I'm a Senior Software Engineer (Data Engineering) with 6+ years of experience designing and building scalable data platforms for enterprise organizations. Currently, I'm working with Nike through GSPANN, where I contribute to large-scale data engineering solutions in the Content Analytics and Owned Marketing platforms. My expertise lies in Python, PySpark, Spark SQL, Databricks, Delta Lake, Kafka, AWS, Airflow, and SQL. I have hands-on experience building batch and streaming data pipelines, optimizing Spark workloads, implementing Delta Lake best practices, and developing Near Real-Time data processing solutions that improve business reporting and operational efficiency. Beyond development, I actively take ownership of engineering activities including sprint planning, code reviews, stakeholder discussions, production releases, and mentoring team members. I enjoy solving complex engineering problems while balancing performance, scalability, maintainability, and business impact. I'm also an active user of AI-assisted development tools like Cursor, which I leverage for requirement analysis, impact analysis, technical documentation, code reviews, unit test generation, and engineering productivity - while ensuring all production changes are validated through engineering best practices. I enjoy collaborating with cross-functional teams, continuously learning new technologies, and building reliable data platforms that help businesses make faster and smarter decisions.