Sacha Emmanuel Torres

Collaborated with business analysts to define and implement data models tailored to HR, Sales, and Quality needs
Designed and optimized data pipelines between various sources and Microsoft Power BI
Created analytical dashboards and KPIs
Created measures and tables in DAX language, including the calendar table
Applied performance tests to optimize queries and improve processing times
Used MS TEAMS, MS Project, and SharePoint in agile mode with weekly sprints
Technical Environment: Windows 11, SharePoint, MS SQL Server, Python Notebooks, Power BI, GitHub

Collaborated with business analysts to define and implement data models tailored to HR, Sales, and Quality needs, Designed and optimized data pipelines between various sources and Microsoft Power BI, Created analytical dashboards and KPIs (creating measures (aggregation, ratio) and tables (including the calendar table) in DAX language), Applied performance tests to optimize queries and improve processing times, Project management: MS TEAMS, MS Project, SharePoint in agile mode with weekly sprints., Technical Environment: Windows 11, SharePoint, MS SQL Server, Python Notebooks, Power BI, GitHub.

Developed and optimized ETLs in Python for data integration from SAP and PLM
Designed data models adapted to business needs
Automated data flows for Power BI dashboards using DAX language queries
Reduced data preparation time by 40%
Implemented unit and integration tests to ensure the quality of data pipelines
Collaborated closely with stakeholders to define analytical needs and KPIs
Used Airbus Kanban tool, Google Meet, MS TEAMS, MS Project, and SharePoint in agile mode with weekly sprints
Technical Environment: Windows 11, Google Docs, Google Suite, Python 3.10, Pandas, Git with Gogs, Power BI, SAP (SAP Logon), PLM, Synapse Airbus

Developed and optimized ETLs in Python for data integration from SAP and PLM, Designed data models adapted to business needs (HR, Finance, Quality, Production), Automated data flows for Power BI dashboards (using DAX language queries), reducing data preparation time by 40%, Implemented unit and integration tests to ensure the quality of data pipelines, Collaborated closely with stakeholders to define analytical needs and KPIs, Project management: Airbus Kanban tool, Google Meet, MS TEAMS, MS Project, SharePoint in agile mode with weekly sprints., Technical Environment: Windows 11, Google Docs & Google Suite, Python 3.10, Pandas, Git with Gogs, Power BI, SAP (SAP Logon), PLM, Synapse Airbus.

Adapted client interfaces according to specific business needs
Created custom modules optimizing data flows between applications
Used Odoo project management module with Kanban, ticketing, and wiki, and Rocket.chat for communication in agile scrum mode with weekly sprints
Technical Environment: Linux Ubuntu, PyCharm, Odoo (CE & EE)

Adapted client interfaces according to specific business needs, Created custom modules optimizing data flows between applications, Project management: Odoo project management module with Kanban, ticketing, and wiki, and Rocket.chat for communication in agile scrum mode with weekly sprints., Technical Environment: Linux Ubuntu, PyCharm, Odoo (CE & EE).

Created a document management application for legal acts and various documents
Created a project management system for the creation of a photovoltaic solar power plant
Created document management and project management modules with Kanban and pop-up alerts
Wrote requirements documents for the first deliverable of the application
Technical Environment: Linux Ubuntu, vscode, VPS OVHCloud, gitlab epsilon, ODOO (CE & EE)

Created a document management application (legal acts, various documents) and a project management system for the creation of a photovoltaic solar power plant, Created document management and project management modules with Kanban and pop-up alerts, Wrote requirements documents for the first deliverable of the application, Technical Environment: Linux Ubuntu, vscode, VPS OVHCloud, gitlab epsilon, ODOO (CE & EE)

Designed and developed ETL pipelines for the postal data warehouse
Created interactive dashboards with Python (Streamlit, Folium)
Optimized SQL queries to improve analysis performance
Applied ETL methodologies and respected data quality standards
Used BI tools (Tableau, Power BI) to create visualizations and DAX measures for converting geographic data
Used Kanban, Confluence, JIRA, and TEAMS for documentation and communication in agile scrum mode with 2-week sprints
Technical Environment: Windows, Dataiku DSS, Power BI, Tableau, Python 3.9, PostgreSQL, MS SQL Server

Designed and developed ETL pipelines for the postal data warehouse, Created interactive dashboards with Python (Streamlit, Folium), Optimized SQL queries to improve analysis performance, Applied ETL methodologies and respected data quality standards, Used BI tools (Tableau, Power BI) to create visualizations (especially geographic maps) and DAX measures for converting geographic data, Project management: Kanban: Confluence, JIRA as a documentation Wiki, and TEAMS for communication in agile scrum mode with 2-week sprints., Technical Environment: Windows, Dataiku DSS, Power BI, Tableau, Python 3.9, PostgreSQL, MS SQL Server.

Developed Python applications and APIs for extracting and analyzing medical data
Designed data models adapted to scientific research
Optimized queries and performance of deep mining applications
Used NoSQL technologies (AstraDB) for storing and analyzing large volumes of data
Used Trello, Gantt project, and Slack for project management and team communication in agile mode with weekly sprints
Technical Environment: Dual boot Windows/Debian, Python 3, Pandas, Excel, University cloud tools

Developed Python applications and APIs for extracting and analyzing medical data, Designed data models adapted to scientific research, Optimized queries and performance of deep mining applications, Used NoSQL technologies (AstraDB) for storing and analyzing large volumes of data, Project management: Kanban: Trello, Gantt project, and Slack for project management and team communication in agile mode with weekly sprints., Technical Environment: Dual boot Windows/Debian, Python 3, Pandas, Excel, University cloud tools.