nikitha User

Design, develop, and maintain production data pipelines using Python, SQL, PySpark, AWS Glue, EMR, S3, Redshift, Snowflake, and Airflow for multi-terabyte enterprise datasets. Implement automated validation, reconciliation, and monitoring to strengthen data quality and production reliability.

Developed reusable Python, SQL, PySpark, and AWS Glue ETL/ELT frameworks integrating relational databases, REST APIs, files, and cloud sources. Built analytics-ready datasets and dimensional models across Databricks, Delta Lake, Snowflake, Redshift, and PostgreSQL.

Developed Python, SQL, and PySpark ETL pipelines using AWS Glue and S3 to extract, cleanse, transform, and deliver enterprise data for reporting and analytics. Created reusable SQL queries, views, stored procedures, and metadata-driven ETL logic across multiple databases.

Pursued a Master of Science in Computer Science, focusing on advanced topics in computing and data engineering.

Earned a Bachelor of Technology in Computer Science, building a strong foundation in software development and data processing.