Dipika Endole

I am a driven and detail-oriented Data Engineer with 5 years of experience in designing and optimizing end-to-end data pipelines. My passion lies in building data solutions that enable actionable insights and support business growth. I have a strong foundation in Python, Spark, and SQL, and I am eager to leverage my technical expertise in big data technologies and cloud environments.

Throughout my career, I have successfully designed and implemented scalable data pipelines for various projects, including an e-commerce platform and a banking client. My experience includes working with Apache Spark, PySpark, and AWS services to ensure data quality, consistency, and reliability across pipelines. I thrive in collaborative environments, working closely with cross-functional teams to deliver high-quality datasets for reporting and analytics.