Marllon V.Back-end and Systems Engineer
Skills
Data Engineer with extensive experience in relational and non-relational databases, ETL processes, data quality projects, and the integration of machine learning and artificial intelligence. Demonstrates expertise in developing search systems utilizing the Elastic Stack. Passionate about overcoming challenges and engaging in cultural exchanges. Adheres to the maker culture principle that anything achievable will be accomplished. Proficient in English at an advanced level and Spanish at an intermediate level.
Intern (Data Scientist)
12/2/2018 - 12/2/2019
Developed proficiency in data analysis utilizing SPSS, Excel, and MySQL databases. Spearheaded research and development of a text similarity algorithm using Python and Elasticsearch, enhancing data retrieval and matching capabilities. Played a pivotal role in the development of a data ingestion process, employing Python, MySQL, and Elasticsearch to streamline data integration and processing.Data Engineer
7/1/2022 - Present
Developed advanced proficiency in SQL for data querying and manipulation, alongside Python for data analysis and automation. Utilized Hadoop and Spark for large-scale data processing and achieved significant optimizations in data workflows. Leveraged machine learning frameworks such as TensorFlow and scikit-learn to build predictive models for credit scoring, leading to improved risk assessment accuracy. Demonstrated skills in data visualization through tools like Tableau and Power BI to create insightful dashboards for stakeholders. Ensured data integrity and compliance by implementing robust ETL processes using tools such as Apache NiFi and Talend. Contributed to collaborative projects and code maintenance using Git while adhering to best practices in version control. Conducted extensive work with cloud platforms like AWS and Azure, deploying analytics solutions that are scalable and reliable.Elasticsearch Developer
4/1/2022 - 7/1/2022
Spearheaded the development of a search API for the Legalbot platform. Leveraged Node.js and Express.js for backend development, ensuring robust and scalable API architecture. Utilized Elasticsearch to implement efficient and precise search functionalities. Integrated MongoDB for managing and querying large datasets. Employed JWT-based authentication for secure access control. Applied Docker for containerization, facilitating consistent environment setup and deployment. Ensured high code quality and collaborative development practices using Git and GitHub. Conducted performance tuning and optimization to achieve reduced latency and faster query responses. Adapted Agile methodologies, participating in regular sprints, stand-ups, and code reviews to maintain project momentum and continuous improvement.Junior Business Intelligence Analyst
12/1/2019 - 4/1/2022
Developed proficiency in Java and Elasticsearch for managing indexes and permissions, data ingestion, search architecture design, and the development of a search service for applications. Applied advanced Machine Learning and Natural Language Processing techniques to enhance performance. Boosted the efficiency of Text Similarity algorithms utilizing Python. Created an API for text matching in Java, ensuring seamless integration and performance. Conducted performance evaluations and applied Named Entity Recognition models effectively. Reconstructed a large data processing system, which involved redesigning the database, simplifying and improving processes, and rewriting, translating, and refactoring code. Implemented significant changes in orchestration software, leveraging Java and MySQL for robust system performance.
Electrical Engineering at UNIUBE
2015 - 2019Artificial Intelligence and Machine Learning at Pontifical Catholic University of Minas Gerais
2023 - 2024
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