Cloud Migration: I have led multiple successful cloud migration projects, transferring complex architectures from on-premises environments to AWS and Azure while ensuring minimal downtime and business impact.Microservices and Containerization: With a deep understanding of microservices architecture, I have implemented robust, scalable, and fault-tolerant systems. I have also utilized containerization technologies, including Docker and Kubernetes, to ensure consistent, portable, and efficient application deployments.Reliability, Scalability, and Budget Management: My skills encompass designing and implementing high-availability and disaster recovery strategies that ensure the reliability and scalability of cloud-based services while optimizing cost.Infrastructure as Code (IaC): I proficiently leverage tools like Terraform, Ansible, and CloudFormation to automate the provisioning and management of cloud resources, which has led to high cost and time savings.CI/CD Pipeline: I have managed Continuous Integration/Continuous Deployment (CI/CD) processes for cloud infrastructures using tools like Jenkins, Azure DevOps, and AWS CodePipeline.Data Management and Stream Processing: With experience in big data technologies, RabbitMQ, Kafka, I have enabled the successful implementation of real-time data processing and stream analytics solutions.Search and Analytics: My experience includes working with Elasticsearch for powerful search capabilities, data analysis, and visualization.Databases: I have managed PostgreSQL, MySQL, Cosmodb, Dynamodb and MongoDB Security: I work closely with security teams to maintain a robust DevSecOps culture, implementing and monitoring security measures such as intrusion detection, threat vulnerability assessments, and identity and access management.Monitoring and Alerting: I've used tools like Datadog, Prometheus, Grafana, AWS CloudWatch, and Azure Monitor to implement monitoring and alerting solutions successfully.

Implementing performance and security best practices when performing ETL using Python, Spark, Scala and NifiWe are implementing the best procedures for Machine learning clustering using Nvidia GPUs, Kubeflow, and Airflow.Implementation of best practices for data governance.Kubernetes, Containers, and high-performance cloud and on-premise environmentHealth Care Project funded by the Melinda & Bill Gates FoundationPerform the analysis of datasets provided using the CIDACS data analysis environment. This safe and secure infrastructure offers remote access to de-identified/anonymized datasets and analysis tools for conducting studies related to covid-19, Tuberculosis. Hansen, Zika, Dengue and Chikungunya

• Designed and launched programs to enhance open banking and APIs, microservices, data governance, and privacy hosted by AWS, Azure, and GCP.• Implementation of batch layer, near real-time and real-time data using data bricks, azure functions, azure data factory, and azure event hub.• Implementation and integration of security best practices using Azure Key Vault and Encryption for MS SQL database.• Architecture and implementation of big data projects using Azure Data Lake, and Azure Synapse, providing data to be viewed via PowerBi and using SQL Server Analysis Services - SSAS, Data Mining & Analytics• Executing security analyses - Pentesting - Cloud Computing and Web apps and implementing Cloud Security best practices on Microsoft Azure.• Deploying microservices environments using docker and Kubernetes• Helping customers migrate from on-premises Big Data solutions to the cloud (hadoop, hive, hbase, kafka, nifi, databricks, azure data factory)

• Responsible for training data-driven data governance, Data quality, Data mining, Data Science, Big data, deep learning, and machine learning (Advanced Classes - Evenings and Saturdays).

• Implement the performance and tuning practices for on-premises environments integrated with Cloud, Amazon AWS, and Azure.• BigData - Hortonworks - NiFi / HDP / Hbase / Cassandra / Hive / Kafka and Kafka Streaming - (400 On-premise servers, 28PB, and more than 100 different external data sources).• High volume, high traffic, highly transactional applications with low latency• Data exploitation strategy and implementation.• DevOps automation tools (Puppet, Chef, Salt Stack, Ansible).• Agile (TDD/BDD, Scrum, KanBan, Lean, Continuous Integration, Continuous Deployment).• GDPR / Data Governance implementation using Informatica, Apache Atlas, and Apache Ranger.• Performing Penetration tests - Cloud Computing and Web apps and implementing Cloud Security best practices on Microsoft Azure and AWS Amazon.

• Geolocation project Implementation using data from cellular antennas and Powerbi as a data visualization tool, Nifi, Cassandra, Hbase, and Kafka, and hosted in a multi-cloud environment - Azure and Aws.Stream processing with apache Flink, Apache Kafka, and Amazon Kinesis.• Implement a data normalization and governance project using python, Hive, HBase, and apache atlas.• Migration of monolithic services to microservices using azure functions and app logic.• Analyze all corporate data and apply algorithms to detect hidden patterns. They offer business insights based on data from more than 350 million customers, always ensuring their privacy and other relevant information, so organizations can increase their security and productivity and enhance the end-user experience. Reach customer marketing goals by segmenting and customizing for the audience by giving access to a single communication channel.• Implementation of data ingestion layer with 12Gbps traffic using python, sqoop, oracle golden gate, and redhat.• Migration of billing Amdocs products to a significant data architecture using the hortonworks platform.Reconstruction the data lake and implementing agile culture, focusing on data-driven and delivering big data as a tool.• Responsible for the implementation and architecture of the 4th platform project and Aura - A.I. projectUse the standardized URM data to identify which device models are used by customers and suggest the purchase of new devices.• Implement data ingestion project for more than 100 sources using python, spark, sqoop, HBase, hive, and oracle golden gate.• Spark and Kafka implementation for analysis and streaming large amounts of data in near and real-time.• Implementation of ELK Stack for monitoring and incident management. Integration with machine learning using spark ML to prevent incidents.

• Architecture and implementation of Big Data projects using Cloudera and HortonWorks.Planning, installing and configuring critical on-premise environments using Dell servers and storage, using RedHat and Suse. • Checking and Implementing performance and tuning analysis for SAP HANA environments.• Integration of on-premise environments with cloud computing, focusing on Microsoft azure and amazon AWS.• Specialized in performance and tuning for JAVA applications and Linux servers, having written a series of articles and best practices

• Worked in planning, architecture, and support of large projects for companies focused on e-commerce, financial markets, and banks.• Responsible for solving critical problems for the following clients: Vale, NET, Multiplus, TAM, Grupo Abril, Embrapar, Nextel, Globe, and Cetelem.• Specialised in B2C/B2B critical environments, focusing on performance and tuning using Linux RedHat, WebLogic Application Server, Load Balance, and Oracle Databases 8.• Responsible for implementing a monitoring system focused on JAVA applications and user experience.• Responsible for implementing Amazon AWS Cloud Computing environment

• Planned the architecture and support for large projects for companies focused on e-commerce, financial markets, and banks using WebLogic Application Server hosted by VMware ESX + RedHat Linux. • Responsible for solving critical problems for the following clients: Sodexo, Austin, Petrobras, Rodia, and SERASA - WebSphere Application Server 7, WebLogic Application Server 9, Apache HTTP Server, and Load Balance HTTP and TCP.• Responsible for the Atos Origin Brazil datacenter revitalization, with over 300 virtualization servers using VMware ESX, Cisco Nexus, Storages EMC, and Hitachi.• Answerable for restructuring the Sodexo web environment using virtualization technology VMware and IBM WebSphere Application Server 7 • Part of the team responsible for implementing electronic invoice projects at customers such as Sodexo and SERASA using WebSphere Application Server 7.• Answerable for analyzing and reporting performance and technical improvements for clients such as Sodexo, Austin, Petrobras, Rodia, and SERASA.

• Responsible for architecture and project management for international clients using Weblogic and Tuxedo.• Trained to provide support to Pre-sales teams and contracts above US$ 100 million.• Coordinated the network's third-level support team, which included 24 Senior Analysts.• Was responsible for coordinating globally the Middleware support team at GM and Circuit City, the United States' second largest e-commerce retailer.• Answerable for architecting application servers Weblogic Application Server, WebLogic Integration, WebLogic Portal, Aqualogic Service Bus, Aqualogic Data Services Platform, Tuxedo, and Oracle Application Server 9i/10g.

• Senior Web Architect - WebLogic Application Server 8 and 9, Apache HTTP Server, Performance and Tuning At GM/IBM - Super Bowl XLI.• I supported the GM websites - Apache HTTP Server 2.2 + Weblogic Application Server and JBoss 3 + WebSphere Application Server 6