Systems Engineer with 8+ years delivering end-to-end data solutions across Banking, Marketing, Finance and Retail sectors.
Dual expertise as Data Analyst and Data Engineer: designing ETL pipelines in Python, architecting cloud data models (Snowflake, BigQuery, Databricks), and building executive-level dashboards in Power BI.
Proven ability to turn complex raw data into business decisions reducing manual processing
Currently expanding into Microsoft Fabric for modern data lakehouse architectures.
Some highlights:
▸ Reduced bank reconciliation processing from 5 hours to 10 minutes at Banistmo (Panama) through Python ETL automation
▸ Built multi-source data pipelines integrating PostgreSQL, MongoDB, TikTok, Meta and Google APIs into BigQuery
▸ Delivered full Power BI lifecycle: requirements → stakeholder meetings → UAT → Production → version control
▸ Author of "Python desde Cero con Jupyter Notebook" and BI instructor at ASEUTP - Asociación de Egresados de la Universidad Tecnológica de Pereira
My stack: Power BI · DAX · Python · SQL · Snowflake · Databricks · BigQuery · Apache Airflow · Azure · Git
Currently expanding into Microsoft Fabric for modern lakehouse architectures.
I'm open to direct-hire roles in Data Analytics, BI Development or Data Engineering — remote or on-site.
Let's connect. 📩 ckrestrepo@gmail.com