Abhilash Dikshit DevOps
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I'm not just an average Software engineer. I'm an otherworldly being on a mission to help HUMANS. Equipped with advanced extraterrestrial technology, I'm here to explore different dimensions of AI.

With a touch of intergalactic flair, I bring a unique cosmic perspective to the table. I thrive on interstellar knowledge and possess unparalleled expertise in DevOps and Data Analyst field. From unraveling the mysteries of Cloud to navigating the uncharted realms of Super Intelligence👾, I'm all set to venture where no one has gone before.

But hey, it's not all cosmic exploration 🛸 and scientific discoveries📡! When I'm not exploring the cosmos🌌, you can find me engaging in intergalactic arts, tattoos and indulging in alien cuisine. I believe in the power of unity across galaxies and embrace diversity in all forms.

So, let's join forces and embark on an extraordinary journey together. Together, we can transcend boundaries and create a universe of possibilities. Get ready to experience the extraordinary with Abi! 🚀

Subjects

  • DevOps Beginner-Expert

  • DevOps - AWS - Jenkins, GIT, Puppet, Ansible, Terraform, Docker Beginner-Expert

  • Data Analyst Beginner-Intermediate

  • SQL and Data warehousing Beginner-Expert

  • GitHub Beginner-Expert

Experience

  • Career Peer Advisor (Sep, 2023–Mar, 2024) at Northeastern University, Vancouver, Canada
    Skillset: Business Analytics, Mentoring, Event organizer, Leadership
    • Designing and delivering workshops and seminars on various career-related topics such as networking, job
    market trends, and industry-specific insights, mentoring with Industry professionals
  • DevOps Specialist (Feb, 2023–Sep, 2023) at VoPay, Vancouver, Canada
    Tech stack: Linux, AWS, VMware, Bitbucket, MySQL, Postman, Datadog, Python, PHP, JAVA, HTML, CSS, JIRA,
    Confluence, AWS CloudFormation and Lambda, Slack, Business Analytics, Data Analytics, Predictive Analytics
    • Individually tackled and resolved bugs reported by customers, involving adjustments to the database schema
    by raising Database Change Requests (DCRs) in coordination with the Vice President of Technology.
    • Developed customized Python and MySQL scripts for precise data extraction for different payment rails in
    Canada and the USA, providing valuable insights to management using predictive analytics.
    • Created real-time analytics dashboards using the Datadog monitoring tool, enabling proactive decisionmaking
    through transactional logs, and improving monitoring capabilities for production and scheduled jobs.
  • DevOps Consultant (Feb, 2021–Aug, 2022) at Deloitte, Bengaluru, India
    Tech stack: Linux, AWS, PCF, Docker, Bitbucket, Maven, jFrog Artifactory, TeamCity, MongoDB, Postman, Splunk, Python, Streamsets, Kafka, JIRA, Confluence, Slack, CyberArk, HashiCorp Consul, SonarQube, CI/CD
    • Collaborated on a 10-member team to design and implement a robust CI/CD pipeline for deploying
    microservices.
    • Implemented Git Branching strategy to ensure coherent automated deployment across DEV, SIT, NFT, PROD environments. Strategically integrated SonarQube and the OWASP plugin to elevate testing capabilities and ensure code quality for enhanced technical efficiency.
    • Executed the Blue-Green deployment strategy, ensuring seamless production releases with zero downtime— a valuable contribution to CI/CD pipeline expertise for DevOps.
  • DevOps Engineer (Oct, 2019–Feb, 2021) at Larsen & Toubro Infotech, Bengaluru, India
    Tech stack: Linux, AWS, Docker, Swarm, Bitbucket, GitLab, Maven, jFrog Artifactory, Jenkins, Postman, Nagios, Prometheus, Python, JIRA, Confluence, Slack, CyberArk, CI/CD, Perforce, and Proprietary Database
    • Developed Python scripts for version upgrades of GitLab, Jira, and Artifactory, following an n-1 policy through CI/CD Pipeline. Also, enhanced other scripts to improve monitoring and security performance.
    • Collaborated with vendors, Product owners, AWS, and Database engineers to configure GitLab and facilitate cross-region migration in AWS, enhancing project efficiency from 28% to 85%.
  • Associate Software Engineer (Oct, 2016–Oct, 2019) at Capgemini, Mumbai, India
    Tech stack: Linux, AWS, AWS Cloud Formation, Docker, GitHub, Maven, jFrog Artifactory, Jenkins, Grafana,
    SonarQube, Python, JIRA, Confluence, Slack, CI/CD
    • Implemented robust monitoring solutions with monitoring tools like Grafana, enabling proactive issue
    detection and reducing system downtime by 25% through swift incident response and resolution.
    • Streamlined deployment processes by implementing infrastructure as code using AWS Cloud Formation and Terraform, resulting in a 30% reduction in deployment time and improved consistency across environments.

Education

  • Master of Professional Studies in Analytics (Sep, 2022–Mar, 2024) from Northeastern University, Vancouver, Canada–scored 3.91

Fee details

    CA$20–50/hour (US$14.08–35.21/hour)

    Reach out directly for further discussion.

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