Data Analyst

RAHUL GAJULA

**** ******* **, *** ****, Denton, TX, 76205

Ó 940-***-**** R **************@*****.*** LinkedIn Professional Summary

Data Engineer with 2 years of experience in designing and implementing ETL/ELT pipelines, automating data workflows, and extracting actionable insights using cloud technologies. Experienced in Python, SQL, data process- ing, and API integrations with proven expertise in Databricks, Azure Data Factory, and database management. Seeking to leverage strong technical foundation and analytical skills to build scalable data solutions in AWS environments.

Technical Skills

• Programming: Python (Pandas, SQLAlchemy), SQL, Java, Scala, Shell Scripting

• Cloud & Data Services: Azure (Data Factory, Data Lake, DevOps), Databricks, Virtual Machines

• Database Systems: MySQL, Oracle, PostgreSQL

• ETL/ELT: Data pipeline development, transformation logic, workflow automation

• Testing & Version Control: Unit testing, Git, CI/CD integration

• Data Visualization: Power BI

• Methodologies: Agile Development, Object-Oriented Programming Professional Experience

Data Analyst at Capgemini - Bengaluru, India Sep 2021 – Apr 2023

• Engineered and optimized ETL/ELT pipelines using Databricks and Azure Data Factory, improving data pro- cessing efficiency by 30%

• Developed automated monitoring solutions with Databricks notebooks integrated with Power BI for real-time analytics and reporting

• Implemented CI/CD workflows for pipeline automation using Azure DevOps, reducing deployment time by 40%

• Authored Scala scripts for complex data transformation jobs, processing over 5TB of enterprise data for the Unilever project

• Designed data extraction processes from multiple sources, ensuring data integrity and proper schema manage- ment

• Collaborated with cross-functional teams to integrate data solutions across the organization, supporting data- driven decision making

• Maintained and optimized SQL queries for improved database performance and reporting accuracy Project Experience

Travel Recommendation System Aug 2024 – Nov 2024

• Built an end-to-end data pipeline for processing travel data using Python and SQL

• Implemented feature engineering and machine learning algorithms for personalized recommendations

• Created a serverless architecture for data processing with automated workflows

• Developed unit tests to ensure code reliability and data accuracy Automated Greenhouse Monitoring System Nov 2019 – Jan 2020

• Designed an IoT-enabled data collection system using Python, Arduino, and Raspberry Pi

• Built data processing pipeline for environmental metrics, enabling real-time analytics

• Implemented automated control systems with Python scripts, reducing manual intervention by 25% Education

University of North Texas - Denton, TX Expected May 2025 Master of Science in Computer Science

CGPA: 3.86

Relevant Coursework: Software Engineering, Fundamentals of Databases, Big Data & Data Science Awards & Certifications

• ITDS Business Analytics Hackathon - 3rd Prize (Nov 2024)

• Azure Fundamentals (AZ-900) - Microsoft Certified

• Azure Data Fundamentals (DP-900) - Microsoft Certified

• Java Full Stack Development

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