Mariano J.

MG-IB is a research and technology organization focused on data-driven solutions and applied research initiatives.

• Designed and developed a complete data platform integrating ETL pipelines, relational databases, and analytical reporting capabilities.
• Built a data visualization application using Python, Dash, and Plotly, enabling users to access and explore analytical insights.
• Defined the technical and data architecture, including SQL Server data modeling and a Bronze/Silver/Gold data architecture.
• Supervised the technical activities of two PhD researchers, supporting consistent implementation and integration.
• Integrated data processing and analytics components into a unified platform architecture.
• Implemented data quality and traceability mechanisms, including anomaly detection, consistency checks, and user action audit trails.

Applied research activity focused on semantic technologies, knowledge representation, and data integration.

• Conducted research on ontologies and knowledge graph technologies.
• Developed Python tools for structured data processing and analysis.
• Queried RDF datasets using SPARQL for semantic data retrieval.
• Integrated heterogeneous data sources into semantic models.
• Applied semantic technologies to data extraction and integration challenges.

Morgan Stanley is a global financial services company providing investment banking, wealth management, and institutional securities services.

• Designed and optimized critical data pipelines supporting financial data processing.
• Developed and maintained ETL processes for enterprise data integration and transformation.
• Implemented complex SQL solutions using SQL Server to process large-scale datasets.
• Created Python-based data processing scripts to support operational workflows.
• Orchestrated scheduled workloads using enterprise automation tools.
• Managed deployments through CI/CD processes and version control systems.

Citibank is a multinational banking institution providing retail, corporate, and investment banking services.

• Designed and maintained critical ETL pipelines supporting banking operations.
• Developed ETL workflows using AB Initio for enterprise data processing.
• Built advanced SQL solutions across Oracle, Teradata, and SQL Server environments.
• Automated operational workflows using AutoSys scheduling tools.
• Coordinated a team of six ETL developers during the final phase of project delivery.
• Supported data integration activities across multiple banking systems.
• Improved the maintainability of recurring data processing operations through automation.

Ergo Renova provided data integration and information management services for enterprise clients.

• Developed ETL processes using IBM DataStage Parallel

• Implemented SQL queries for data extraction and transformation workflows

• Supported data integration activities across Oracle and Teradata environments

• Assisted with testing and validation of ETL processes

• Contributed to maintenance of enterprise data processing solutions

Stefanini is a global technology services company providing IT outsourcing, infrastructure management, and support services across multiple industries.

• Administered Linux and Windows server environments, ensuring system availability and operational stability

• Configured and monitored infrastructure monitoring tools to support proactive incident detection

• Managed server-related incidents and coordinated resolution activities with technical teams

• Performed maintenance activities across enterprise server infrastructure environments

• Collaborated with infrastructure and operations teams to improve service continuity and reliability

Stefanini is a global technology services company providing IT outsourcing, infrastructure management, and support services across multiple industries.

• Analyzed operational quality indicators to support service performance monitoring

• Produced reports and dashboards using Excel for operational and management teams

• Developed reporting automation tools using Excel VBA, reducing manual reporting effort

• Tracked service incidents and contributed to process improvement initiatives

• Supported corrective actions aimed at improving service quality and operational consistency