Siddharth Tiwari — Data Engineer

Data engineer with 3 years of experience operating and supporting production-grade cloud systems on Microsoft Azure, with a strong focus on reliability, availability, performance optimization, and intelligent automation. Hands-on experience in Linux-based environments, cloud infrastructure operations, and incident management, including troubleshooting high-severity production issues, performing root cause analysis (RCA), and implementing automation-driven preventive measures to improve system stability and reduce repeat incidents. Skilled in monitoring, alerting, and observability, with experience leveraging data-driven insights to identify performance bottlenecks, reduce system downtime, and minimize operational toil. Strong understanding of SRE principles, including proactive monitoring, error reduction, and continuous reliability improvement through automation. Experienced in building and maintaining CI/CD pipelines using Azure DevOps, automating deployments, and enforcing consistency across environments. Proficient in Python and shell scripting for operational automation, self-service tooling, and reliability workflows, enabling faster recovery and reduced manual intervention. Comfortable working in on-call rotations, collaborating with cross-functional engineering teams during incidents, and using structured incident analysis to drive long-term reliability improvements. Actively focused on AI-assisted SRE practices (AIOps)—such as intelligent alerting, trend-based anomaly detection, and automation-first remediation—to build scalable, resilient, and production-ready cloud systems.

Stackforce AI infers this person is a Data Engineer specializing in cloud infrastructure and automation within the Fintech industry.

Location: Mumbai, Maharashtra, India

Experience: 3 yrs 4 mos