Head of Data & Analytics, responsible for organizing and managing the data and analytics structure. Prioritizes quality deliveries, equipping teams for data solution implementations through training, certifications, and workshops. Oversees all activities of Big Data and Analytics project managers, directs project strategies, analyzes, and proposes data architectures and solutions. Supports the commercial team in the pre-sale of Big Data and Analytics projects and solutions.

Getting Started with Google Kubernetes Engine

 at Anhembi Morumbi University
2010 - 2012


12/1/2020 - 7/1/2021

Served as Head of Data & Analytics, organizing and managing the data and analytics structure with a focus on prioritizing quality deliveries and ensuring teams are trained for data solution deliveries. Promoted extensive training, certifications, and capacity-building workshops to enhance team capabilities. Monitored activities of managers overseeing Big Data and Analytics projects, directed strategic actions within projects, and analyzed and proposed data architectures and solutions for clients. Supported the commercial team in pre-selling Big Data and Analytics projects and solutions, while strengthening relationships with technical teams of major technology partners, including AWS, Google, Azure, Cloudera, and Oracle.


9/1/2019 - 7/1/2020

Developed and implemented analytical solutions to enhance companies' data-driven decision-making processes. Promoted a Data-Driven culture, utilizing tools such as Tableau, Power BI, Watson, and Cognos for comprehensive data analysis and visualization. Gained proficiency in Data Architecture and Engineering by designing and managing data ingestion and processing pipelines using Cloudera technologies like Impala, Hive, Spark, and Kudu. Worked extensively in BI Big Data environments employing Talend, KNIME, Alteryx, and Tableau Data Prep solutions. Applied machine learning techniques and predictive analytics using R and Python. Leveraged cloud computing platforms, including AWS, Azure, and IBM, to develop scalable data solutions. Continuously sought innovative tools and methodologies to enhance customer satisfaction and meet evolving business needs.


1/2/2019 - 10/2/2019

Coordinated and implemented improvements in data visualization processes and information dissemination, with a focus on advancing data-driven decision-making. Utilized solutions such as Tableau, MicroStrategy, Power BI, and Looqbox to enhance visual analytics. Engineered data architecture and processing for Big Data environments using Cloudera (Impala, Hive, Spark, Kudu) and Teradata, incorporating tools like Knime, Alteryx, and Tableau Data Prep for efficient data workflows. Developed processes for machine learning using R and Python, bringing cutting-edge innovations such as AWS Alexa integration, image recognition, and augmented reality into operational frameworks.


1/2/2018 - 1/1/2019

Held the position of Head of Big Data / Analytics and Data Engineer / Architect in São Paulo, Brazil, managing the analysis and development of new architectures for Big Data technology innovation projects. Focused on improving data mining and ingestion (ETL) processes to create analytical values, facilitate decision-making, and generate new business insights. Developed a Data Lake architecture, established Data Governance processes, and ensured thorough process documentation. Applied forecasting models for business optimization and initiated processes for Machine Learning. Utilized a range of technologies including Hadoop Cloudera, Hortonworks, Scala, Python, Spark, Hive, HBase, Kafka, Flume, Sqoop, and Redis. Conducted analytics using Tableau and Power BI. Worked with cloud platforms such as Azure, AWS, and Google Cloud. Managed projects using Agile, Scrum methodologies, and various tools such as Jira, Bitbucket, and Confluence.


1/2/2018 - 7/1/2018

Engineered and architected data solutions, focusing on the development and enhancement of Big Data architectures for technological innovation projects in São Paulo e Região, Brasil. Spearheaded improvements in data mining and ETL processes to enhance data ingestion, creating critical analytical values and decision-making information, which facilitated new business visions. Designed and implemented Data Lake architectures and established Data Governance processes, including thorough process documentation. Applied forecasting models for business optimization and spearheaded process initiatives for Machine Learning. Utilized a variety of advanced tools and technologies, such as Cloud Azure, Hadoop, Python, Spark, Hive, Tableau, Oracle database, and HBase. Adhered strictly to Agile methodologies, incorporating Scrum practices and utilizing tools like Jira, Bitbucket, and Confluence to ensure project management and collaboration efficiency.


1/2/2017 - 1/1/2018

Analyzed and developed new architectures for Big Data technological innovation projects, focusing on the implementation of process improvements in data mining and ingestion (ETL). Created analytical values and decision-making information, generating new business insights. Developed Data Lake architecture and Data Governance processes, alongside comprehensive process documentation. Engaged in Analytics development and Tableau architecture setup, and managed Big Data environments in a staging setting. Utilized the Hadoop platform with Cloudera distribution, employing tools such as Cloudera Manager, Linux, Hive, Impala, Spark, Sqoop, R, Python, Scala, Flume, Solr, Kafka, Zeppelin, and Tableau 10.4.


1/2/2016 - 1/1/2017

Analyzed and developed new architectures for Big Data technological innovation projects, focusing on implementing improvements in the processes of data mining and ingestion (ETL). Created analytical values, produced decision-making information, and generated new business insights. Developed Data Lake architecture and Data Governance processes, ensuring thorough process documentation. Applied forecasting models to optimize business operations and initiated process enhancements for Machine Learning. Utilized the Hadoop Cloudera distribution platform and tools such as Hive, Impala, Kudu, Spark, Sqoop, R, Python, Flume, Kafka, Hue, Zeppelin, Alteryx, SnapLogic, Tableau 10, and Amazon AWS.


1/2/2016 - 1/1/2017

In the role of Data Engineer in the Analytics area based in São Paulo, Brazil, developed expertise in enhancing data analysis and implementing predictive analytics for data traffic models. Managed data ingestion processes using ETL tools and leveraged a variety of technologies including Hadoop distribution Hortonworks 2.4, Hive, Sqoop, and Spark. Demonstrated proficiency in programming with Python and SAS, as well as experience with data warehousing solutions like Teradata. Utilized statistical analysis and data mining tools such as R, Knime, and Orange to facilitate data-driven decision-making and improve operational efficiencies.

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