Machine Learning Data Engineer

Gowthami Polumuri

Athens, Georgia ***** ********.********@***.*** +1-706-***-**** www.linkedin.com/in/gowthamipolumuri Portfolio: gowthamipolumuri.netlify.app/

SUMMARY

Results-driven data engineer with proven expertise in designing and optimizing data pipelines, building scalable ETL processes, and data-driven solutions. Experienced in managing large-scale data systems, implementing data governance frameworks, and supporting advanced analytics initiatives to drive business growth. EDUCATION

Masters in Computer Science University of Georgia, Athens GPA: 3.79 / 4.0 Aug 2023- May 2025

Coursework: Algorithms Software Engineering Computer Networks DBMS Machine Learning Data Science Bachelors in Computer Science RGUKT, Nuzvid, India GPA: 8.79/10 Aug 2018- Aug 2021 SKILLS

Programming Languages: Python, SQL, Java, JavaScript(ES6+), TypeScript, R, Golang

Big Data Technologies: Apache Spark, Athena, Glue ETL, Hadoop, Kafka.

Cloud & DevOps: AWS (Lambda, Glue ETL, S3, RDS, SES), Azure, Docker, Kubernetes, CI/CD, Jenkins, GCP, Terraform.

Database Technologies: PostgreSQL, MySQL, Oracle, NoSQL, MongoDB, Redshift.

ETL & Data Tools: ETL Pipelines, Data Warehousing, Data Lakes, Data Modeling, Apache Airflow, Pandas, NumPy.

Analytics: Real-time Analytics, Batch Processing, Business Intelligence(BI) Tools.

Tools & Platforms: Git, Linux, Jira, Agile Methodologies, Confluence. CERTIFICATIONS

AWS Certified Developer Associate: Amazon Web Services, 2025

AWS Certified Solutions Architect: Amazon Web Services, 2024

Google Data Analytics Certificate: Coursera, 2023 WORK EXPERIENCE

Software Analyst Capgemini, Hyderabad Nov 2021 – July 2023

Developed and optimized scalable data pipelines using AWS Glue, Lambda, S3, and RDS, improving data processing efficiency by 30%.

Extracted, cleaned, and validated complex datasets from multiple partners, ensuring data accuracy and integrity by leveraging PLSQL and AWS services, which streamlined workflows and improved reporting accuracy.

Automated file transfers and data management using AWS Lambda, PostgreSQL, and Athena, along with an SFTP server integration, reducing manual intervention by 50% and boosting data handling efficiency.

Reduced AWS operational costs by 20% through proactive cost management strategies, including automated resource monitoring and efficient data storage practices, leading to sustainable, cost-effective operations.

Developed automated notification workflows utilizing AWS SES, Lambda, Step Functions, SNS, and an SFTP server to facilitate timely alerts for critical events, ensuring stakeholders receive real-time updates on pipeline status and error reporting.

Software Engineer Intern HCL, Gannavaram Apr 2021 – Oct 2021

Supported data integration tasks and database management for a Hospital Management System, improving data flow efficiency.

KEY PROJECTS

CineQuest: Engineered movie booking website using AngularJS and Spring-Boot featuring an admin panel for site management and appealing UX design for user panel for booking, and browsing available movies.

Leaf Disease Prediction: Implemented a Machine Learning (ML) model in Python for agricultural data analysis, improving prediction accuracy by 20%.

UGA Dining platform: Developed a data-driven platform using ReactJS and MySQL, optimizing order processing efficiency by 25% through data analytics and real-time reporting dashboards.

Breast Cancer Detection: Developed a Naive Bayes-based machine learning model for breast cancer prediction and built a Flask web app for real-time user input and diagnosis based on clinical data.

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