Hector L.

I help companies solve complex data problems, whether it’s designing efficient ETL pipelines, optimizing SQL queries, setting up cloud-based data platforms, or tackling advanced mathematical and algorithmic challenges. With experience at Google, McKinsey, Upwork, and across multiple industries (insurance, O&G, agriculture, procurement), I specialize in delivering high-quality, scalable solutions. I also have a strong background in mathematics and competitive programming, having participated in international math and coding competitions. What I do: - ETL & Data Pipelines: Scalable architectures, Medallion models (Airflow, Dagster, Kedro, SQL) - Cloud Data Engineering: Google Cloud Platform (BigQuery, Google Cloud Storage, Dataflow, Kafka Pub/Sub, Cloud Composer, Datastream) - Backend Development and scripting: Python, Django, Node - Spark & Big Data: PySpark, Delta Lake, performance optimization - Data Modeling & SQL Optimization: Query tuning, warehouse design - Dashboards & Analytics: Power BI, Looker, Python - Mathematical & Algorithmic Problem-Solving: Optimization, numerical methods, algorithm design I combine strong technical expertise with leadership and communication skills, helping teams efficiently manage and analyze their data. If you need high-quality, well-documented, and optimized solutions, let’s talk!