Guilhermo – Microsoft Azure, Python, AWS

It is a data platform that brings innovation to digital transformation and empowers clients with cutting-edge software solutions to enhance their productivity. With expertise in Digital Finance, Enterprise AI & Data Solutions, and Platform Modernisation, GFT excels in technological innovation, partner collaboration, and industry knowledge.

• Designed and implemented scalable end-to-end data architectures on AWS, Azure, and GCP;
• Leveraged cloud-native services for storage, processing, and analytics.
• Created data models for structured and unstructured data;
• Ensured data integrity, performance, and scalability in diverse architectural scenarios;
• Integrated data from various sources to create a unified and accessible data ecosystem;
• Managed and optimized databases for performance and reliability;
• Led and mentored data teams to deliver high-quality solutions;
• Collaborated with cross-functional teams to align data architecture with business goals;
• Implemented robust data governance frameworks to ensure data quality and compliance;
• Established and enforced data security measures;
• Utilized cloud services such as Amazon Redshift, Azure Synapse Analytics, and Google BigQuery for high-performance analytics.

It is a data platform that brings innovation to digital transformation and empowers clients with cutting-edge software solutions to enhance their productivity. With expertise in Digital Finance, Enterprise AI & Data Solutions, and Platform Modernisation, GFT excels in technological innovation, partner collaboration, and industry knowledge.

• Implemented Python scripts for automation, monitoring, and various tasks;
• Pioneered innovative Data & Analytics solutions, enhancing decision-making processes;
• Executed complex Data stream processes using CDC (AWS DMS) for real-time data accuracy;
• Orchestrated precise configurations of DMS Endpoints and Tasks to optimize workflow efficiency;
• Utilized AWS Glue for intricate Data partitioning, enhancing data organization;
• Developed advanced Crawlers and Triggers in AWS Glue for automated data discovery;
• Led integration of AWS Athena, enabling the Data visualization team to execute swift, interactive queries;
• Drove significant improvements in data-driven decision-making, operational efficiency, and overall business performance.

It is one of the largest beer producers in the world and the biggest brewer in Latin America in terms of sales volumes.

• Led the technical direction of the Data Engineer team, defining architectures and delivering technical solutions for projects;
• Managed the aggregation, fusion, and accessibility of data from diverse sources, including Excel, SAP, 7L, Promax, etc;
• Facilitated data integration, serving as a bridge between IT, BI, and Analytics units;
• Designed information and data frameworks encompassing structured and unstructured data;
• Introduced cutting-edge technologies to enhance operational efficiency.
• Was responsible for DataLake architecture and ETL/ELT procedures;
• Engineered API integrations and web crawlers to generate actionable business insights;
• Handled extraction and processing of unstructured data, with a focus on optimizing queries;
• Leveraged extraction tools such as Talend and Data Factory;
• Conducted testing of programs and databases to rectify issues and implement necessary adjustments;
• Utilized a range of technologies and tools, including Python (particularly pandas, scrappy, and pySpark), Azure environment (Data Factory, Data Bricks, DevOps), and RPA's.

It is one of the largest beer producers in the world and the biggest brewer in Latin America in terms of sales volumes.

• Developed Data & Analytics solutions for clients;
• Explored Data & AI applications for fast value discovery, identifying relevant use cases and business insights;
• Collaborated with the account team to cultivate new opportunities and manage the service pipeline;
• Managed budgets and regional KPIs, providing project pipeline forecasting and analysis;
• Engaged as the primary technical liaison with local partners, including Accenture and Microsoft;
• Conducted research and development on Big Data architecture best practices and data modeling techniques;
• Oversaw the development of Business Intelligence projects and reports using Power BI;
• Led the architecture and deployment of big data cloud platforms within the Azure ecosystem.