Certification
Certification in
I am a Data & Cloud Engineer specializing in Google Cloud Platform, MLOps practices, and batch and real-time data integration, delivering resilient and automated data solutions that scale with business needs. I design and orchestrate robust pipelines using Cloud Composer (Airflow), Kafka, Python, and dbt, applying best practices in data modeling, monitoring, and governance to transform raw data into trusted, analytics-ready assets in platforms like BigQuery, Cloud Spanner, and MySQL. My work empowers finance, operations, and marketing teams by ensuring rapid access to reliable insights, operational data services, and ML-deployable datasets that fuel continuous innovation and strategic decision-making.
Interest in Statistics, Deep learning, Machine learning, Data analysis, cloud computing, AI.
Interest in Mathematics, Algebra, Programming, Statistics
Designed and implemented robust (DAGs) using Apache Airflow to automate and streamline complex workflows, including ETL processes, ensuring high availability and fault tolerance. Developed scalable, maintainable, and resilient pipelines for the ingestion, transformation, and loading of structured and unstructured data into the BigQuery data warehouse.
Partnered with teams to deploy machine learning models into production and embed analytics solutions into core business processes. Provided technical guidance on the integration of data pipelines with advanced analytics tools
Architected and implemented advanced data transformation pipelines using DBT Cloud to model complex business logic and produce analytics-ready datasets. Employed rigorous version control practices to manage changes and ensure reproducibility. Collaborated with stakeholders to gather requirements and design models that aligned with organizational needs.
AchievementsSuccessfully automated a debt management modeling pipeline using Apache Airflow,reducing processing time by 50%, significantly enhancing decision-making capabilities and operational efficiency in financial risk assessments.
Conducted fine-tuning of pre-trained models for domain-specific applications, leading to better performance metrics and business impact.
Successfully designed and deployed scalable data transformation pipelines that streamlined complex business logic, reducing data processing time by 40%.
Provide fundamental information for all engineering disciplines involved in a project, using software tools such as Revit and CAD.
Provide construction documents for all areas of the Engineering Department: Mechanical Design and Mechanical Calculations. Add construction elements for library objects and link its data.
Follow design protocols established by the office and the current Florida Building Code
AchievementsPower BI dashboard with Miami-Dade database to extract business leads in real estate
Data extraction algorithm for extracting business details for contractors in Florida
Statistical analysis for the acquisition of fixed assets and biomedical equipment in the institution.
Design, organization, execution, and control of preventive, corrective, and metrological control maintenance programs for all areas of the institution.
Keep records and documentation up to date for audits and regulatory reviews.
Led and supervised a team of 8 individuals, overseeing their work, delegating tasks, providing guidance, and ensuring project completion within specified timelines and standards.
AchievementsCreating and maintaining a EXEL database specifically dedicated to managing hospital assets and creating visualization dashboards.