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Daniel Revilla
🚀Co-founder of Data Engineering LATAM - Data Architect at Globant
Professional Background
Daniel Revilla is an accomplished data professional with over seven years of diverse experience in the IT landscape, specializing in Data Engineering. His expertise spans across several sectors, including banking, telecommunications, and production. With a robust background in data processing projects, both batch and streaming, Daniel has showcased his proficiency in data architecture and data modeling using a variety of advanced tools and technologies such as Snowflake, Apache Spark, Apache Kafka, Nifi, Airflow, and cloud services like Azure, AWS, and Google Cloud. Daniel is committed to leveraging Agile methodologies, ensuring seamless project management and optimal team collaboration.
In addition to his technical skills, Daniel is a visionary leader and passionate about knowledge sharing within the data community. He is the founder of the Data Engineering LATAM community, designed specifically to democratize knowledge sharing in data engineering, enabling professionals across Latin America to grow and enhance their skills collectively. Through this initiative, he aims to foster collaboration, mentorship, and innovation in the field of data engineering in Latin America.
Education and Achievements
Daniel's educational journey laid a strong foundation for his expertise in data science and engineering. He earned a Master's degree in Big Data and Data Science from the distinguished VIU - Universidad Internacional de Valencia. His rigorous training and hands-on projects during this program equipped him with the theoretical and practical skills essential for navigating the ever-evolving data landscape.
Prior to his master's studies, Daniel pursued his undergraduate education in Computer Engineering at Universidad Católica de Santa María, where he developed a solid grasp of core IT concepts and practices.
Professional Experience
Throughout his career, Daniel has held several key positions that have contributed to his growing stature as a leader in data engineering. Currently, he serves as a Data Architect at Globant, where he continuously applies his vast experience in designing scalable data solutions and collaborating with cross-functional teams to deliver high-impact results.
Before assuming his current role, Daniel played a pivotal role as the Principal Cofounder at Data Engineering LATAM. This platform has provided valuable resources and networking opportunities for data professionals across Latin America, helping bridge knowledge gaps and foster community engagement.
His previous roles as a Data Engineer at Rappi and as a Big Data Engineer at Inetum and everis Perú equipped him with hands-on expertise in data integration and analytics. Each of these positions refined his capabilities in managing data pipelines and utilizing cloud technology to enhance data accessibility and usability.
Earlier in his career, Daniel had various roles at everis Perú, including Problem Management Analyst and Solution Assistant, where he developed strong analytical and problem-solving skills vital for addressing complex data challenges. His journey began as a Junior Web Developer at iasoftgroup, where he honed his technical skills and laid the groundwork for his future endeavors in data.
Notable Achievements
Daniel's contributions to the field of data engineering are noteworthy. His leadership in establishing the Data Engineering LATAM community stands out as a significant achievement, bringing together professionals eager to advance their knowledge and share their experiences in the ever-growing field of data engineering.
He has consistently demonstrated his ability to drive innovation and efficiency in data processing projects, resulting in improved decision-making capabilities for organizations. By effectively utilizing big data tools and developing robust data architectures, Daniel has played a crucial role in enhancing productivity across various sectors.
Furthermore, his academic progression and achievements underscore his commitment to continuous learning and professional development, ensuring he remains at the forefront of data engineering practices. Daniel's expertise in both theoretical concepts and practical applications enables him to tackle complex data challenges with ease and confidence.
In summary, Daniel Revilla embodies the spirit of innovation and community within the world of data engineering. His impressive educational background, extensive professional experience, and commitment to fostering collaboration and learning make him a prominent figure in the LATAM data community.