Vasco Brito E Abreu Email and Phone Number

- Model, design and develop the company's data lakehouse architecture, serving a two-fold purpose of providing BI and serving Machine Learning models- Maintaining Metabase, the company's adopted self-service Data Analytics tool- Implementing a data culture across the company- Contribute to the Product team's roadmap, providing insights (A/B Testing, Product Analytics, etc)- Responsible for Machine Learning models developmentPython · Apache Spark · Machine Learning · PySpark · SQL · AWS Glue · AWS Athena · MetaBase · Terraform · PostgreSQL · Docker · Databricks · Git

Helping Code for All_ develop their next generation of bootcamps and talent identification systems, namely by defining a data storage, processing and governance strategy and providing assistance in choosing and implementing technical tools. Occasionally performing Data Engineering mentorship.

Participated on a short project helping C-MORE on their data science and engineering roadmap

- Develop Tamanna's data lakehouse architecture and serve the company with data insights, using Azure cloud (Azure Functions, Data Factory), Databricks and Airflow- Develop multiple data integrations and custom reporting solutions using a varied set of tools including Google Cloud Functions, BigQuery, Google Sheets, Google Apps Script, Looker Studio, Geckoboard, Microsoft Dynamics 365 (ERP), Puppeteer and others

Pleez is a Portuguese startup focused on helping restaurants to increase their revenue. Main tasks include: - Developing web scrapers to collect data from different delivery platforms - Designing and managing the company Data Warehouse - Generating data extractions to support business - Managing the cloud infrastructure - Developing the dashboard web application backend codeSome of the technologies and frameworks used are: JavaScript, Node.js, Python, MySQL, Google Cloud Platform, Docker, Kubernetes, Git, JIRA

Team Leader for the Stress Testing Data Analytics (STDA) team in Lisbon. Managing 10 team members of different nationalities. Ultimate responsible to ensure timely delivery, data quality, process enhancements, innovation, control, governance, documentation and present results, while supervising the team tasks with a solid and transversal understanding of the activity. Responsible for recruitment, team growth supervision and overviewing the members’ learning path, both in hard and soft skills, ensuring they can tackle all the projects the team is involved in. With STDA being a twofold team with an onshore location in Paris and nearshore in Lisbon - responsible to contribute to an effective and efficient communication within geographies and all contexts of the group.

Data model owner for the stress testing platform, allowing to stress capital and cost of risk on the credit risk perimeter of the bank. The main tasks include:- Development, maintenance and testing of Big Data data marts;- Data quality control;- Data ingestion, preparation and analysis;- Coordination and support of the group’s stress-testing activities, ensuring the implementation of all supervisory requirements.Tools & Technologies: Python, R, Spark, SQL, Hadoop, Hive, PySpark, Dataiku DSS

Lisboa E-Nova is the energy and environment agency for the city of Lisbon. The main tasks were: - Coordination of projects using advanced data analysis and reporting tools; - Development of decision-support systems, using urban energy, environment and sustainability data;- Leading the development of the first Lisbon Energy Observatory, a tool to monitor energy consumption and production trends across the city, in real time.Tools & Technologies: R, R Shiny, R Markdown, Python, Selenium, RESTful APIs, HTML, JavaScript

Joined IN+ as a R&D Fellow, in the Laboratory of Thermofluids, Combustion and Energy Systems, for research under master thesis project, which introduces a more efficient and powerful solution for microprocessor cooling needs, through a multiphase thermosyphon system with modified heat exchange surfaces.

Intern at the Launch, Change Control and Projects team. The main field of activity was production engineering and quality management. The primary tasks were: - Coordination of engine rework projects; - Supporting new engine derivatives launch projects; - Coordination of new supplier parts trials. Engine manufacturing and automotive industry knowledge was acquired, as well as management skills.

Summer job in the Product Process Improvement office, R&D department, from June to August 2014. Integrated a team of 13 professionals of 9 different nationalities. Tasks such as experimental tests, statistical analysis and reporting through dashboards were performed. The results obtained were a new dashboard created from scratch, in which the team showed its results and status, and the development of several solutions for the improvement of a product developed at PMI.

Summer job in the Production department, in July 2012. The main assignment was a logistics process improvement project, with an outcome of implementing the suggested approach, using the 5S methodology. Operational tasks were also performed as required by production line needs.