As a Data Engineer, I specialize in leveraging cloud platforms like Azure, AWS, and Snowflake to build efficient, scalable data solutions. My expertise spans designing and optimizing data pipelines for ingestion, transformation, and migration across industries such as banking, healthcare, and retail.I have led successful migrations of legacy systems to cloud platforms, utilizing Azure and AWS while deploying Snowflake for data warehousing. My focus is on improving speed, reliability, and cost-efficiency, ensuring that data architectures support long-term business needs.My expertise include:Azure: I design robust data lakes, manage large datasets with Azure Synapse Analytics, and build end-to-end ETL pipelines using Azure Data Factory.AWS: I streamline data ingestion and processing by leveraging AWS S3 for storage and orchestrating data pipelines with Apache Airflow, integrating data seamlessly into Snowflake.Snowflake: I develop and manage high-performance data warehouses, automating data ingestion with Snowpipe and optimizing queries for faster analytics. My custom frameworks have reduced processing times by 40%.In previous projects, I’ve architected cloud data solutions for high-volume environments, boosting query performance by 30%. Additionally, I’ve integrated diverse data sources and orchestrated pipelines with Apache Airflow and DBT, ensuring efficient data transformation and storage.I’m open to freelance projects, contract work, or full-time roles where I can apply my cloud expertise to solve complex data challenges. I'm always looking to grow my personal and professional network.@ www.linkedin.com/in/samyukthayanapu