Responsible for coordinating the implementation of a new data platform, working closely with strategic partners such as Deloitte and a development team based in Germany. Key responsibilities and deliverables includeProject Management: Coordinated and supervised a multi-disciplinary team to ensure efficient and timely delivery of implementation projects.Partnership with Deloitte: Worked closely with Deloitte consultants to align strategies and implementation practices, ensuring compliance with industry best standards.International collaboration: Worked with the German team to integrate and implement data solutions, facilitating communication and coordination between multicultural teams.Technical Implementation: Oversaw the implementation of key technologies, including Azure Data Factory, Synapse, Storage Account and Databricks, using Terraform for infrastructure orchestration and automation.Data Architecture: Developed and managed a tiered data lake (bronze/silver/gold) integrating multiple data sources including Oracle, SAP and SharePoint.

Customer: CIP • Data Engineer / Data Arquitect• AWS Technologies - Using S3 as storage, Redshift to analytics and QuickSight to DataViz.• GCP (BigQuery), functional specifications and coordenate the changes with developers.

Customer: BAT• Agile project: Teams technical leader• Working with Azure Explorer - Blob Storage, Data Factory, Azure DevOps , Snowflake, Wherescape Red Database Aplication.Customer: Oi (Telecomunication Company)• Analytics project with data ingestion using Scala SparkCustomer: Globo (TV Station)• Project with all-cloud architecture.• Creation of Python jobs connecting and fetching information via Jira API and storage in Storage running on Datproc with Pyspark, Composer/Airflow schedule, analytics in BigQuery and reports and Dashboard DataStudio.Customer: Santander (Bank)• Working since the initial phase, understanding customer needs, suggesting business scenarios, creating the functional specifications, defining and creating data model, creating all the project documentation, checking all progress during implementation/post implementation phases, training documentation and execution.• Fraud Risk - Working closely to customer, receiving all requirements, validating, providing better solutions and definitions, creating functional specification, data model definition and creation, project implementation and post implementation phases.Customer: ELO (Credit card company)• Understanding the business need and scenarios, creating functional specifications, providing better definitions and solutions, working closely and supporting Marketing team during all project phases, analyzing and validating data.Customer: Sulamerica insurance• Project: Capture fraud scenarios• Understanding business need, defining project architecture, acting as a technical project leader and main contact for the project, creating functional specifications, testing, validation and project documentation.Customer: Cloud Plataform• Project: Professional Services Operation ( Cardinal ) • Acting as a local contact for google, project data cleansing documentation and rules definition, providing better scenarios and solutions.

• Project: Sales• Leading Latin America and Mexico projects and improvements.• Defining project requirements with customer, creating dimensional Modeling, projects reports and KPIs on Power Center and Power BI, Microsoft Azure creation.

Customer: Santander Bank• Agile project: Prevention Fraud• Working in the customer during all project phases, project definition, documentation, validation and data analysis. Customer: NET Communication Services• Project: KPIs • Defining user requirements, providing better KPIs, documentation, dimensional modeling.• OBIEE, ODI and Tableau.