Curriculum Vitae

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Bio

Highly skilled and dedicated Lead Data Engineer with a special focus on Python, machine learning, and data engineering. Possessing over five years of extensive experience in designing efficient data pipelines, implementing data flows and transformations, productionizing machine learning models, and performing data wrangling tasks utilizing Python. Takes advantage of key technologies such as Docker, Kubernetes, Airflow, and Kafka, with proficiency in multiple databases. Demonstrates a solid track of record in automating data processing tasks, ensuring the integrity of data pipelines, and leading the development of machine learning frameworks. Known for delivering timely results through effective project management and problem-solving skills. An effective communicator, fluent in both English and Spanish. Adept at leading projects to successful completion and passionate about leveraging skills in Python to contribute to the growth and success of data-driven projects.

Experience

Lead Data Engineer

Oct 2022 - Present | Enterprise Products Partners | Houston, TX

  • Lead role in developing quant machine learning framework used by the data scientists to explore, train, and deploy their trading models.
  • Design proper data pipelines and leverage correct data standards and technologies that reduce complexity, minimize failure points, and ensure scalability.
  • Maintained and monitored data quality and integrity of the data pipelines.
  • Automated data processing tasks to increase efficiency and accuracy of data.

Data Engineer

Feb 2019 – Oct 2022 | Enterprise Products Partners (Contract) | Houston, TX

  • Develop and maintain applications to average and interpolate real-time temperature data from sensors in the braised aluminums heat exchangers. This data is then fed into multiple ETL pipelines used for data modeling, ad-hoc analysis, data historians, and business intelligence dashboards.
  • Work with the Data Science team to productionize data wrangling code in Python and operationalize Keras multilayer perceptron neural networks.
  • Implement data flows and data transformations connecting OSI Pi, MapR, InfluxDB, and PowerBI using Python, Scala, Spark, Drill, StreamSets, Kafka, and SQL.
  • Schedule all ETL jobs and near-time applications using a containerized Airflow solution. Define directed acyclical graphs (DAGs) for most of our workflows.
  • Develop data-intensive applications with API’s and streaming data pipelines.
  • Assist data analysts and data scientists with query optimization, performance tuning, and data processing.
  • Document and maintain source-to-target mappings and data lineage.

Software Data Engineer

Apr 2017 – Jan 2019 | Sanchez Oil and Gas | Houston, TX

  • Set up Airflow using PostgreSQL and Celery as our workflow scheduler. Defined directed acyclical graphs (DAGs) for many of our workflows.
  • Built automation tool to ingest flowback emails in spreadsheet format which were downloaded, parsed, and written to their corresponding SQL tables.
  • Created and dockerized a software solution to ingest data from SCADA systems. This data was sent to a distributed JSON database (MapR-DB) and produced to a real-time topic that was consumed by other applications for real-time analysis.
  • Developed a real-time operation alert system by consuming data from multiple topics and writing to tables in a time-series database (InfluxDB). This data was read by microservices that would generate alerts if predefined conditions were met.
  • Built batch ETL services that extracted public well data and Sanchez field data, transforming and storing the data for easy access by the Data Science and Operation teams within the company.
  • Scripted solution to extract data out of PDFs using OCR libraries in Python.

Teaching Assistant

Jan 2016 – Jan 2017 | Computer Science Department | Houston, TX

  • Taught Introduction to Computer Science and Computer Science and Programming.
  • Used problem solving and critical thinking skills to create assignments, grade homework and exams.
  • Strengthened communication and listening skills through teaching 25 students in weekly labs and holding office hours to assist students.

Software Engineer Intern

May 2016 – Aug 2016 | NetIQ | Houston, TX

  • Generated reports with JasperSoft for the Access Review Database using scrum methodology.
  • Collaborated with Software, Data, and DevOps Engineers on developing automated tools that reduced the time spent updating reports manually.

Research Assistant

Jun 2016 – Sep 2016 | Computer Science Department | Houston, TX

  • Researched classification of mixed-language usage by Hispanic populations in social media.
  • Collected large amount of mixed-language data from various online sources using APIs and web-crawlers.
  • Analyzed, tokenized, and classified large amounts of collected data.

COO and Co-Founder

Jan 2001 – Aug 2011 | Jugueteria Corotos C.A. | El Tigre, Venezuela

  • Founded and ran retail toystore with 10 employees and $1M in annual revenue.
  • Managed all aspects of the business including accounting, inventory, and sales.

Education

Computer Science, BS - University of Houston

May 2015 – May 2017

  • Graduated with summa cum laude (3.95/4 GPA)

Certifications

Classes, Trainings, and MOOCs

  • DSE200x: Python for Data Science (edX | Aug 2018)
  • Google Cloud Platform Big Data and Machine Learning Fundamentals (Coursera | Mar 2019)
  • Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform (Coursera | Apr 2019)
  • Introduction to Cloud Computing (A Cloud Guru | May 2019)
  • Introduction to Google Cloud Platform (A Cloud Guru | Jun 2020)
  • Google Cloud Professional Data Engineer (Udemy | Jan 2022)
  • Modernizing Data Lakes and Data Warehouses with GCP (Pluralsight | Mar 2022)
  • Google Cloud Platform Big Data and Machine Learning Fundamentals (PluralSight | Mar 2022)
  • Building Batch Data Pipelines on GCP (Pluralsight | Mar 2022)

Awards

  • University of Houston Computer Science Department Valedictorian (May 2017)
  • University of Houston Dean’s List (4) (Fall 2015 – Spring 2017)

Skills

Programming Languages: Python, Spark

Operating Systems: Linux (CentOS, Ubuntu, Raspbian), Unix (MacOS), Windows

ETL Experience: Kafka, Airflow, Docker, Kubernetes, Apache Drill, GitLab CI/CD, Apache Sqoop, Streamsets

Databases: InfluxDB, PostgreSQL, MongoDB, MapR-DB (similar to Hbase), Microsoft SQL Server, Sqlite3

Languages: Bilingual in English and Spanish