernetes, and Azure DevOps CI/CD practices.
Built and supported Azure-based data engineering solutions using Azure Data Factory, Databricks, Synapse Analytics, HDInsight, and Azure SQL Database. Designed cloud architectures with consideration for hybrid and on-premises integration.
Developed ETL processes and enterprise data warehouse workloads using Python, T-SQL, PL/SQL, Data Lake, Cosmos DB, and BigQuery. Used Terraform for infrastructure as code and Docker and Kubernetes for container management.
Delivered remote Azure data engineering and architecture services, including hybrid architecture design, Azure SQL Database, Azure Data Factory, Databricks, Synapse, and HDInsight implementations.
Created ETL and data transformation solutions using Python, T-SQL, and PL/SQL. Worked with enterprise data warehouse technologies, Data Lake, Cosmos DB, BigQuery, Terraform, Docker, Kubernetes, and Azure DevOps CI/CD pipelines.
Designed Azure cloud and big data architectures with compatibility for on-premises components. Worked with Azure DevOps pipelines, Azure SQL Database, Azure Data Factory, Databricks, Synapse, and HDInsight.
Performed database migration-related work and developed data access and transformation solutions using Python, T-SQL, and PL/SQL. Supported CI/CD streams and Azure analytics platform implementations.
Designed and deployed Azure data platform infrastructure, including storage, connectivity, VPNs, virtual networks, subnets, firewalls, monitoring, and consumption optimization. Implemented security controls through NSGs, Azure Active Directory, roles, and permissions.
Worked with Azure DevOps, Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse, and Azure HDInsight. Supported database migrations and data transformation using Python, T-SQL, and PL/SQL.
PhD, Informatics
PhD in Informatics.
Master's, Management in Information Technology
Master in Management in Information Technology.
Engineer, Informatics Engineering
Degree in Informatics Engineering.
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