Dhiraj Agarwalla

Software Engineer

Bangalore Urban, Karnataka, India6 yrs 5 mos experience
Highly Stable

Key Highlights

  • Achieved 20x reduction in data latency at Azure.
  • Designed automation reducing SKU conversion time from days to seconds.
  • Improved website functionality and patient tagging system.
Stackforce AI infers this person is a Cloud Computing and Data Engineering specialist with a focus on automation and data analysis.

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Skills

Core Skills

Cloud ComputingData EngineeringWeb DevelopmentData Analysis

Other Skills

AzureData Collection ServicesStorage ClustersAutomationData VisualizationWiFi Technology

Experience

6 yrs 5 mos
Total Experience
2 yrs 7 mos
Average Tenure
1 yr 2 mos
Current Experience

Meta

Software Enginner

Feb 2025Present · 1 yr 2 mos · London Area, United Kingdom · On-site

  • Working on the scribe team

Microsoft

Software Engineer

Jul 2020Dec 2024 · 4 yrs 5 mos · Bengaluru, Karnataka, India · On-site

  • ● Member of the Xstore Capacity Management team at Azure, tasked with
  • ensuring optimal performance and health of storage clusters within the
  • Azure infrastructure.
  • ● Spearheaded the redesign and implementation of data collection services,
  • resulting in a remarkable 20x reduction in data latency and 10x
  • improvement in service availability.
  • ● Designed and Implemented Azure storage account SKU conversion
  • automation, slashing response time from days to mere seconds and 0 lost
  • requests.
AzureData Collection ServicesStorage ClustersAutomationCloud ComputingData Engineering

Iit hyderabad

Placement Coordinator

Aug 2019Jun 2020 · 10 mos · India

My-healthconnect

Intern

May 2019Jul 2019 · 2 mos · Hyderabad Area, India

  • My role was that of a web developer. I improved the website and added some essential features. I also created an automated system for tagging of patients based on their available data.

Redpine signals

Project Lead

Feb 2017Apr 2017 · 2 mos · Hyderabad Area, India

  • My part in the project was to visualize the real-time data (flow of people on the campus). The data was gathered by sniffing WiFi probe packets. The data was visualized on a server so that it could be accessed from anywhere inside the local network using a web browser.
Data VisualizationWiFi TechnologyData Analysis

Education

Indian Institute of Technology Hyderabad

Bachelor of Technology — Engineering Science

Jan 2016Jan 2020

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