Data Engineer with strong experience building scalable data pipelines and analytics platforms on cloud environments. I work mainly with batch data processing, ETL workflows, and distributed systems, using PySpark and modern data stacks to deliver reliable, analytics-ready datasets. I have experience working across multiple industries, including finance, energy, telecom, manufacturing, and Oil & Gas, contributing to data platforms in regulated and high-demand environments. Core technologies: Python, PySpark, SQL, Airflow, dbt, BigQuery, Redshift, Databricks, AWS (S3, Glue, EMR), GCP (GCS, BigQuery), Spark. I’m a hands-on engineer who enjoys solving complex data problems, improving performance, and collaborating with cross-functional teams.