Project management
Planning, prioritisation and follow-up of tasks, coordination with stakeholders, 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 delivery and coordination.
I bridge business, engineering teams and technology to deliver data and cloud solutions with real impact and measurable outcomes.
About me
I’m a Data & Cloud Engineer with experience in data platforms and cloud environments (GCP/Azure). Over time, I’ve progressively taken on coordination and delivery responsibilities in technical projects, acting as a bridge between business and engineering teams.
I feel comfortable translating technical language into clear decisions, prioritising, bringing order and helping people have the context they need to work better. I'm especially interested in how project management can make technology adoption easier in day-to-day work.
- Hybrid profile: Data Engineering + technical project delivery and coordination.
- Experience in automation, pipelines and Cloud architectures.
- Focus on people, communication and clarity in daily work.
- Constantly evolving: 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.
Data & Cloud
Previous experience in data engineering and Cloud environments (GCP/Azure), pipelines, automations and technical best practices that help projects go beyond ideas.
Business ↔ technology translation
I help teams and clients understand what is being done, why and how it impacts results, making sure technical conversations are understandable and actionable.
Projects
Projects and use cases
Examples where the technical side is combined with a Project Management approach.
AI & meeting management
Automation of daily stand-up summaries with generative AI
Design of a workflow to turn daily stand-up notes into clear summaries: blockers, next steps and owners. Standardisation of the format and partial automation.
Role: process definition, prompts, output structure and pilot test with the team.
Cloud adoption
Supporting Cloud tools adoption in a technical team
Support in the transition to Cloud solutions (GCP/Azure), documenting processes and creating guides so the team can work consistently.
Role: link between business, technical team and documentation of best practices.
Risk management
Academic project: risk management in data projects
Identification of technical and planning risks (dependencies, technical debt, timelines, data quality) and proposal of mitigation measures.
Role: analysis, risk prioritisation and design of mitigation actions.
Experience
Transition from data engineering towards a technical Project Management role, combining hands-on experience in data and Cloud with continuous training in project management.
Data & Cloud Engineer · transitioning to Project Manager
Technical role within data and Cloud projects, combined with intensive training in Project Management. Participation in the analysis, design and maintenance of data-based 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 progress and technical decisions.
- Participation in internal initiatives for process improvement and automation.
Data Engineer
Strategic consulting in capital markets · End-to-end management of data pipelines in GCP.
- Specialisation in GCP for designing, maintaining and scaling pipelines.
- BigQuery: maintenance of centralised multi-department workflows.
- Dataform & Dataproc: building scalable ETL processes.
- Data integration from Funnel into the GCP ecosystem.
- Management of structured and unstructured data ingestion.
- Tools: BigQuery, Dataform, Dataproc, Python, StreamSet, Git, Spark, n8n.
Data Engineer
Innovation and technology consulting, participating in Cloud projects and predictive models.
- Enel: development of pipelines in Data Lake/DWH for batch and streaming.
- Design of APIs and ingestion processes for heterogeneous datasets.
- Air Nostrum: support for a predictive model, weather scraping and data extraction.
- Tools: Python (Streamlit, Pandas, Matplotlib), SQL, MongoDB, APIs, Azure, Git, Airflow.
Data Engineer
Strategic consulting in innovation and technology · Projects focused on trends and DataOps.
- Horizon 2020: creation and cleaning of an 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
Complete journey in data, analytics, reporting, internal development and regulatory compliance.
- Data Engineer (2017–2019): reporting, data analysis, daily processes with Morningstar/Bloomberg.
- Data Analyst (2012–2017): support in investment strategies and institutional clients.
- IT Developer (2002–2012): intranet, website, 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 training in project management.
Master in Project Management
IEBS Business School
In progress · 2025
Master in Digital Project Management with agile methodologies. Combines leadership, change management and digital tools to lead transformation projects and digital products in complex environments.
- Leadership and change management in digital organisations.
- Agile methodologies and scaling frameworks (Scrum, Kanban, OKR, SAFe, Lean Change).
- Lean-Agile planning and budgeting with metrics-based tracking.
- Product management, risk management and working with technical teams (DevOps, AI, Cloud environments).
- Continuous learning: training, a PM master’s program, and cloud certifications.
Master 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, datawarehousing and stream processing.
- SQL modelling and Python programming for analysis and prediction.
- Data visualisation and storytelling oriented to business.
- 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 foundations of Cloud services and their impact on projects.
- AZ-900 · Azure Fundamentals.
- DP-900 · Azure Data Fundamentals.
Skills
Key skills
A combination of Project Management, solid technical foundation and interpersonal skills.
Project Management
- •Project planning and tracking.
- •Agile methodologies (Scrum, Kanban – in learning and practice).
- •Managing involved teams and aligning expectations.
- •Documentation and status 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 to change and continuous learning.
Contact
If you think my profile could be a good fit for your team or project, I'd be happy to talk.
📧 Email: info@rosaliacontrerasmoreira.com
💼 LinkedIn: linkedin.com/in/rosaliacontrerasmoreira
🌐 Web: rosaliacontrerasmoreira.com