📍 Location: Rio de Janeiro, Brazil
📫 Contact: philip.martt@outlook.com

I am a passionate Data Engineer with a focus on creating innovative and profitable data solutions. With extensive experience in leading the architecture and implementation of large-scale systems using cutting-edge technologies like Python, SQL, Spark, Big Query, and Snowflake, I thrive on optimizing data processes and enhancing business insights.

• Cloud Platforms: AWS, Azure
• Data Processing: Spark, Databricks, Snowflake, BigQuery, DuckDB
• Transfomation Tools: dbt
• Orchestration Tools: Airflow, Control-M
• Dataviz: Power BI, Looker Studio, Streamlit
• Programming: Python, SQL
• Other tools: Nifi, Pentaho, knime, SAS Enterprise Guide, SAS DI

Developed and implemented the Data Lake architecture at CNseg, based on a modern data stack, improving vehicle theft monitoring, developed applications in pyspark that process 4TB (over 700.000.000 rows) of data from the Brazilian federal government monthly to deliver information to the insurance market that confirms or not the employment relationship of a worker, I also created dashboards that help insurance companies in Brazil understand their market positioning and identify opportunities to expand their business.

Contributed to data engineering efforts at SONDA, developing and testing data ingestion processes using SAS for asset pricing.

Led the planning and implementation of analytics solutions, developed ELT and ETL processes, and supported data integration from various sources within the Google Cloud Platform environment.

• Post Graduate in Data Science & Analytics, PUC-RIO, in progress, started at 2024-05
• MBA in Data Engineering, FIAP, 2022-2023
• Bachelor's in Data Science, UNIVERITAS, 2020-2022

Feel free to reach out to me via email or LinkedIn for collaborations or to learn more about my projects.