Data Professional with 21+ years of experience in IT and Data Architecture, Data Engineering and Applied Data Science. Currently focused on Applied Machine Learning, Cloud, Big Data and their integrations with traditional enterprise architecture and products. Hard worker, geek at heart, guitar player, surfer, snowboarder, climber, natural leader, problem solver, challenger. Specialties: IT Architect, specialized in Data ( either Big or not ) Engineering and Science using the best of breed architecture for each scenario. My day-to-day technologies are Apache Spark, R, Python, PyTorch, Scala, SQL, Kafka, MPP databases, all Machine Learning tools and skills on modern or legacy Hadoop stack. My current position enables me to shape and drive the latest technology to answer questions and empower business decisions. Experience:• Working as Sr Program Manager at Microsoft Azure Data. Driving services, features and experiences for Big Data and Machine Learning products.• Worked as Sr Data & Applied Scientist at Microsoft (AI Engineering Product Group). Using entire Azure AI stack to accelerate Partner and Customer AI solutions.• Worked as Sr Consultant at Microsoft Services Brazil on Data & AI domain. Using entire Azure Advanced Analytics stack, which is awesome. • Worked for Oracle Corporation ( Advanced Customer Support team ) on several mission critical solutions in more than 40 clients, attended advanced database disaster recovery cenarios, performing migrations and tuning on Oracle products.• Logical and physical solution design, including high availability solutions, advanced backup strategies and networking.• Experience in performance tuning of both Databases and Application Servers• Strong experience with Oracle and Microsoft products• Advanced experience with UNIX-like operating systems: Linux, Solaris, HP-UX, AIX• Major Programming in Python, R, SQL, Java, Perl, Shell Scripting, Octave and C based languages• Proficient Programming in Scala (building the skill), C++, Web technologies ( HTML, CSS and JavaScript languages and technologies )• Usage of advanced programming concepts and paradigms: Funcional, Event, MapReduce, Machine Learning (specially around forecasting and recommenders) and Deep Learning (CNN, RNN, Seq2Seq, U-Net, HRNet, etc)• General experience in programming, developed integration systems and customized End-2-End solutions.