Akriti Tiwari

Managed and cleaned large datasets using Snowflake to ensure high data quality and usability across projects. o Built scalable data pipelines on AWS (Glue and EMR) for efficient data flow and processing. o Optimized complex SQL queries in Snowflake to enhance performance and reduce execution time by up to 40%. o Implemented ETL processes with AWS Glue to extract, transform, and load data seamlessly. o Leveraged AWS S3 and Snowflake for robust data storage, processing, and deployment. o Applied data modeling techniques in Snowflake to derive actionable business insights collaboratively with stakeholders.

Utilized Git for version control to collaboratively write, test, and debug code while adhering to software engineering best practices. o Employed IntelliJ IDEA as the primary IDE to develop new features, streamline coding workflows, and perform efficient debugging sessions. o Leveraged Python and Java for scripting and application logic, solving complex problems during feature implementation and bug fixes. o Applied debugging tools like breakpoints and profilers in IntelliJ to identify, resolve bugs, and ensure high product performance. o Used command-line tools and CI/CD pipelines to test code changes, validate scalability, and deploy updates seamlessly