Software Developer with Java and Python

- Design, create, and sustain scalable data pipelines using Google Cloud Platform tools, including BigQuery and Cloud Storage - Write high-performance, production-ready Python and SQL, optimizing queries for ETL processes - Develop intricate data models in BigQuery, incorporating partitioning, clustering, and materialized views - Collaborate with cross-functional teams, including business customers and Subject Matter Experts, to identify data requirements and deliver tailored solutions - Establish best practices for data quality, governance, and security - Monitor and resolve data pipeline issues, ensuring high availability and performance - Contribute to data architecture discussions and provide suggestions to enhance the data pipeline - Remain informed on new trends and technologies in cloud data engineering and cybersecurity - Exhibit strong communication skills to gather and convey relevant data and insights - Adapt to an Agile work environment, prioritizing tasks to deliver incremental value to customers - Proactively lead investigations and resolve data issues efficiently and ownership-style - Document processes and procedures for generating metrics