Vamsi Pullagura

Phoenix,Arizona

Summary

Results-oriented Data Engineer with a foundation as a Java Full Stack Developer and over one year of experience designing and maintaining scalable data-driven applications. Skilled in building robust data pipelines, implementing ETL processes, and managing both structured and unstructured datasets. Proven ability to work across the data lifecycle-from acquisition to visualization-using technologies such as Java, Python, SQL, Apache Spark, and AWS. Strong collaboration and communication skills with a track record of contributing to cross-functional teams and delivering impactful solutions that align with business objectives.

Overview

year of professional experience

Certification

Work History

Data Engineer

Mphasis Pvt Ltd

Hyderabad, India

06.2022 - 08.2023

Built and maintained robust ETL pipelines using Apache Airflow and Talend to automate data ingestion and transformation from multiple data sources
Developed a real-time analytics dashboard using Java, Spring Boot, and React to provide actionable business insights
Constructed RESTful APIs and integrated them with backend databases to ensure high-performance data access
Created and optimized database schemas in MySQL and PostgreSQL to improve query performance by 30%
Engineered responsive UI components in Angular for enhanced user experience across devices
Engaged in Agile-based sprint planning and delivered features consistently under tight deadlines
Conducted weekly knowledge-sharing sessions and contributed to internal code libraries for reusability

Education

Master of Science - Information Technology

Northern Arizona University

12.2024

Bachelor of Technology - Electronics & Instrumentation

Sastra University

08.2022

Skills

Java
Python
Scala
C
Apache Spark
Hadoop
Hive
Apache Airflow
Talend
NiFi
MySQL
PostgreSQL
MongoDB
Cassandra
AWS

Azure
GCP
Git
Jenkins
Docker
Kubernetes
Kafka
Spark Streaming
Angular
HTML
JavaScript
Power BI
Tableau
Agile
Scrum

Websites

linkedin.com/in/vamsipullagura

Certification

AWS Certified Data Analytics - Specialty
Google Cloud Professional Data Engineer
Python for Data Science, Coursera
Data Engineering with Google Cloud, Coursera

Projects

Accurate Short Text Classification Using Bi-LSTM, Developed a sentiment analysis engine to classify large volumes of user-generated content using NLP and deep learning, Built and trained multiple machine learning models; Bi-LSTM achieved the highest accuracy among them, Focused on enhancing data preprocessing techniques and feature engineering to improve model performance.

Enabled scalable sentiment tracking to support real-time public opinion monitoring on social media platforms Sales Data Pipeline and Reporting Dashboard, Designed and implemented an end-to-end data pipeline using Apache Airflow, Spark, and AWS S3 to process over 10 million records daily, Integrated transactional data from multiple sources (CSV, API, and SQL databases) into a centralized data lake, Built an automated reporting dashboard using Power BI to provide real-time insights into sales trends, performance, and anomalies, Reduced manual reporting efforts by 70% and improved decision-making for sales and marketing teams IoT Sensor Data Ingestion and Analysis Platform, Engineered a scalable pipeline to collect and process real-time IoT sensor data using Apache Kafka and Spark Streaming, Stored processed data in a NoSQL database (MongoDB) for rapid access and analytics, Implemented monitoring and alerting with Grafana and Prometheus to track system health and sensor anomalies, Enabled predictive maintenance capabilities by analyzing trends and anomaly detection in temperature and vibration data

Timeline