Yogeshwaran M is a Cloud Engineer with 4+ years of experience in Azure services, Python, and CI/CD practices. He has a strong background in data engineering and cloud infrastructure management.
Proven experience with production deployments on Azure Kubernetes Service (AKS)
Demonstrated ownership of CI/CD pipeline implementation using Jenkins and Azure DevOps
Expertise in managing Azure cloud infrastructure and services
Designed and implemented scalable data pipelines on Azure for optimized storage and processing
Integrated and managed CI/CD pipelines using Jenkins and Azure DevOps for automated testing and deployment
Successfully processed and analyzed diverse data types using Azure services and big data technologies
Overview: This project enables device tenants to engage with and utilize a Digital Surgery Platform to process and analyze data from various sources. Responsibilities: Created a React-based user interface leveraging a file search API for clinical users to access ingested files. Built a video streaming platform using Azure Media Service and Python for backend processing, integrated with React. Designed, developed, and maintained REST APIs using Flask for file upload and download functionality. Deployed applications on Azure Kubernetes Services (AKS) using Helm and implemented CI/CD pipelines using Jenkins and Azure DevOps.
Key outcomes:
Enabled device tenants to process and analyze data, enhancing platform utility
Delivered a functional video streaming platform with integrated front-end and backend
Overview: PlagBot is a sophisticated tool designed to detect and prevent plagiarism using machine learning models trained on extensive datasets of existing articles. Responsibilities: Collected data from various file formats, including PDFs, Word documents, and text files. Utilized tools and libraries like PyPDF2 and BeautifulSoup for parsing and extracting textual information. Cleaned and preprocessed the extracted data to ensure consistency and tokenized text into words or phrases. Loaded the transformed data into a structured database (MySQL).
Key outcomes:
Developed a tool to detect plagiarism using machine learning, enhancing content originality checks
Successfully extracted and processed textual data from diverse file formats
Overview: This project focuses on implementing data extraction and processing workflows, primarily from PDFs, and loading the cleaned data into Azure Data Warehouse and Data Lakehouse. Responsibilities: Implemented and managed the use of the ChatGPT API to extract table data from PDFs, developing automated workflows for accuracy. Designed and implemented cleaning pipelines using Delta Live Tables and Spark on Databricks.
Key outcomes:
Automated accurate and efficient data extraction from PDFs using ChatGPT API
Ensured data consistency and readiness for loading through robust cleaning and transformation pipelines
Key outcomes:
Developed a functional REST API to manage financial transactions for bonds and IPOs.
Implemented PostgreSQL for reliable data management in a financial services context.
Deployed and operated the project efficiently using Azure Cloud infrastructure.
YOGESHWARAN M
Azure Integration Developer