Paresh Patil

About Paresh Patil

Hi, I’m Paresh, a DevOps Engineer passionate about automation, infrastructure-as-code, CI/CD, and cloud computing across AWS, Azure, and GCP. I specialize in building efficient, scalable, and secure systems by automating infrastructure, streamlining integration and deployment processes, and enabling continuous delivery at scale. I’m driven by the challenge of simplifying complex workflows and accelerating innovation through DevOps excellence.⇿ What sets me apart?I bring a data-driven mindset to DevOps. Beyond automation, I focus on leveraging data to improve reliability and decision-making. I’m skilled in data extraction, transformation, and analysis, with hands-on experience in Power BI, MongoDB, data modeling, data cleaning, and DAX. This enables me to translate system metrics into actionable insights, enhance observability, and continuously optimize delivery pipelines. Key Expertise: Cloud Platforms: AWS, Azure, GCP Automation & IaC: Terraform, Ansible, CloudFormation CI/CD: Jenkins, Azure DevOps, GitHub Actions, GitLab CI/CD Containerization: Docker, Kubernetes🤖 AI & Automation: GenAI, LLM-based automation, RAG (DB Connectivity), workflow automation Monitoring & Data: Datadog, Prometheus, Grafana, CloudWatch, Power BI, SQL, MongoDB, PostgreSQL🧠 Data & Workflows: Azure Data Factory, Apache Airflow Security & Ops: HashiCorp Vault, Azure Key Vault, IAM, RBAC, Secrets Management Version Control & SCM: Git, Bitbucket, GitHub, GitLab, ADOScripting: Python, Bash/ Shell, Groovy, YAML, JSON A few wins I’m proud of:• Reduced infrastructure setup time by ~70% using Terraform and Ansible• Improved CI/CD reliability and reduced MTTR by ~60% through intelligent monitoring and failure analysis• Built AI-powered automation solutions using LLMs and basic RAG workflows, saving ~35+ hours/week of manual effort• Reduced alert noise by ~45% using data-driven observability dashboards• Stabilized Kubernetes deployments, cutting failure rates by ~40%I bring a strong mix of DevOps thinking and data clarity, focused on building systems that are not just automated, but intelligent, measurable, and scalable.If you\'re working on cloud, DevOps, or AI-driven automation challenges, feel free to connect or reach out.

Experience

1. Devops Engineer

   PwC

   Oct 2025 — Present · Mumbai, IN

   Working as a Senior DevOps Engineer focused on cloud automation, production reliability, and scalable data platforms across Azure and GCP.Driving automation-first DevOps practices to eliminate manual operational work and accelerate delivery across enterprise systems.Engineered an AI-powered multi-database platform with LLM + RAG, enabling natural language queries across SQL/NoSQL systems and replacing tools like pgAdmin & Studio 3T, saving ~35+ hours/week and streamlining developer workflows.Automating Azure Data Factory production analytics deployments, significantly reducing time spent on creating and updating dataflows, datasets, and pipelines.Supporting cloud-native workloads on GCP, including log analysis, workload monitoring, and data pipeline operations using Composer (Airflow).Managing CI/CD and release workflows using Azure DevOps across multiple environments with a strong focus on stability and repeatability.Monitoring production infrastructure using Datadog and handling incidents via ServiceNow, ensuring fast triage and minimal business impact.Focus areas: DevOps Automation | Cloud Platforms | Production Reliability | CI/CD | Data Platform Operations

Education

• Bharati Vidyapeeth College of Engineering, Navi Mumbai

  Bachelor of Engineering, Information Technology