Project Management
Planning, prioritisation and task tracking, stakeholder coordination, risk management and adaptation to change with a practical approach, using Agile when it adds value.
Data Engineering · Cloud · Delivery
Rosalía Contreras Moreira
Data & Cloud Engineer with experience in technical project coordination and delivery.
I align business, technical teams and technology to deliver data and cloud solutions with real impact and measurable results.
About me
I am a Data & Cloud Engineer with experience in data environments and Cloud platforms (GCP/Azure). Throughout my career I have worked on technical projects collaborating closely with engineering and business teams, participating in planning and task tracking from a primarily technical role.
I feel comfortable translating technical language into clear decisions, bringing order, structure and context to facilitate teamwork. I am especially interested in how clarity in execution and communication influences the ease and effectiveness of technology adoption.
In addition to my technical profile, I design and develop landing pages and simple websites for small businesses, focused on clarity, structure and lead generation.
- Hybrid profile: Data Engineering and technical project work with a holistic vision.
- Experience in automation, pipelines and Cloud architectures.
- People-oriented, with a focus on communication and clarity in daily work.
- Design and development of landing pages and simple websites for small businesses.
- Continuously evolving: ongoing training, master's degree and new certifications.
What I do
I bring a mix of project vision and technical foundation so that technology decisions make sense for the business and are sustainable for the teams. This approach is also reflected in how I design websites and landing pages: clear structure, business focus and meaningful technical decisions.
Data & Cloud
Prior experience in data engineering and Cloud environments (GCP/Azure), pipelines, automation and technical best practices that help ensure projects move beyond the idea stage.
Business ↔ Technology Bridge
I help teams and clients understand what is being built, why, and how it impacts results, making sure the technical conversation is understandable and actionable.
Projects
Projects & use cases
Examples where technical work meets a Project Management approach.
AI & meeting management
Automation of daily stand-up summaries with generative AI
Design of a workflow to convert daily stand-up notes into clear summaries: blockers, next steps and owners. Format standardisation and partial automation.
Role: process definition, prompts, output structure and pilot test with the team.
Cloud adoption
Cloud tool adoption support for a technical team
Support during the transition to Cloud solutions (GCP/Azure), documenting processes and creating guides so the team could work consistently.
Role: liaison between business, technical team and best practice documentation.
Risk management
Academic project: risk management in data projects
Identification of technical and planning risks (dependencies, technical debt, deadlines, data quality) and proposal of mitigation measures.
Role: analysis, risk prioritisation and design of mitigation actions.
Experience
Transitioning from data engineering towards a technical Project Management role, combining hands-on experience in data and Cloud with ongoing training in project management.
Data & Cloud Engineer · transitioning to Project Manager
Technical role within data and Cloud projects, combining day-to-day work with intensive Project Management training. Involvement in the analysis, design and maintenance of data-driven solutions and coordination with other profiles.
- Design and maintenance of data pipelines in Cloud environments.
- Collaboration with multidisciplinary teams (business, development and infrastructure).
- Documentation and communication of technical progress and decisions.
- Participation in internal process improvement and automation initiatives.
Data Engineer
Strategic consultancy in capital markets · End-to-end management of data pipelines on GCP.
- GCP specialisation: design, maintenance and scaling of pipelines.
- BigQuery: maintenance of centralised multi-department data flows.
- Dataform & Dataproc: building scalable ETL processes.
- Data integration from Funnel into the GCP ecosystem.
- Structured and unstructured data ingestion management.
- Tools: BigQuery, Dataform, Dataproc, Python, StreamSet, Git, Spark, n8n.
Data Engineer
Innovation and technology consultancy, involvement in Cloud projects and predictive models.
- Enel: pipeline development in Data Lake/DWH for batch and streaming.
- API design and ingestion processes for heterogeneous datasets.
- Air Nostrum: support for predictive model, weather scraping and data extraction.
- Tools: Python (Streamlit, Pandas, Matplotlib), SQL, MongoDB, APIs, Azure, Git, Airflow.
Data Engineer
Strategic consultancy in innovation and technology · Projects focused on trends and DataOps.
- Horizon 2020: creation and cleansing of SQL database.
- Scraping and MongoDB for technology trend analysis.
- API integrations and pipelines for EPO, WIPO and Crunchbase.
- Tools: Python, Selenium, BeautifulSoup, PostgreSQL, MongoDB, APIs, Azure, Git.
Data Engineer · Data Analyst · IT Developer
Full career path across data, analysis, reporting, internal development and regulatory compliance.
- Data Engineer (2017–2019): reporting, data analysis, daily processes with Morningstar/Bloomberg.
- Data Analyst (2012–2017): support for investment strategies and institutional clients.
- IT Developer (2002–2012): intranet, web, advanced SQL, Solvency I/II/III.
- Tools: SQL Server, VBA, Excel, Python, Reuters, Bloomberg, HTML, ASP, JS, XML.
Education
Education & certifications
Combining a solid technical foundation with project management training.
Master's in Project Management
IEBS Business School
In progress · 2025
Specialised Master's in Digital Project Management with a focus on agile methodologies and management of digital transformation projects. Practical training in leading technical teams, strategic planning and delivering value in complex environments.
Areas of specialisation:
- Agile Methodologies: Scrum, Kanban, SAFe (Scaled Agile Framework), OKRs and Lean Change Management for distributed teams.
- Leadership & Change Management: Leading multidisciplinary teams, stakeholder communication and organisational change management.
- Financial Management: Lean-Agile budgeting, ROI analysis, cost management and value metrics for digital projects.
- Product Management: Product roadmaps, prioritisation using techniques such as MoSCoW, user stories, and collaboration with Product Owners.
- Risk Management: Identification, assessment and mitigation plans for risks in technical and infrastructure projects.
- Technical Environments: Coordination with DevOps teams, CI/CD pipeline management, Cloud projects (AWS/Azure/GCP) and AI/ML solutions.
- PM Tools: Jira, Confluence, Azure DevOps, MS Project, Trello, Asana and management reporting techniques.
💼 Practical projects completed: The master's includes a monthly practical project applied to real cases. To date: definition of OKRs for strategic team alignment, and creation of a digital product prototype with value proposition validation. In progress: implementation of an OKR framework in a training company pivoting towards consultancy, identifying strategic objectives to improve their competitive positioning, and development of a time management app with a functional prototype in Figma (flow design, interface and UX validation with AI).
Master's in Business Analytics & Big Data
IE Business School
Completed
Programme focused on the practical application of advanced analytics and Big Data technologies to drive decision-making and digital transformation.
- Advanced data analysis and machine learning.
- Big Data architectures: Hadoop, Spark, NoSQL, data warehousing and stream processing.
- SQL modelling and Python programming for analysis and prediction.
- Data visualisation and business-oriented storytelling.
- Data governance, privacy and applied ethics.
- Practical challenges: IBM Watson Challenge, Datathon and Big Data Startup.
Cloud Certifications
Microsoft Azure
Completed
Azure fundamentals certifications aimed at understanding the foundation of Cloud services and their impact on projects.
- AZ-900 · Azure Fundamentals.
- DP-900 · Azure Data Fundamentals.
Skills
Key competencies
A combination of Project Management, a solid technical foundation and interpersonal skills.
Project Management
- •Project planning and tracking.
- •Agile methodologies (Scrum, Kanban – learning and practice).
- •Stakeholder management and expectation alignment.
- •Status documentation and reporting.
- •Risk and dependency management.
Technology & Cloud
- •Data Engineering (pipelines, ETL/ELT).
- •Google Cloud Platform & Microsoft Azure.
- •Relational and non-relational databases.
- •Python for automation and data.
Soft skills
- •Active listening and empathy.
- •Clear communication with diverse profiles.
- •Teamwork and collaboration.
- •Adaptability and continuous learning.