Data Operations Engineer with hands-on experience in building, maintaining, and optimizing data pipelines using Python and SQL. Skilled in handling large and messy datasets, performing data validation, troubleshooting production issues, and ensuring data quality for reliable reporting and decision-making.
Experienced in working with ETL processes, API integrations, and backfill operations, with a strong foundation in SQL (primarily SQL Server) and growing expertise in PostgreSQL and modern data tools. Comfortable collaborating with cross-functional teams to understand data needs and deliver efficient, scalable solutions.
Detail-oriented and execution-driven, with a strong focus on accuracy, reliability, and continuous improvement. Eager to contribute to data-driven organizations by turning raw data into meaningful insights that support business growth.
