I am a Data Engineer with a Master's degree in Computer Engineering from New York University. I have proven expertise in designing and implementing robust data pipelines, optimizing data infrastructure, and leveraging cutting-edge technologies to drive actionable insights. Strong programming skills in Python, Java, and SQL, along with proficiency in a wide range of data frameworks and tools. Committed to delivering scalable and efficient data solutions in fast-paced, collaborative environments. I am currently a SWE in data domain at Microsoft. I have interview experience with Meta, Apple, Tesla, TikTok, Intuit. Interests: Data Science, Data Engineering, Data Visualization, Machine Learning, Software Engineering, Software Development, Data Analytics, Business Analytics, Business Intelligence, Deep Learning. Skills: Languages: Python, Java, SQL, Scala Big Data Technologies: Hadoop, Spark, Hive, Airflow Machine Learning Frameworks: PyTorch, TensorFlow, Keras Data Manipulation Libraries: Pandas, NumPy, SciPy Visualization Tools: Power BI, Tableau Web Technologies: React, Node.js, TypeScript Database Systems: PostgreSQL, MySQL, NoSQL, MongoDB Cloud Platforms: GCP, Azure Version Control: Git Agile Methodologies: Scrum, Kanban Portfolio Website: https://navyajammalamadaka.github.io/navyaPortfolio/