Carlos Gutiérrez
Bogotá, Colombia,HUI
Summary
Data Engineer with expertise in developing scalable ETL pipelines, deploying machine learning models, and leveraging cloud platforms like AWS, Azure, and Databricks. Skilled in data visualization, big data processing, and MLOps, driving impactful, data-driven decisions. Proficient in fostering cross-functional collaboration to streamline workflows and deliver innovative solutions in diverse environments.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Data Engineer
ProCibernética S.A
Bogotá, D. C
10.2022 - Current
- Designed, implemented, and optimized scalable ETL pipelines for data ingestion and transformation using Python, SQL, and PySpark, enabling effective analytics and decision-making processes.
- Built and deployed machine learning models for predictive analytics using TensorFlow and Scikit-Learn, leveraging Databricks and MLflow for end-to-end lifecycle management, including tracking, versioning, and production deployment in hybrid and multi-cloud environments (AWS, Azure, Cloudera, and GCP).
- Created interactive dashboards and visualizations in Looker and Power BI, enabling stakeholders to track key metrics and make data-driven decisions with greater efficiency.
- Automated CI/CD workflows for analytic applications, leveraging Docker and Jenkins to ensure rapid, reliable deployments.
- Developed API-based microservices using Flask to enable secure, real-time data sharing and integration across cloud platforms such as ECS, Databricks, and S3, improving system interoperability.
- Administered Cloudera services, including Apache NiFi for automating data flows, Apache Ranger for robust data governance, and Cloudera Manager for multi-cluster monitoring, optimization, and performance tuning.
Education
M.Sc - Data Analytical Intelligence
Universidad De Los Andes
Bogotá, ColombiaBachelor’s Degree - Electronic Engineering
Universidad De Los Andes
Bogotá, Colombia06-2022
Skills
- ETL Development and Data Integration
- Data Visualization (Power BI, Looker)
- Cloud Platforms (AWS, Azure, Cloudera, GCP)
- Machine Learning Deployment and MLOps (Databricks, MLflow)
- Data Modeling and Relational Databases (SQL, RDBMS)
- CI/CD and Containerization (Docker, Jenkins)
- Big Data Technologies (PySpark, Hadoop, Apache NiFi)
- Scripting and Object-Oriented Programming (Python, Java, API Development)
Languages
Spanish
First Language
English
Intermediate (B1)
B1
Certification
- Cloudera CDP Certification: Generalist Exam (CDP-0011).
- Digibee Academy: Foundations, Functional Analysis, Integration Developer Bootcamp.
- RITERTEC Educación (2022): Power BI.
- Coursera: Programming in Python, Fundamentals of Applied Probability and Statistics, and Analytics in Organizations.
Accomplishments
- Scholarship Recipient (2018): Awarded a scholarship under the "Quiero Estudiar a Escala" program at Universidad de los Andes for academic excellence and leadership potential.
- Graduate Teaching Assistant (2022): Supported academic faculty in teaching and mentoring students in laboratories and supplementary courses at Universidad de los Andes.
Timeline
Data Engineer
ProCibernética S.A
10.2022 - Current
M.Sc - Data Analytical Intelligence
Universidad De Los Andes
Bachelor’s Degree - Electronic Engineering
Universidad De Los Andes
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