Enrique Batz
Pleasanton,CA
Summary
Data engineer with a passion for turning raw data into reliable, actionable insights. I design pipelines, automate workflows, and build cloud-based solutions that make complex data simple to use. Skilled in Python, PySpark, and modern data platforms, I also leverage AI and LLMs to streamline processes and boost efficiency. I'm motivated by solving challenging problems and creating systems that empower better decisions.
Overview
8
8
years of professional experience
Work History
Data Science/Data Engineering
Albertsons
Pleasanton
02.2024 - Current
- Designed and maintained data pipelines using Python, PySpark, Databricks, and Google Cloud Platform, processing large-scale customer and transaction data.
- Developed automated workflows for incrementality and performance analysis, leveraging Bayesian statistical methods to measure marketing and sales impact.
- Built and managed test vs. control group segmentation, ensuring statistically valid comparisons through techniques like t-tests, stratification, and ntile-based sampling.
- Created scalable ETL processes and optimized data ingestion, improving data quality, governance, and reporting efficiency.
- Collaborated with cross-functional teams to translate business requirements into technical solutions and deliver actionable insights to leadership.
- Implemented version control and deployment workflows through Git-based processes and coordinated with DevOps for production releases.
Associate Software Engineer
Nisum
Fremont
03.2022 - 02.2024
- Took part of a 3 month incubation program at Nisum that introduced me to automating tasks in Selenium, the basics of microservices and REST APIs with java, cloud computing, and Data Engineering concepts using tools like Hadoop, Kafka and SQL.
- Worked as a contractor for a year with a client company of Nisum where I used Python, SQL and GCP. Was also exposed to statistical models like Bayesian statistics and Causal Impact.
- Also participated and won a Hackathon at Nisum that involved using GCPs Vertex AI to identify and predict clothing trends based on social media platforms.
Teacher Assistant
San Francisco State University
San Francisco
01.2021 - 05.2021
- I worked for one semester as a teacher assistant/tutor for a software engineering class at San Francisco State University.
- My work mainly consisted of grading course work and arranging online meetings with students for help on their projects.
Sales Floor Employee
Target
Daly City
01.2018 - 05.2020
- Customer Service
- Cashier work
- Advising customers on electronic purchases
- Handling warehouse storage operations
Education
Bachelor of Science - Computer Science, Philosophy
San Francisco State University
San Francisco05-2021
Skills
- Python
- SQL
- Google Cloud Platform
- Databricks
- PySpark
- Selenium
- Habu
- Java
- C
- AWS
Languages
English
Spanish
Timeline
Data Science/Data Engineering
Albertsons
02.2024 - Current
Associate Software Engineer
Nisum
03.2022 - 02.2024
Teacher Assistant
San Francisco State University
01.2021 - 05.2021
Sales Floor Employee
Target
01.2018 - 05.2020
Bachelor of Science - Computer Science, Philosophy
San Francisco State University