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Moises R.
Data Analyst

Spark
Scala
Sql
Python
Amazon Aws
Docker Cloud
Bio

A professional with a strong passion for technology and business, and the intersection of both leading to impactful results. Continuously expanding knowledge through various courses, articles, and active participation in relevant communities. Possesses extensive expertise in Big Data technologies, having contributed to numerous projects involving the Hadoop Ecosystem.

  • Big Data Analyst
    3/1/2021 - Present

    Developed and implemented an ETL platform in the Cloud, focusing on efficient data consumption and storage from various systems. Gained technical expertise in cloud technologies, specifically AWS and Azure. Utilized tools such as Apache Airflow for orchestration and Apache Spark for processing large datasets. Employed SQL and NoSQL databases, including PostgreSQL and MongoDB, for structured and unstructured data storage. Demonstrated proficiency with data transformation frameworks and parallel processing techniques. Ensured robust data pipeline maintenance and version control using Git.

  • Big Data Analyst
    5/1/2020 - 3/1/2021

    Served as a Technical Leader on the Consent and Positive Registration projects. On the Consent project, developed a data pipeline to consume portal customer data, validate it, apply changes in accordance with LGPD (General Data Protection Law), and make it available to other areas via APIs and databases. The Positive Registration project aimed to reduce costs by migrating from a Streaming structure to a Batch architecture, utilizing various GCP (Google Cloud Platform) services. Demonstrated expertise in Cloud Run, GKE, DataProc, GitLab, BigQuery, Cloud Storage, and Pub/Sub.

  • Data Engineer
    9/1/2019 - 5/1/2020

    In the role of a Data Engineer / Solutions Architect, honed expertise in ETL processes and big data technologies. Leveraged proficiency in Python, Java, and SQL to build robust data pipelines and transform raw data into actionable insights. Utilized Apache Hadoop, Spark, and Kafka for data processing, ensuring efficient handling of large-scale datasets. Deployed and managed databases such as MySQL, PostgreSQL, and MongoDB, ensuring optimal performance and data integrity. Demonstrated deep knowledge of cloud platforms including AWS, Google Cloud, and Azure, employing services like AWS Redshift, Google BigQuery, and Azure SQL Database for scalable data solutions. Worked extensively with containerization tools like Docker and orchestration platforms such as Kubernetes to streamline deployment workflows. Applied architecture design patterns and principles to develop and implement data solutions that aligned with business requirements. Ensured collaborative project management and version control using tools like JIRA, Confluence, Git, and GitLab. Developed strong analytical and troubleshooting skills, enabling effective resolution of technical challenges and optimization of data processes.

  • Data Engineer
    8/1/2018 - 9/1/2019

    Developed proficiency in using the HortonWorks and Cloudera platforms. Gained extensive experience working with clients in the banking and financial services sectors.

  • Data Engineer
    8/1/2018 - 9/1/2019

    Developed expertise in HortonWorks and Cloudera platforms through extensive work on multiple projects. Acquired in-depth knowledge of big data tools and ecosystem, ensuring efficient data management and processing for major financial clients. Demonstrated ability to configure, manage, and optimize large-scale data environments, contributing to enhanced data insights and business intelligence.

  • Data Engineer
    2/1/2018 - 8/1/2018

    Developed batch applications using the Cloudera platform, gaining significant expertise in handling large-scale data processing and analytics. Specialized in utilizing Cloudera's suite of tools to manage, analyze, and store massive datasets efficiently. Enhanced technical skills in Hadoop, HDFS, and Apache Spark to optimize data workflows and ensure high performance. Worked extensively with other tools within the Cloudera ecosystem, such as Hive for SQL-based querying, Impala for interactive SQL analytics, and HBase for real-time data access. Demonstrated ability to collaborate on projects using version control systems, including Git, to maintain code integrity and enable seamless teamwork.

  • Web Developer
    10/1/2016 - 2/1/2018

    Developed RESTful Web APIs for integration with MainFrame Platform in banking environments using Node.js and the Express framework. Demonstrated strong technical expertise in building scalable and efficient server-side applications, ensuring seamless integration with legacy systems. Utilized best practices for coding, testing, and deploying API services, focusing on high performance and reliability in a mission-critical industry.

  • Web Developer
    5/1/2016 - 10/1/2016

    Developed solutions for the customer service sector to enhance agility and provide metrics on major operational issues. Integrated WebServices and APIs from Totvs, Brastemp, and Whirlpool with Zendesk. Gained expertise in SOAP and RESTful architectures, utilizing Node.js, MongoDB, Angular, and Express. Maintained version control and collaborative development using Git. Employed database management systems such as MySQL and SqlServer to ensure robust and scalable data solutions.

  • Web Developer
    1/1/2015 - 2/1/2016

    Handled the maintenance, addition of new features, and deployment of meteorology portals. Delivered new implementations and maintained legacy meteorology systems, developing new APIs and customer access screens, and automating daily report dispatch routines. Developed expertise in PHP, MySQL, Shell Script, Cron, PostgreSQL, Ajax, JavaScript, JSON, XML, Laravel, Zend, Apache, Git, Composer, Linux, Vagrant, API development, and WordPress integration.

  • Web Developer
    4/1/2014 - 12/1/2014

    Maintained a high-traffic sports news website, ensuring optimal performance and uptime. Developed expertise in PHP and Laravel for backend development, and demonstrated extensive knowledge in JavaScript frameworks, including React.js and jQuery, for frontend enhancements. Utilized MySQL and PostgreSQL for efficient database management, ensuring data integrity and optimal query performance. Employed version control tools such as Git for collaborative code maintenance and implemented CI/CD pipelines using Jenkins to streamline deployment processes. Played a pivotal role in optimizing the website's responsiveness and compatibility across various devices, leveraging CSS3 and HTML5. Managed cloud infrastructure with Amazon Web Services (AWS), specifically focusing on EC2, S3, and RDS services, to scale resources according to website demand. Actively participated in Agile methodologies, contributing to sprint planning, code reviews, and collaborative problem-solving sessions, which ensured high-quality deliverables within set deadlines.

  • Web Developer at WebLeaders
    3/1/2013 - 4/1/2014

    Developed proficiency in PHP, JavaScript, HTML, and CSS while performing front-end and back-end web development. Gained expertise in utilizing content management systems such as Joomla, WordPress, and PrestaShop. Demonstrated ability to create and maintain dynamic websites with robust functionality and visually appealing interfaces.

  • Web Developer
    6/1/2011 - 3/1/2013

    Developed expertise as a web developer, encompassing front-end and back-end development. Acquired proficiency in languages such as ColdFusion and Flex, and demonstrated advanced skills in database management with Oracle.

  • Information Technology at Bandit University of São Paulo
    2009 - 2011

  • Computer Engineering Technologies/Technicians at Polytechnic School of USP
    2019 - 2020

  • AWS Certified Cloud Practitioner at Amazon Web Services (AWS)
    6/1/2021

  • Data Lake Design Project and Integration at Data Science Academy
    10/1/2019

  • Big Data Fundamentals 2.0 at Data Science Academy
    3/1/2018

  • Learn AngularJS at Codecademy
    7/1/2015

Moises is available for hire

Meet Moises R.
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