Professional Profile

I am a cross-functional, creative Data Engineer with a solid understanding of data structures, algorithm development, and cloud computing for modern pipelines, big data analysis, and automation. 

Skills ________________________________________________________________________________________________________________________________________________________

Technical Competencies

Languages and Frameworks: Python Pyspark, Pandas, GeoPandas, Matplotlib, BeautifulSoup, Scrapy, FastAPI, JavaScript, Scala, R

Other: HTML, CSS, XML, Bash

Data Engineering & Management: GitHub, Git Actions, ELT, Data Collection, Data Mapping, Distributed Systems, ClickUp 

File Types: JSON, CSV, Flat Files, Parquet, Shape

Cloud Computing & Tech: AWS S3, Databricks, Spark, RESTful APIs, JSON, Hive, Warehousing, Heroku, Sigma

Databases: Hive, BigQuery, MySQL, SQLite, PostgreSQL 

Operating Systems: Windows: WSL, Linux: Debian, Ubuntu, Mint

Data Analysis & Visualization: Exploratory Data Analysis, Sigma, plotly, Matplotlib, BeautifulSoup, Jupyter, Numpy

Web Technologies: HTTP requests, SOAP, Flask, Containerization

Core Competencies

Educational Data Systems: Experience with K-12 and higher education datasets and FINTECH datasets.

Technical Communication: Creating clear and actionable technical documentation.

Collaboration: Effective team player with a commitment to equity.

Attention to Detail: Meticulous review of large datasets for accuracy and validity.

Experience ____________________________________________________________________________________________________________________________________________________

Industry Experience

Data Engineer, Hope View San Diego, CA • 07/2024 - 08/2024

• Implemented TDD practices and persistent storage with Core Data in a Swift iOS app.
  
  

• Built modular request handling using RequestBuilder and DataFetcher to retrieve backend data via REST API from Back4App.
  
  

• Structured API-driven data persistence and schema relationships in CoreDataHelpProcessor.
  
  

Data Engineer, BondCliQ Remote, USA • 12/2022 - 04/2024

• Built ELT pipelines using PySpark and SQL modeling for financial market data.
  
  

• Engineered automated backup and recovery pipelines with Databricks and AWS.
  
  

• Analyzed customer and product usage data, boosting client engagement by 15-20%.
  
  

• Led CRM/ETL restructuring and HTML/CSS redesigns to improve client communication.

• Made real-time pipeline observability tools (job status, latency, alerts) with Databricks and Slack.
  
  

Data Analyst Intern, BondCliQ/Data Glacier Remote, USA • 07/2022 - 12/2022

• Executed complex ETL workflows in a FinTech data lake using PySpark and SQL.
  
  

• Designed and implemented reusable SQL models for Delta Tables and developed dashboards to support financial analysis and reporting across teams.
  
  

• Developed and deployed a Flask API for Iris classification using ML models on Heroku.
  
  

Teaching Experience

Engineering & Robotics Teacher, Magnolia Science Academy San Diego, CA • Aug 2024 — Present

• Taught HTML, CSS, JavaScript, and integrated robotics and circuits in a STEAM program.
  
  

• Designed a project-based software engineering curriculum for middle school students.
  
  

Computer Science Instructor, UCSD TRIO San Diego, CA • July 2022

• Designed and taught a climate-focused computing course using Python, Pandas, and Jupyter.
  
  

Computer Science Teacher, Lincoln High School San Diego, CA • Aug 2020 — June 2022

• Led AP CS and networking classes in hybrid formats. Analyzed confidential student performance data to inform instruction.
  
  

Project Resource Teacher, Lincoln High School San Diego, CA • Oct 2017 — Aug 2020

Analyzed discipline and math progress data. Collaborated with professors on alignment with college readiness standards.

Contributor Experience

Active Contributor, Hack For L.A. Remote, USA•07/2022 - current

Hack for L.A. is a civic tech organization of  volunteers to create open-source projects addressing local challenges.

Led civic tech and open-source project, developing a bi-monthly automated system via GitHub Actions to enhance district shape data accessibility and standardize storage across Google Drive and GitHub. Created a Parking Ticket API to enable EDA of Los Angeles violations, with map display and customizable download.