As a Jr. Data Engineer at 64 Squares, I design and implement data pipelines and storage solutions using snowflake, SQL, Python, and Hadoop. I apply my academic knowledge from my master's degree in computer applications and my passion for data transformation to deliver actionable insights for data-driven decision-making.In my current role, I have contributed to several projects that involved data ingestion, processing, analysis, and visualization. For example, I helped build a scalable data lake on snowflake for a large e-commerce client, which increased their data availability and quality by 40%. I also developed and optimized ETL processes using Azure Databricks and Python, which improved the performance and efficiency of the data workflows by 30%.