As a data engineer with over 5 years of experience, I am skilled in extracting, transforming, and loading data from various sources, as well as developing and maintaining data pipelines. I also have expertise in analytics engineering, using a range of tools and techniques to analyze and interpret data for business insights.
I am a data enthusiast who is passionate about the power of data to drive decision-making and drive business growth. I am committed to producing high-quality data that is accurate, reliable, and relevant.
In addition to my professional experience, I am an active member of the DataAr community and a team leader, with a proven track record of collaborating effectively with cross-functional teams and leading projects to successful completion.
I am also a university professor with over 5 years of experience in teaching and designing learning materials, as well as a proud dog owner who values the importance of balance between work and personal life.
Help build the next quality assurance data platform. Design and build data pipelines for dierent database technologies such as MySQL, PostgreSQL, Snowflake and Google BigQuery. Design and build data validation pipelines with automated execution and alerts. Data analysis and presentation. Collaborate on product definition, design, roadmap and execution.
Design analytics events in the user app. Measurement plan definition and execution. Metrics design and implementation.
Data Products design and engineering. Guide a remote team of engineers to deliver data science models working with analysts and data scientists identifying and engineering features to enrich existing models or build new ones. Assist data analysts in the measurement plan definition and implementation. Help ML Engineers design and build the model training strategy, data pipeline and API implementation employing a user segmentation platform to conduct experiments and validate the increment’s impact.
Partner with Product Management peers and other Engineer Managers to build the team roadmap aligned with the company goals.
Team building and mentoring. Candidates interviews, technical challenges definition and talent selection.