Suhas Adhav

With more than 8 years of diverse experience in the IT industry, spanning Database Administration, Web Development, DevOps, Cloud Solutions, and Blockchain/Smart Contract Development


  • Frontend Development: Proficient in JavaScript and ReactJS
  • Backend Development: Skilled in Python with Django framework
  • Containerization and Orchestration: Experienced with Docker, Kubernetes, Openshift, and Helm
  • Automation and Orchestration: Proficient in Jenkins, Gitlab, Ansible, and Python
  • Source Control: Expertise in Git, Github, Bitbucket, and Gitlab
  • Cloud Computing: Familiar with AWS and Azure platforms
  • Database Management: Skilled in Oracle and Postgres
  • Blockchain and Web3: Competent with Solidity and Web3.js
  • Blockchain and Smart Contracts: Proficient in Ethereum development


As a DevOps

  • Database Automation - Ensuring Data Reliability and Availability: I possess a strong aptitude for automating the installation and configuration of Postgres Databases, utilizing advanced tools such as Patroni and HAProxy. This automation guarantees High Availability (HA) and Disaster Recovery (DR), critical for maintaining data integrity and accessibility.
  • Cloud Automation - Streamlining Cloud Workloads: My track record demonstrates a deep proficiency in automating workload management within the cloud environment. I have leveraged Python scripts to automate tasks across both AWS and Azure Cloud platforms, enhancing operational efficiency and resource utilization.
  • Expertise in EKS Cluster Management - Ensuring Scalable Deployments: With a proven track record, I excel in the creation, management, and administration of EKS clusters, specifically tailored for production workloads. This expertise ensures scalable and reliable deployments, critical for dynamic environments.
  • AWS Cloud Services Proficiency - Navigating AWS Ecosystem: I bring extensive experience in navigating the AWS ecosystem, encompassing a wide array of services such as EC2, EKS, ECR, EBS, EFS, VPC, subnetting, S3, Boto3 Python, and RDS. My proficiency in these services enables seamless operations within the AWS cloud environment.
  • Azure Cloud Proficiency - Mastering Azure Services: I have honed my skills in Azure cloud services, encompassing Azure VMs, AKS (Azure Kubernetes Service), Virtual Network configurations, Azure Container Registry (ACR), and PostgreSQL database management. This proficiency empowers effective operations in the Azure cloud ecosystem.
  • Terraform for Infrastructure Provisioning - Building Scalable Infrastructure: My expertise extends to Terraform, a powerful tool for provisioning cloud infrastructure. I proficiently employ Terraform to create and manage infrastructure, ensuring scalability and operational efficiency.
  • CI/CD Pipeline Expertise - Streamlining Development Workflows: My accomplishments include the successful implementation of intricate CI/CD (Continuous Integration/Continuous Deployment) pipelines. I have adeptly utilized Gitlab, Jenkins, Docker, Kubernetes, and Helm charts to streamline development workflows, reducing deployment times and enhancing code quality.
  • Helm Chart Development - Simplifying Application Deployment: I am skilled in the development, packaging, and deployment of Helm charts, particularly for complex, production-grade applications. This proficiency extends to applications comprising 70+ microservices, simplifying and enhancing the deployment process.
  • Microservices Configuration - Optimizing Microservices Environments: My experience encompasses the meticulous configuration and installation of products within extensive microservices architectures. This includes setting up CI/CD pipelines on Kubernetes and Openshift, optimizing and ensuring the reliability of microservices-based applications.
  • Hadoop Cluster Management - Orchestrating Big Data Solutions: I have demonstrated my proficiency in Hadoop cluster management by effectively overseeing an 18-node cluster on AWS, consisting of 3 master nodes and 15 data nodes. This skill set enables the orchestration of big data solutions and analytics.
  • Automation with Ansible - Streamlining Complex Deployments: My capabilities extend to automating Hadoop cluster deployments with diverse configuration options using Ansible and the Cloudera API. This automation streamlines complex deployments, ensuring consistency and efficiency.
  • Python Automation with Jenkins - Enhancing Workflow Efficiency: I possess extensive experience in implementing Python-based automation through Jenkins pipelines. This expertise enhances workflow efficiency, reducing manual tasks and expediting development processes.
  • Legacy Script Conversion - Modernizing Administrative Processes: My strong expertise lies in the conversion of legacy shell scripts into Python scripts, resulting in enhanced efficiency, maintainability, and alignment with modern coding practices. This conversion facilitates streamlined administrative processes and supports future scalability.

As a Oracle & Postgres DBA

  • Oracle Database Migration Expertise: Proficiently migrated Oracle databases using a variety of techniques, including datapump and transportable tablespaces, ensuring seamless transitions.
  • Oracle Data Migration Tool Development: Developed a robust tool in Django-Python for Oracle data migration and performance monitoring, enhancing data management efficiency.
  • Self-Service Data Loading Tool: Created a user-friendly self-service tool in Django-Python for LVT/FVT data loading, streamlining data management for developers and testers.
  • Legacy Script Conversion: Successfully transformed a set of complex legacy Shell scripts, previously utilized for Oracle Database administration, into Python scripts for improved effectiveness and maintainability.
  • Oracle Architecture Understanding: Possess a comprehensive understanding of Oracle architecture and Data Dictionary, facilitating optimized database operations.
  • Comprehensive Database Management: Managed the entire database development lifecycle across all phases, including development (DEV), user acceptance testing (UAT), system testing (ST), pre-production (PET), and production (PROD), ensuring data integrity and reliability.

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