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Aniruddha J. - Docker Developer, GitLab, Python

My name is Aniruddha J. and I have over 2 years years of experience in the tech industry. I specialize in the following technologies: DevOps Engineering, Amazon Web Services, Azure, Terraform, MLOps, etc.. I hold a degree in Bachelor of Science in Information Technology, Bachelor's degree, Bachelor's degree. Some of the notable projects I’ve worked on include: Cloud Migration for scalable Travel Website, A serverless approach to export large volume of cloudwatch logs to S3, Windows process and server monitoring with Prometheus + Grafana. I am based in Pune, India. I've successfully completed 3 projects while developing at Softaims.

My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.

Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.

I’m committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.

Main technologies

  • Docker Developer

    2 years

  • DevOps Engineering

    1 Year

  • Amazon Web Services

    1 Year

  • Azure

    1 Year

Additional skills

  • DevOps Engineering
  • Amazon Web Services
  • Azure
  • Terraform
  • MLOps
  • Ansible
  • Jenkins
  • Kubernetes
  • CI/CD
  • Grafana
  • Prometheus
  • Docker
  • GitHub
  • GitLab
  • Python

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Experience Highlights

Cloud Migration for scalable Travel Website

Travelsouq had an on-prem infrastructure, consisting of 10 servers of varying age & specification, split across different racks in a single datacenter. The setup was a mixed bag of issues related to performance, reliability and options for rapid recovery. A major architectural review was required. Various options were analysed including in-house replacement, hybrid solution across cloud and in house setup and private cloud deployment.

A serverless approach to export large volume of cloudwatch logs to S3

Our client had a large volume of Cloudwatch logs which needed to export to S3 where Cloudwatch log export functionality is not helpful because of logs size and 24 hours timeout limitations. We needed to create a scalable solution which can push these logs to S3. We can use same solution to push these logs to some other source as well.

Windows process and server monitoring with Prometheus + Grafana

Our client had existing Prometheus+Grafana setup where they needed help to create dashboards for Windows services where we can visualize the time when specific service is in running or stopped state. We created dashboards which also showcase the count of specific running and stopped services. Windows treat services and applications differently. Also, to monitor these parameters we also need to update the Prometheus windows exporter configuration. We can either do it via CLI or update the yaml config file.

Education

  • Prof. Ram Meghe Institute of Technology & Research, Badnera

    Bachelor of Science in Information Technology in

  • VidyaBharati Mahavidyalaya

    Bachelor's degree in

  • Shri Ganeshdas Rathi Vidyalaya

    Bachelor's degree in

Languages

  • English
  • Hindi
  • Marathi (Marāṭhī)

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