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Data Engineer with 3.9 years of experience in designing, developing, and optimizing scalable data solutions across cloud and big data platforms.
Proficient in Python, PySpark, Snowpark, SQL, AWS, Azure, Databricks, and Snowflake, with a strong foundation in data processing, automation, and performance optimization. Experienced in building end-to-end ETL pipelines, handling large-scale data, and integrating diverse data sources including APIs, emails, web scraping, and cloud storage.
Demonstrated success in improving system performance and reducing execution time and infrastructure costs by implementing parallel processing, dynamic resource allocation, and efficient data workflows. Led migration of legacy Python pipelines to Snowpark, enhancing scalability and maintainability.
Hands-on experience in developing automation solutions, data ingestion frameworks, and high-performance APIs using FastAPI for reliable data delivery. Skilled in monitoring, troubleshooting, and maintaining production-grade pipelines in Databricks and cloud environments.
Strong collaborator with the ability to work across teams, ensure data quality, and deliver robust, data-driven solutions aligned with business requirements.
