Open to opportunities

Santiago Puerta

@santiagopuerta

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I build scalable cloud ETL pipelines and data platforms on Google Cloud.

Colombia

Message

What I'm looking for

I'm looking to build scalable, reliable cloud data platforms and ETL workflows, using Python, Spark, Airflow, and Google Cloud to improve data accessibility, automation, and analytics.

At ScotiaTech, I build reusable data engineering tools and ETL workflows for Google Cloud. I deployed a Python library through Artifact Registry that saves developers up to 70% of the time needed to develop and deploy Airflow DAGs to Cloud Composer.

Previously at Quind, I tuned a failing Spark job on Google Cloud Dataproc to reduce execution time by 80%. I also designed PySpark and Delta Lake pipelines that reduced storage and query costs by 40%.

I've designed Data Mesh and Data Lakehouse architectures on Google Cloud, making data more accessible for cross-domain analytics and business decision-making. I use Infrastructure as Code approaches to speed up reliable ETL releases.

My foundation includes data analysis, SQL, Power BI dashboards, relational schemas, and data dictionaries. I'm currently completing degrees in Computer Science and Data Science.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

ScotiaTech

Jul 2024 - Present (2 years 1 month)

Deployed Python code to Google Cloud Artifact Registry to create a reusable library adopted across the enterprise, enabling developers to save up to 70% of their time when developing and deploying Airflow DAGs to Google Cloud Composer. Enhanced an existing Scala program to dynamically fetch the HDFS instance and apply table-specific configuration files, reducing configuration setups from 21 to 7.

Python Google Cloud Platform Artifact Registry Airflow Google Cloud Composer Scala HDFS ETL

Education

Degrees, certifications, and relevant coursework

Universidad EAFIT

Bachelor's Degree, Computer Science

2019 -

Grade: 4.3/5.0

Pursuing a Bachelor's Degree in Computer Science with a GPA of 4.3/5.0. Relevant coursework includes Algorithms, Databases, and Software Architecture.