I am Senior Data Engineer with 4+ years of experience in GCP. I have worked at Ebury and StubHub International, primarily developing data pipelines and API integrations within GCP, among other tasks. Specifically, at StubHub International, I primarily led the Data Engineering team and both led and participated in platform optimization initiatives, achieving an 80% cost reduction. Additionally, I designed a CI/CD pipeline and GCP infrastructure for dbt model deployment. During my tenure at Ebury, I was recognized for developing data pipelines, creating Python libraries to interface with GCP and AWS, and modeling in dbt. I am proficient in Docker, Airflow, Python, BigQuery, the GCP ecosystem, and DBT. I hold a BSc in Computer Science and an MSc in Artificial Intelligence. I am deeply passionate about data engineering, consistently at the forefront of cloud innovations, and am open to exploring a cloud architect role in the future.
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jromanmorales96@gmail.com
• Led data engineering initiatives for cost and infrastructure optimization. • Designed and built CI/CD pipelines on Google Cloud Platform (GCP). Additionally, set up infrastructure on GCP for the analytics team to develop, test, and deploy their DBT code automatically, as well as to host the DBT transformations. This approach allowed us to save money by eliminating the need for the DBT Cloud tool. • Implemented the open-source platform, Airbyte, as part of our SaaS solutions for data integration. • Managed the normalization and ingest of very unestructured log data for pricing initiatives. • Developed data pipelines and integrated third-party data using Composer Airflow and Python.
• Led the development of reliable data pipelines and infrastructure leveraging Python and Composer Airflow. • Crafted dimensional models to streamline data accessibility using Bigquery and DBT. • Deployed services to empower Data Scientists and Analysts, enhancing data-driven decision-making using Cloud Run, App Engine, Cloud Build, Docker, Python.
• Developed a robust communication standard utilizing C/C++, ensuring seamless integration within the European Space Agency ESROCOS project requirements. • Engineered physical system responses to commands using advanced tools such as Gazebo, ROS, and Tastee. • Designed and built a user-friendly interface with Python and Qt, streamlining communications between terrestrial and space segments and optimizing mission control operations.
Landmark recognition based on the Bag of Visual Words method for autonomous navigation using Visual Topological Maps.
Recurrent Neural Networks for time series processing.
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