Jeffrey Asuncion

About Jeffrey Asuncion

Results-oriented Data Engineer with a proven track record in designing and implementing robust data solutions. Expertise in data modeling, ETL (Extract, Transform, Load) processes, and proficiency in database management systems. Skilled in optimizing data pipelines, ensuring data integrity, and enhancing system performance with meticulous attention to detail.Demonstrated expertise in cloud platforms, such as AWS or Azure, and a successful track record in migrating on-premise data warehouses to the cloud. Collaborates effectively with stakeholders to gather requirements, ensuring alignment with business objectives. Excels in problem-solving, utilizing a systematic approach to overcome challenges and deliver innovative solutions. Committed to maintaining data security and privacy, employing industry best practices to protect sensitive information. Strong communication skills facilitate seamless collaboration within cross-functional teams, fostering a cohesive environment for complex data projects.Areas of expertise: Python | R | SQL | SparkSQL | MongoDB | SQLite | Postgres | ETL | ELT | Data Analytics | Exploratory Data Analysis | Data Management | Data Visualization | Spark | Pandas | Machine Learning | TensorFlow | Scikit-learn | Numpy | SpaCy | NLTK | NLP | Docker | Django | Flask | FastAPI | git | GitHub | Heroku | EC2 | S3 | Elastic Beanstalk | VSCode | Vim | Linux | Ubuntu | CentOS 7 | Scalability | Unit Testing | AWS | Azure | GCP | Agile | Azure DevOps | AWS Certified Solutions Architect | Communication Skills | Attention to Detail | Analytical Skills | Documentation | Testing and Validation

Experience

1. Fleet Specialist

   Charter Communications

   Oct 2023 — Present · Brooklyn, NY, US

Education

• BloomTech

  Data Science

  2020 — 2021

• New Jersey Institute of Technology

  Bachelor of Science - BS, Chemical Engineering

  1993 — 1997