Gowtham
Alasakani

Millennium Intech Private Limited | Chennai

• Designed and maintained scalable CI/CD-style ETL pipelines using Python, SQL, and AWS S3, EC2, and RDS, automating high-volume industrial sensor data ingestion from manufacturing equipment and reducing manual intervention by 40%.
• Managed and optimized cloud infrastructure on AWS EC2 and S3, ensuring high availability, performance monitoring via CloudWatch, and robust data flow across production environments.
• Containerized Python processing workloads using Docker, improving deployment consistency across development, staging, and production environments.
• Applied Azure DevOps, Kubernetes, Ansible, and Terraform within the DevOps environment's deployment and infrastructure workflow, using CI/CD pipelines, container orchestration, configuration management, and infrastructure as code to make environments more repeatable and releases more reliable.
• Applied machine learning techniques using TensorFlow to analyze operational patterns, driving a 25% uplift in model accuracy through advanced feature engineering.

InternPe | Bangalore, India

• Built and tested RESTful APIs with Node.js and Express.js, improving performance under increased traffic.
• Reduced critical bug resolution time by 40% and elevated application uptime to 99% through weekly backend troubleshooting using Node.js, MongoDB, and Docker.
• Coordinated integration of plant operations data workflows into the software platform, improving real-time monitoring by 30%.

Oasis Infobyte | Hyderabad, India

• Delivered responsive web applications with HTML, CSS, JavaScript, React.js, and Bootstrap.
• Performed end-to-end troubleshooting from browser to infrastructure, network, and database layers.
• Automated CI/CD pipelines with GitHub Actions on AWS EC2, expediting delivery cycles by 30%.

Phoenix Global | Hyderabad, India

• Developed supervised ML models, achieving an 8% accuracy improvement over baseline benchmarks.
• Performed exploratory data analysis, feature engineering, and preprocessing to improve training effectiveness.
• Used Python (Pandas, Scikit-learn) and AWS EC2 to train, test, and evaluate models on structured datasets.

Chicago Education Advocacy Cooperative | Remote

• Engineered and maintained ETL pipelines in Python and JavaScript, translating stakeholder feedback into technical data solutions supporting 1,600+ K-12 and adult learners.
• Collaborated with program leadership to align data reporting with strategic mission goals via Tableau dashboards and SQL reporting.
• Established analytics frameworks enabling monthly evaluation of program outcomes and stakeholder satisfaction KPIs.