I'm Carlos

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With 3+ years of experience in Data Engineering and Data Science, leveraging data to solve real-world problems. Designing and automating pipelines, developing statistical and Machine Learning models, and creating visualizations, for improved operational efficiency and helping in data-driven decision-making.



SKILLS

DEVELOPMENT


  • Programming Languages: Python, SQL, Scala.
  • Libraries: Pandas, NumPy, PySpark, Scikit-learn, Matplotlib, Flask, Django, FastAPI, TensorFlow, PyTorch.
  • Big Data Tools: Hadoop, Hive, Spark, Kafka.
  • Orchestration: Apache Airflow.
  • Version Control: Git, GitHub, GitLab.
  • API Development: GraphQL, RESTful APIs.
  • CI/CD Tools: Jenkins, GitHub Actions, GitLab CI.
  • Containerization: Docker.
  • Orchestration: Kubernetes.

DATA


  • Data Engineering: ETL/ELT pipelines, data warehousing, data lakes (Snowflake, BigQuery, Redshift, Databricks), Real-time data processing.
  • Cloud Platforms: AWS, Azure, GCP, Snowflake, Databricks.
  • Database Management: Relational Databases (PostgreSQL, MySQL, Oracle DB), NoSQL (MongoDB, Redis.).
  • Data Analysis: Exploratory Data Analysis (EDA), data visualization (Power BI, Looker Studio, Tableau, Matplotlib, Seaborn).
  • Data Science: Machine learning (classification, regression, clustering): SVM, Decision Trees, Random Forest, Gradient Boosting, Neural Networks.
  • Data Visualization: Tableau, Power BI, Looker Studio, Matplotlib, Seaborn.
  • Data Governance: Data cataloging (Apache Atlas), ensuring compliance (GDPR, CCPA), Data lineage, Data quality frameworks.

SOFT SKILLS


  • Teamwork: Collaborating effectively within diverse teams to achieve common goals.
  • Proactivity: Taking initiative to identify and address challenges before they arise.
  • Story-Telling: Translating technical concepts for stakeholders and fostering clear dialogue.
  • Problem-Solving: Tackling complex challenges and delivering efficient, creative solutions.
  • Adaptbility: Adjusting seamlessly to new tools, processes, and dynamic work environments.
  • Project Management: Employing Agile methodologies, sprint planning, and effective time management.
  • Creativity: Thinking outside the box to develop innovative solutions and approaches.
  • Attention to Detail: Ensuring accuracy and precision in all aspects of work.
  • Curiosity and Lifelong Learning: Continuously seeking knowledge and staying updated with industry trends.


PROJECTS

  • All
  • Development
  • Data