Hive

Data Engineer with a specialization in ETL/ELT processes utilizing PySpark and expertise in cloud migrations. Proficient in Microsoft Azure and familiar with other cloud services, including AWS and GCP. Demonstrates strong discipline and teamwork capabilities. A proactive problem-solver committed to continuous learning and innovation in the data engineering field.

With a Bachelor in Computer Science and a Master's degree in Information Technology, extensive experience in software development has been cultivated since 2006. Specializing in senior development roles, proficiency encompasses Java, C#, and front-end development with Angular. Expertise in technical leadership and software development architecture is well established. Previous roles include data engineering, and the current position involves leading technical teams. A significant achievement includes an annual cost reduction of $800,000 for a major company, which was recognized with a prestigious engineering award.

With four years of experience in the data field, the candidate possesses expertise in Data Engineering and Analytics, emphasizing strategic initiatives and comprehending business rules to facilitate informed decision-making. The professional background encompasses roles both as a consultant and a direct employee, engaging consistently with SQL, Python, business intelligence tools, ETL processes, and handling large data processing using Spark in both on-premise and cloud environments. The candidate is proficient in French and English, with intermediate skills in Spanish and basic knowledge of Italian.

Data Engineer with over a decade of experience in the Information Technology sector, specializing in database management and Big Data environments. Expertise includes handling ETL/ELT processes leveraging technologies such as Apache Spark, Hadoop, and Hive.

Currently engaged in postgraduate studies at the University of São Paulo (USP), this data engineer exhibits a strong focus on data ingestion challenges and the comprehensive management of the data lifecycle, with a particular emphasis on data lineage.

Professional with over 18 years of experience in the pertinent field. The solid foundation in Data Science and Business Intelligence includes a Bachelor's Degree in Computational Mathematical Physics from the State University of Campinas (UNICAMP). A pioneering doctoral thesis in Neural Networks was completed in Brazil in 1995, followed by a Ph.D. from the Massachusetts Institute of Technology (MIT) in 2003, with a focus on Data Science and Business Intelligence.

Technical proficiencies encompass cloud computing (AWS), a variety of machine learning methodologies, Sagemaker, and Business Intelligence tools such as Power BI (DAX language) and Google Colab. Possesses professional programming expertise in Python and advanced knowledge in Excel. Additionally, experienced in the Apache Hadoop ecosystem, including Spark and Hive, as well as utilizing Docker and Kubernetes for containerization. Proficient in managing data lakes and data warehouses, and skilled in SQL, NoSQL, and MongoDB databases.

Telecommunications engineer with extensive experience in statistical data analysis and modeling utilizing Python tools such as Sklearn, Pandas, and Matplotlib. Proficient in AWS, Hadoop, Hive, Spark, NoSQL, ELT, and back-end development with Django REST. Experienced researcher and data analyst at a global telecommunications company, focusing on innovative solutions for 5G mobile networks, where responsibilities included research and development, solution implementation, and technical reporting aimed at patent creation. Developed expertise in machine learning and statistical analysis through various projects, enhancing skills in modeling, exploratory data analysis, and pattern recognition with Python libraries, as well as dynamic systems simulation and signal processing using Matlab & Simulink. Currently completing telecommunications research projects while seeking new opportunities in data science to address local market needs through applied engineering, data analysis, and strategic problem-solving.

A technology enthusiast since the age of 13, with a robust background in programming and a readiness to embrace new challenges and adapt to changes. This individual has accumulated seven years of experience in database management, demonstrating proficiency in SQL Server, MySQL, Oracle, Sybase, and MongoDB. Complementing this, there are five years of practice in C# and VB.NET, and an equal period devoted to front-end development. The expertise extends to three years working with React Native, JavaScript, Node.js, and Python, in addition to two years with Vue.js and one year with HIVE. Currently, this professional has been engaged in daily digital operations for over a year, and possesses knowledge in Kubernetes, Docker, and various data analysis techniques.