Piyush Jaisinghani

DevOps Engineer

Gurgaon, Haryana, India6 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in managing Confluent Kafka platforms.
Proficient in CI/CD pipeline management and automation.
Skilled in creating monitoring dashboards for real-time insights.

Stackforce AI infers this person is a DevOps Engineer specializing in SaaS and Cloud Computing.

Contact

Skills

Core Skills

DevopsCloud ComputingSite Reliability EngineeringData Analysis

Other Skills

AWS CloudFormationAmazon EKSAmazon Web Services (AWS)AnsibleApache AirflowApache KafkaApplication SupportArtificial Intelligence (AI)AutomationBig DataChange ManagementCloud ApplicationsCollaborative LeadershipComputer ScienceConfluent

About

DevOps Engineer with practical experience in both DevOps and Big Data technologies. - Proficient in Linux, Ansible, Docker, AWS Cloud, Bitbucket, Stash and Git. - Expertise in managing Confluent/Apache Kafka platforms. - Experienced with tools like Kubernetes, Docker, Grafana, Splunk, Sumo Logic, ScienceLogic, Jira, ServiceNow, BMC Helix, and BMC Remedy. - Experience with automation using Python, Bash, Ansible, and AWS CloudFormation. - Skilled in creating, monitoring, and troubleshooting jobs using Control-M and Tivoli (TWS IBM Scheduler). - Created monitoring dashboards in ServiceNow, Splunk, Sumo Logic, Grafana and Dynatrace. - Familiar with ITIL, ITSM, and handling incidents (P1-P4), releases, and change management. - Proficient in Excel report automation and Power BI [ Platform Engineer | SRE | DevOps | Cloud Engineer ]

Experience

6 yrs 9 mos

Total Experience

3 yrs 4 mos

Average Tenure

4 yrs 2 mos

Current Experience

Macquarie group

2 roles

Executive Devops Engineer

Promoted

Apr 2024 – Present · 2 yrs 1 mo · Gurugram, Haryana, India

Manage Confluent Kafka platforms, leveraging a strong understanding of its architecture.
Built scalable monitoring with Prometheus, Cortex and Grafana for real-time performance insights.
Manage CI/CD pipeline deployments and releases.
Containerize applications with Docker for seamless deployment across environments.
Work with tools such as Git, Confluence, Control-M, Splunk, JIRA, Airflow, and Kafka.
Design and implement scalable infrastructure using AWS CloudFormation and Terraform
Set up new platforms with Ansible and configure password-less SSH for easy EC2 communication.
Build DevOps dashboards and establish real-time alerts using Splunk for proactive monitoring.
Manage Git repositories to facilitate code collaboration and version control.
Provide L2/L3 support to resolve critical technical issues.
Lead weekend releases, ensuring smooth deployments through change validation.
Automate Excel business reports to enhance accuracy and efficiency.
Manage job scheduling and troubleshooting using Control-M.
Handle database updates while ensuring smooth deployments post-UAT testing.
Contribute to Disaster Recovery (DR) and Business Continuity Planning efforts.

SQLConfluentApache KafkaContinuous Integration and Continuous Delivery (CI/CD)DevOpsdocker+32

Senior DevOps Associate

Feb 2022 – Mar 2024 · 2 yrs 1 mo · Gurugram, Haryana, India

Apache KafkaDevelopment ToolsAnsibleContinuous Integration (CI)Microsoft Power BICloud Computing+17

Ameriprise financial services, llc

3 roles

Technical Operations Analyst

Jan 2021 – Feb 2022 · 1 yr 1 mo

Worked as an Application Support Engineer having experience in different tools and technologies such as Tivoli IBM Scheduler, ServiceNow, Sumo Logic, ScienceLogic, Dynatrace, Citra Test, Red Hat Linux and SQL server.
Hands on experience in creating various incident monitoring dashboards in ServiceNow, Critical Application log monitoring dashboards in Sumo Logic, UI monitoring dashboards in Dynatrace.
Automated Excel reports for data analysis and performance insights, reducing manual tasks by streamlining reporting processes.
Hands on experience in performing activities such as scheduling application failure email alerts or incident reports on various tools such as ServiceNow, Sumo Logic, ScienceLogic.
Experience in Linux administration, SQL Server management, and shell scripting for optimizing system operations and resolving issues.
Led incident, problem, and change management, ensuring seamless handling of P1, P2, and P3 critical
incidents, reducing downtime.
Hands on experience in creating Power BI Dashboards and Reports.
Maintained CI/CD pipelines in Jenkins, automating the build, test, and deployment processes, ensuring
efficient code integration and delivery.
Experience in creating/monitoring/troubleshooting jobs using Tivoli - IBM Scheduler.