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Lead Big Data & Machine Learning Engineer at Bellatrix Software
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Competencies
Designs and implements large-scale data lakes, warehouses, and streaming architectures across cloud platforms.
Develops and deploys advanced ML models for fraud detection, anomaly detection, and predictive analytics.
Proficient in deploying and managing data solutions and ML models on AWS and GCP cloud services.
Builds scalable, real-time data pipelines using Spark, Kafka, Airflow, and other tools for diverse clients.
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Summary
Data scientist and engineer with extensive experience designing scalable data architectures, real-time processing pipelines, and advanced ML models for financial, retail, and tech sectors. Skilled in cloud platforms, big data tools, and deploying impactful AI solutions.
Key Achievements
- Led implementation of data lakes and warehouses in AWS and GCP, optimizing data storage and retrieval.
- Designed real-time data pipelines with Apache Spark and Airflow for scalable processing.
- Developed anomaly detection and fraud models enhancing transaction security in financial services.
- Built end-to-end data solutions and ML models for international clients, automating complex processes.
- Deployed scalable models in cloud environments, improving operational efficiency and fraud detection.
Experience
Lead Big Data Engineer
Lideré la implementaci ́on de arquitecturas de data lakes y data warehouses en AWS y GCP.. Dise ̃né pipelines de datos con Apache Spark y Airflow para procesamiento masivo en tiempo real.. Implement ́e soluciones de streaming con Kafka para ingesta de datos financieros y de retail.. Coordin ́e equipos multidisciplinarios para proyectos de anal ́ıtica avanzada y optimizaci ́on de costos en la nube.
Senior Machine Learning Engineer
Desarrollo de modelos de detección de anomalías y fraude en transacciones financieras.. Implementación de pipelines de datos con Spark Streaming y Kafka para monitoreo en tiempo real.. Despliegue de modelos en contenedores Docker con CI/CD en AWS, asegurando escalabilidad y resiliencia.
Data Scientist
Desarrollo de modelos de detección de fraudes.. Implementación de dashboards interactivos para monitoreo de KPIs.
Data Engineer
Construcción de soluciones end-to-end en Python para analítica avanzada.. Implementación de pipelines de datos y modelos ML para clientes internacionales.. Automatización de procesos de limpieza, transformación y visualización de datos.
ML Engineer - Detección de Fraudes
Desarrollo de modelos de clasificación para detección temprana de fraudes.. Digitalización de procesos críticos con integración de analítica avanzada.
Data Scientist
Implementación de pipelines de datos en AWS para ingesta masiva.. Optimizaci ́on de modelos con ajuste de hiperparámetros y métricas de rendimiento.. Despliegue de modelos en entornos cloud con alta disponibilidad.
Senior Data & AI Engineer
Designed and implemented data pipelines for real-time ingestion and processing.. Integrated computer vision and climate prediction models into production systems.. Optimized distributed architectures to improve scalability and resilience.
Lead Big Data Engineer
Led the implementation of data lakes and data warehouses in AWS and GCP.. Designed pipelines with Apache Spark and Airflow for large-scale real-time processing.. Built Kafka streaming solutions for financial and retail data ingestion.. Coordinated cross-functional teams for advanced analytics and cloud cost optimization projects.
Senior Machine Learning Engineer
Developed anomaly detection and fraud models for financial transactions.. Implemented data pipelines with Spark Streaming and Kafka for real-time monitoring.. Deployed models in Docker containers with CI/CD pipelines on AWS.
ML Engineer - Fraud Detection
Developed classification models for early fraud detection.. Contributed to the digitalization of critical operational processes.