Vartika Tonk

Results-driven Data Engineer with 4.5+ years of experience in designing and maintaining AWS-based data solutions for scalable data generation, collection, and processing. Proven expertise in ETL pipeline development, data warehousing, and cloud architecture using AWS (Glue, EMR, Redshift, S3, Lambda) and Databricks (PySpark, Airflow). Strong background in SQL/PL-SQL optimization, data modeling, Oracle Database development, and data quality monitoring.

Adept at collaborating with cross-functional teams to deliver reliable, high-performance data systems.

Software Engineer at Cognizant Technology Solutions (2021-09 – Present)

Built and maintained ETL pipelines and data engineering solutions using AWS cloud services and Databricks.

• Built ETL pipelines using Databricks, PySpark, AWS Glue, and Redshift processing 30+ Million records/day, reducing forecasting cycle time by 40%.
• Developed and optimized complex SQL and PL/SQL queries, stored procedures, and validation logic in Oracle environments.
• Automated ingestion workflows for energy data on AWS S3 with transformation logic in Glue & Databricks, improving report accuracy by 35%.
• Designed 25+ custom validation rules to enforce data quality and monitoring across OLTP and OLAP systems.
• Integrated Airflow to orchestrate multi-stage data workflows, reducing failures and alerting time by 50%.
• Implemented IAM roles & Lambda functions for secure automation in data pipelines.
• Collaborated with product managers to design Data Lakehouse architectures aligned with business rules.
• Mentored 4+ junior engineers on SQL optimization, Git workflows, and PySpark performance tuning.

Bachelor of Technology in Computer Science – Dr. APJ Abdul Kalam Technical University (2017 – 2021)