A motivated data professional around 3 years as Data Engineer and 5 years as a Data Analyst, skilled in scalable data solutions, data modeling, and cloud technologies. Excels in cross-functional collaboration and problem-solving with a passion for leveraging data to solve complex business challenges.

Currently at Outcomes, I design and implement data solutions for data-driven decision-making. I build a robust ETL pipeline using AWS Glue, Python, PySpark, and Advanced SQL, ensuring data availability for analysis.

I was a Data Engineer at Capital One via Iquest Solutions, responsible for building robust data pipelines. I extracted customer account data from the data lake, transformed it as needed, and loaded it onto Snowflake data warehouse using technology like AWS, Python, Pyspark. As a Masters student at California State University, I worked on Big Data, NLP, and Time-series projects using Hadoop, Spark, and AWS. Previously, I worked at Micro Focus as a Business Planning Analyst.