Phaniteja Puttapaka

Hyderabad

Summary

Data Engineer with 3 years of experience in building scalable data pipelines using Azure Data Factory, PySpark, and Azure Blob Storage to optimize ETL processes and manage large datasets. Skilled in data modeling, transformations, and creating interactive Power BI and Tableau dashboards for actionable business insights.

Overview

years of professional experience

Certification

Work History

Associate Data Engineer

Cognizant

Hyderabad

07.2021 - 05.2024

Designed and implemented data transformation pipelines using Azure Data Factory, performing extract, transform, and load (ETL) operations from multiple data sources like SQL, Excel, and cloud storage.
Created custom PySpark jobs to process large datasets, transforming raw data into structured formats for analytical reporting.
Developed automated data pipelines to clean and process data on a scheduled basis, reducing manual data entry tasks by 60%.
Monitored the performance of data pipelines and transformed datasets, optimizing Spark jobs for better memory management and execution speed, resulting in a 20% increase in data processing efficiency.
Utilized PySpark to implement scalable data transformation tasks, improving data processing times by 30% and ensuring consistent data quality across large datasets.
Created and optimized SQL queries to retrieve large datasets for analysis.

Education

MS - Computer Science

Scaler Neovarsity

07-2025

Bachelor of Technology - Electronics

CVR college of Engineering

01.2021

Skills

MySQL
Python
java
JavaScript
PySpark
Spark SQL

DataFrames
Pandas
Scikit learn
Azure Data Lake
Azure Blob Storage
Azure Data Factory

Accomplishments

Solved 500+ problems across various coding platforms.
Awarded Gold Badge for SQL on Hackerrank.
Consistently ranked among the top 10 performers in internal contests conducted by Scaler Academy.