Turning Data Complexity Into Clarity

Data silos, quality issues, and manual processing are among the most common challenges businesses face; Marketing teams export leads every week, executives wait days for consolidated reports because financial and operational data live in separate systems, and critical decisions are delayed because no one has a complete picture.

Quality issues undermine trust and waste resources. Contacts with invalid emails cause teams to chase dead leads, product catalogs containing inconsistent information that confuses customers, and leaders arguing over conflicting numbers.

Bottlenecks drain productivity; Managers spend hours creating reports, users wait days for simple queries, and critical spreadsheets break constantly. These challenges cost thousands in labor hours, missed opportunities, and poor decision making.

Automated pipelines sync marketing and sales platforms, unified dashboards pull from multiple sources automatically showing a more complete picture, and eliminate manual consolidation. Data cleaning validates contacts, standardizes information, reconciles discrepancies, and transforms unreliable data into trustworthy business assets.

Workflow automation, self service dashboards, and clear documentation free your team from hours of manual work, delivering faster and reliable insights. Most importantly, you gain resilience and scalability, your business no longer depends on one person who understands the complex Excel file. Teams can access insights on demand, and you have a reliable data infrastructure that grows with your business.

Hi, I'm Carlos Leon, a full stack developer and data analyst based in Bogotá, Colombia. I transitioned from environmental engineering to tech, driven by a passion for solving problems through automation and data driven insights.

I pursued studies in programming, business intelligence, and automation, building expertise in Excel, Python, Java, React, Django, and PostgreSQL. This allows me to approach technical challenges with an analytical mindset shaped by engineering principles.

I specialize in creating efficient data pipelines and automating workflows that save time and reduce costs. Building dashboards and reports using Excel, Google Sheets, and Looker Studio to make informed decisions. Developing Python scripts and using ETL tools like Fivetran to automate data workflows, dbt to ensure data quality, and BigQuery for scalable data processing.