About
Data Engineer with 2 years of experience in developing and optimizing large-scale ETL pipelines using tools like Redshift, Databricks, Snowflake, and Hadoop.Proven ability to reduce processing times and automate complex data workflows using PySpark and cloud-based services. Adept at designing scalable, efficient data systems that enhance business decision-making.
Work
ZS Associates
|Technology Associate
Highlights
Designed and implemented an end-to-end sales crediting system for 340+ U.S. sales territories
Designed and executed an incentive program based on sales performance enhancing motivation among sales teams by rewarding top performers
Developed and orchestrated ETL pipelines using Apache Airflow, reducing data refresh times by 80%.
Optimized data processing with Spark techniques like caching and broadcast joins.
Migrated legacy scripts to event-driven AWS architecture using Glue, Lambda, and DynamoDB
Automated business logic in AWS Redshift with scheduled jobs (daily, weekly, quarterly), reducing manual interventions by 90%.
Design and Innovation Center, MHRD, Govt. of India
|Data Science Intern
Highlights
Analyzed 500,000+ global health records using Python and machine learning to identify trends in disease prevalence.
Developed 3 predictive models (Random Forest, XGBoost, Logistic Regression), improving accuracy by 15%.
Increased engagement by 40% through the deployment of a Tableau dashboard with 10+ interactive visualizations
Education
UIET Panjab University
Bachelor of Technology
Information Technology
Grade: 8.67/10
Government Model Senior Secondary School
Degree
Class XII
Grade: 83.4/100
Awards
PySpark End to End Developer Course
Awarded By
Udemy
Solved 900+ coding problems on LeetCode
strengthening algorithmic and problem-solving skills.
Represented research paper at the IEMIS 2022 International Conference.
Orchestrated a flawless global go-live for a top pharmaceutical client under aggressive timelines, earning recognition from the ZS Chairman for exceptional execution.
Skills
Languages
SQL, Python, Pyspark, C++.
Data Processing
Spark, Hive, EMR, Airflow, Databricks.
Data Storage & Warehousing
Amazon S3, AWS Redshift, Hadoop, Snowflake.
Data Analysis
NumPy, Pandas, Matplotlib, Tableau, MS Excel, MS Access, PowerPoint.
Cloud & Tools
AWS Glue, Lambda, DynamoDB, EC2.