Luan Pieri

With 7 years of experience in Data Engineering, I specialize in optimizing data workflows, implementing cost-effective solutions, and ensuring data quality to drive impactful business outcomes.

Expertise:
Cloud Computing: Extensive experience with AWS services.
Programming Languages & Tools: Proficient in Python, PySpark, SQL, and NoSQL databases.
Data Pipelines: Expertise in ETL processes, managing both batch and streaming data.
Platforms & Tools: Skilled in Databricks, Airflow, Docker, CI/CD pipeline implementation and others.
Databases: Hands-on experience with PostgreSQL, MongoDB, ElasticSearch, Redshift and more.
API Development: Designing and integrating APIs for seamless data exchange.
I work on solving complex data challenges, from optimizing pipelines to building scalable solutions that enhance business efficiency. My work bridges the gap between raw data and actionable insights, empowering organizations to make data-driven decisions confidently.

Passionate about innovation, I am dedicated to continuous growth and delivering solutions that simplify processes and maximize value.

SKILLS:
AWS, Azure, Airflow, Docker, Python, PySpark, Databricks, Elasticsearch, NoSQL, SQL, PostgresSQL, MongoDB, Redshift, MSSQL, GIT, CI/CD (Continuous Integration/Continuous Deployment), Data Lake, Data Warehouse, ETL (Extract, Transform, Load).