Guillermo Aguilar
@guillermoaguilar
I build scalable Snowflake data platforms, modernize legacy systems, and automate reliable analytics pipelines.
Costa RicaWhat I'm looking for
At Hakkōda, an IBM Company, I build cloud-native data solutions that help organizations turn complex data ecosystems into trusted business assets.
Previously at Snowflake, I led enterprise migrations from Oracle, Teradata, SQL Server, and Spark, creating modular dbt transformation frameworks and Python ETL/ELT solutions. I built scalable pipelines with Snowpark, REST APIs, and SnowSQL, while improving production reliability through data quality, monitoring, and performance tuning.
My background also includes data engineering at Mobilize.Net, business intelligence development, IT support, and object-detection work using TensorFlow and YOLO. I enjoy solving complex data challenges and applying AI, machine learning, and modern cloud architectures to deliver measurable business impact.
Experience
Work history, roles, and key accomplishments
Worked as Data Engineer at Hakkōda, an IBM Company.
As a Solution Consultant at Snowflake, I partnered with organizations to modernize their data platforms, accelerate cloud adoption, and maximize the value of their data through scalable and innovative solutions. This role combined hands-on technical delivery with close collaboration with clients, helping bridge business requirements and data engineering best practices.
• Led enterprise data migra
Worked as Data Engineer at Mobilize.Net.
Worked as Business Intelligence Developer at Grupo Colono.
Repairs and maintenance of machines, installation of software and printers are carried out.
Work with creating object detection models like tensorflow yolo, using the different image control libraries to optimize the models
Education
Degrees, certifications, and relevant coursework
Udemy
𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 + 𝗱𝗯𝘁: 𝗔 𝗵𝗮𝗻𝗱𝘀-𝗢𝗻 𝗚𝘂𝗶𝗱𝗲
1. Data modeling with DBT.
2. Building and managing data pipelines in Snowflake.
3. Data transformation best practices.
4. Testing and documentation in analytics projects.
5. Creating more maintainable reliable data workflows.
Udemy
Snowflake Cortex Code is an AI
- Build a full data pipeline using Medallion Architecture (Bronze, Silver, Gold).
- Load CSV files and create tables automatically with Cortex Code .
- Use Dynamic Tables to move data from Bronze to Silver.
- Create a star schema in Gold layer (fact and dimension tables)
- Build Semantic Views with Cortex Analyst, so business users can ask questions in natural language.
- Set up incremental loads
DataCamp
Case Study: Building E-commerce Data Models with DBT
It equipped me with the skills to model e-commerce data, knowledge. I'm ready to put into practice in a data warehouse like Snowflake , using the power of dbt.
DataCamp
Introduction to dbt
Define data models and transformations using SQL.
Implement automated tests to validate your data.
Manage data dependencies and build robust data pipelines.
DataCamp
Intermediate dbt
Structuring and scaling dbt projects
Testing and documenting data models effectively
Optimizing transformations for reliable analytics in cloud environments
like Snowflake
Snowflake Lessonly
Security Field CTO Level 100 - Badge Path
2023 - 2033
Instituto Nacional de Aprendizaje INA
Google Cloud Computing Foundations
2024 - 2024
Google Cloud Management, Warehouse Creation, Application Deployment, Access Control, Console Usage
Udemy
Course, Business/Office Automation/Technology/Data Entry
2021 - 2021
Cognitive Class
SQL and Relational Databases 101, SQL
2021 - 2021
Texas Tech University
Technical, Machine Learning
2021 - 2021
Udemy
Python for time series data analysis.
2020 - 2020
Udemy Academy
Machine Learning Masterclass y Redes Neuronales
2019 - 2019
Número de Certificado: UC-9BPYF9HU
Udemy Academy
Data Science: Machine Learning en Python
2018 - 2018
Universidad Autónoma de Centro América
Bachelor's degree, System Enginner
2010 - 2017
Availability
Location
Costa RicaAuthorized to work in
Social media
Job categories
Skills
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