Juan Campias

Designing and maintaining scalable data pipelines and ETL workflows using Apache Airflow to process payment transaction data across Latin America, Africa, and Asia Pacific. Optimizing Amazon Redshift data warehouses handling billions of rows, including schema migrations, vacuum tuning, and query performance improvements. Collaborating with cross-functional teams to ensure data quality, observabili

Designed and maintained scalable data pipelines using Apache Airflow to enable efficient ETL workflows across cloud infrastructure. Leveraged AWS services including EC2, S3, RDS, Lambda, and Redshift to support merchant ingestion, transformation, and reporting.

Design and maintain scalable data pipelines using Apache Airflow, enabling efficient ETL workflows across cloud-based infrastructure. Leveraging AWS services such as EC2, S3, RDS, lambda & Redshift. Ensure reliable data ingestion, transformation, and reporting of top-tier merchants. My work supports business decision-making by delivering clean, timely, and accessible data to stakeholders.

BI Data Engineer into the @dLocal BI team.

We will take a tour of data analysis (extraction, transformation, and loading) to transform data into valuable and reliable information for organizations. Using major Python libraries and modules such as Flask, Requests, SQLAlchemy, Pandas, and Decouple. Additionally, designing, managing, and maintaining relational databases in local environments and corresponding Big Data concepts (Data Lake, Dat

Worked on cloud data engineering covering data lake architecture and data warehouse management with data transformation. Also supported a Big Data migration of on-premises databases to AWS cloud environments.

1. Google Cloud Platform speciality, DataLake architecture, Data Warehouse management, and data transformation.
2. Big Data team at Naranja X, performing the migration of On-premises databases to the AWS cloud.

Tutoring on professional practices and project management in workgroups for the final project in the development of a web application with Django.

I have experience as a technical analyst implementing solutions using Python, SQL, Power BI, DAX, M language, and Power Query.

I develop data analytics projects as a comprehensive analyst, from initial data gathering to creating dashboards. I am skilled in both the theory and implementation of Data Science projects, and I am able to create predictive models from scratch.
In this course, I am learning practical applications of Machine Learning and the use of NumPy, Pandas & Spark.

Developed strong analytical and problem-solving skills through mathematical and statistical coursework. Gaining valuable experience in process analysis and systematic thinking.

I have knowledge and practical experience in using web applications with Django in Python, as well as designing and maintaining databases using the MVT paradigm and POO progrming.