Luís Cabanas Email & Phone Number

Londres, Inglaterra, Reino Unido

Energy & Resources- Spearheaded the implementation of an ELT pipeline, leveraging cloud infrastructure to support a targeted flat file-oriented strategy for efficient data ingestion into reporting services. Utilized Striim for data extraction, while transformations were seamlessly executed by dbt and Snowflake using SQL. Azure Functions played a pivotal role in validating curated datasets, ensuring their availability as flat files for streamlined data consumption.- Executed infrastructure deployment with precision, adhering to CI/CD best practices using Terraform and Azure DevOps as key tools. Implemented a robust testing strategy with coverage thresholds in the release pipeline, ensuring the reliability and integrity of the deployed components.- Collaborated closely with diverse client stakeholders to establish comprehensive data requirements from the ground up, guaranteeing alignment with critical business logic and contributing to the success of the data-driven strategy.Finance and Insurance Sector- Implementation of a cutting-edge custom integration engine, designed to be system-agnostic and featuring advanced schema validation for structured and semi-structured (nested JSON files) data. Leveraged AWS CDK in Typescript with varying levels of abstraction to facilitate end-to-end infrastructure deployment, ensuring scalability and resource optimisation- Design of an event-oriented architecture using AWS EventBridge, incorporating automated schema inference through AWS Glue Crawlers and providing querying capabilities via AWS Athena. Enhanced end-user engagement through advanced notification streams using native AWS components (AWS SNS and Lambda), elevating system responsiveness and overall user experience- Engagement with CI/CD best practices through GitHub and complex, environment-specific Build and Release pipelines, fostering a culture of continuous improvement and rapid iteration. This resulted in quicker development cycles and agility.

Energy & Resources:- Implementation of the first ready-to-use Full-Stack Data Governance tool in Portugal, integrated with the existing operational, analytical, and reporting layers, providing Data Catalog, Data Lineage, and Data Quality solution components;- End-to-end governed data domain implementation of the asset model in compliance with the existing requirements and Data Governance principles;- Workflow packages to serve as blueprint for Stewardship definition and Cataloging initiatives;- Development of a CI/CD pipeline to automate technical lineage ingestion on Collibra leveraging Azure DevOps, Azure Data Factory, Azure Functions, and Azure Blob Storage;- Assessment of the maturity of the as-is data landscape, addressing the Data Governance target operating model, logical building blocks, and main priorities;- Knowledge transfer initiatives to stimulate engagement and adoption of the tool.Technology, Media & Telecommunications:- Migration of the on-prem Hadoop cluster to the AWS ecosystem, including daily operation, historical information, and full data reconciliation;- Deployment of custom ingestion pipelines for complex data lake streams with NiFi, and customised Sqoop/JDBC importers leveraging tailored frameworks for resource preparation;- Transformation pipelines for data lake streams with AWS S3, AWS EMR, Docker, and AWS Aurora;- Maturity assessment for the whole scope of the business and technical layers to engage with a Data Governance framework;- Conception of the Data Governance Target Operating Model combining functional requirements and technical compatibility with state-of-the-art Governance tools;- Onboarding of about 200 stakeholders on the initiative through hands-on workshops and product demonstrations;- 5-year span product roadmap design contemplating a step-by-step integration of the different business units according to the highlighted maturity dimensions.

Transportation, Infrastructure, Utilities & Services:- Development of custom Collibra metadata extraction pipelines for complex data lake data leveraging AWS S3, AWS Lambda, and Databricks for structured and semi-structured data;- Deployment of work packages providing enhancements to the Data Catalog, compliant with Governance requirements and the existing architecture;- High-level design of a conflicting schema resolution mechanism within Collibra and respective workflow package development and deployment on different environments;- Stewardship framework design, definition, and deployment, by integration of Collibra with the client’s directory, and mapped users and roles;- Blueprint for a customised notification stream system within the Data Catalog scope.

Lisboa

Lisboa

Master'S Degree, Bioengineering And Biomedical Engineering

Master Of Science - Ms, Gene/Genetic Therapy, 17

Activities and Societies: Testing polymeric based nanosystems to perform a safe and efficient in vitro delivery of genetic material.

Biomedical Engineering

Studied one semester abroad concerning the Erasmus+ exchange programme.