Harshini Dyava

• Over 3.5 years of experience working as a Data Engineer in designing & building data pipelines, data lakes & data warehouses on AWS and Azure. • Proficient in programming languages such as Python and SQL for data manipulation and transformation. • Skilled in designing and optimizing data architectures for scalability, performance, and cost-efficiency. • Hands-on experience with big data technologies like Hadoop, Spark, and Hive. • Solid understanding of data modeling, database design, and data warehousing concepts. • Familiarity with Data Governance, Data security, and Compliance best practices. • Involved in SDLC requirements gathering, analysis, design, development & testing application using Agile methodologies. • Excellent problem-solving skills and the ability to troubleshoot and optimize data pipelines for performance and scalability.