Cloud data engineer with 3+ years of experience, skilled in designing, developing, and maintaining scalable data solutions. My profile summary includes:Technical Skills:📌 Proficient in Python & PySpark for data manipulation, data processing, and automation tasks.📌 Experience in collaborating with cross-functional teams to design, develop, and deploy Databricks solutions tailored to business requirements. 📌 Experience in analyzing and deriving source systems, metadata management, data architecture, data quality and metadata related output.📌 Strong experience in different type of Data Analysis covering business data, metadata, master data, analytical data.📌 Familiarity with cloud-based data platform like AWS, Azure for designing and implementing scalable and cost-effective data solutions.Key Responsibilities:📌 Designing and developing data pipelines to extract, transform, and load data from various sources into target data warehouses or data lakes.📌 Optimizing and performance tuning of ETL processes to ensure efficient and reliable data processing.📌 Keeping up-to-date with emerging data technologies, best practices, and industry trends to continuously enhance data engineering skills and knowledge.