YOGESHWARAN M  ·  Azure / Python Cloud Engineer  ·  4+ yrs

Mid-Level
4+ years experienceremote
Available within 48 hrs

About YOGESHWARAN

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.

4+ years of commercial experience in

Skills(20)

PythonAzure Kubernetes ServiceAzure DevOpsReactFlaskAzure Data Lake StorageAzure Media ServicesJenkinsHelmPyPDF2BeautifulSoupMySQLChatGPT APIDatabricksDelta Live TablesAzure Data WarehouseAzure Data Lake HouseApache SparkPostgreSQLMicrosoft Azure

Why hire YOGESHWARAN?

Production deploy authorityExpert in Azure services

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

Project highlights(4)

Digital Surgery PlatformData Engineer

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.

ReactAzure Media ServicesPythonFlaskAzure Kubernetes ServiceJenkinsAzure DevOpsHelm

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

Plagiarism Detection ToolData Engineer

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).

PythonPyPDF2BeautifulSoupMySQL

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

Retriever Data ManagementData Engineer

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.

ChatGPT APIDatabricksDelta Live TablesAzure Data WarehouseAzure Data Lake HouseMySQLPythonApache Spark

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

Trust CapitalPython Developer

  • The project involves facilitating the buying and selling of bonds, IPOs, and other financial services.
  • Developed REST API using Flask for server-side programming to support financial transactions.
  • Managed data using PostgreSQL for robust data storage and retrieval.
  • Leveraged Azure Cloud services as the primary environment for project deployment and operations.
PythonFlaskPostgreSQLMicrosoft Azure

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.

Industry experience

HealthTech

1 project
  • Digital Surgery PlatformData EngineerReact · Azure Media Services · Python · Flask +4

Logistics & Supply Chain

1 project
  • Retriever Data ManagementData EngineerChatGPT API · Databricks · Delta Live Tables · Azure Data Warehouse +4

Media & Entertainment

1 project
  • Digital Surgery PlatformData EngineerReact · Azure Media Services · Python · Flask +4

Ready to work with YOGESHWARAN?

Schedule an interview and onboard within 48 hours. No long hiring cycles.

At a Glance

Experience4+ years
Work moderemote
Starting from₹1.6 L/mo
Direct hirePossible
Start within48 hours
From₹1.6 L/ month

Single contract. No agency markup confusion.

Typically responds within 4 business hours.

5-day replacement guarantee
48-hour onboarding, single invoice
Direct chat — no recruiter middleman
Seniority signals
Owns production deploysSystem owner
VerifiedVetted by Witarist
Technical skills assessed & verified
Background & identity checked
English communication verified
Ready to onboard in 48 hours

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YOGESHWARAN M

Azure Integration Developer