Gabriel León Castro

Profile

Analytics Engineer with 5+ years building scalable data models, semantic layers, and BI solutions on modern stacks (Snowflake, Power BI, SQL-based ELT). Proven track record designing production-ready reporting solutions, defining business metrics, and performing deep-dive analysis to identify root causes and improvement opportunities. Experienced translating business requirements into analytical solutions and dashboards that support operational decision-making across cross-functional teams.

Experience

1. Consultant II, Analytics Engineering · Hakkōda, an IBM Company

   October 2024 - February 2026 · Heredia, Costa Rica

   • Redesigned Power BI semantic models that cut dataset refresh times by ~42% (from ~60 to ~35 min), improving usability for 6 business stakeholders.
   • Developed and supported Snowflake-based data warehouse solutions, including data modeling, ingestion pipelines, and transformation layers aligned with analytics best practices.
   • Collaborated with cross-functional teams (data engineers, analysts, and business users) to gather requirements and deliver scalable, production-ready analytics solutions.

2. Data Analyst · SGF Global

   August 2022 - August 2024 · Heredia, Costa Rica

   • Developed and maintained dashboards and reports using Power BI and Tableau.
   • Designed SQL queries and scripts to extract, transform, and analyze data from relational databases.
   • Built forms and automations using Power Apps and Power Automate to improve operational workflows.
   • Built automated reporting and exploratory analysis in Python/Pandas on survey and operational datasets.

3. Data Specialist · DHL

   May 2021 - April 2022 · Heredia, Costa Rica

   • Designed and implemented a centralized database infrastructure for the Americas Service Desk.
   • Built a Gradient Boosting classifier forecasting Service Desk demand a quarter ahead, deployed on Azure as an alerting system; widening the training history lifted accuracy from 63% to 81%.
   • Analyzed agent KPIs to support performance improvement and compensation models.
   • Built dashboards and reports using Power BI and Python to communicate insights to stakeholders.
   • Cleaned, transformed, and analyzed large datasets using SQL.

4. Data Analyst · Intel Corporation

   October 2019 - April 2021 · Heredia, Costa Rica

   • Developed SQL queries and Python scripts to automate data collection and analysis.
   • Conducted exploratory data analysis to identify trends and performance improvement opportunities.
   • Built dashboards and reports using Power BI and Excel for leadership teams.
   • Modeled and analyzed processor architecture data to support current architecture optimization and future architecture development.

Technical Skills

• Data & Analytics: SQL, Python, Power BI, Tableau, Snowflake
• Data Engineering: ETL / ELT, Data Modeling, Data Warehousing
• Programming & Libraries: Pandas, NumPy
• Databases: SQL Databases, NoSQL Databases
• Tools & Productivity: Excel (Advanced), Power Apps, Power Automate
• Also familiar with: R Language, TensorFlow, Scikit-Learn, Streamlit, Azure, AWS, Apache Hadoop, Apache Spark