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Cloud DevOps and Engineer with over 9 years of experience in developing purpose-built solutions. Diligent DevOps Engineer with robust background in Azure engineering and demonstrated success in optimizing cloud infrastructure. Extensive background with implementing new systems and updating existing databases. Over 8 years of experience working as an Azure Cloud & DevOps Engineer for automation of enterprise applications to achieve continuous integration (CI) and continuous deployment (CD). Experience working in all phases of the Software Development Life Cycle (SDLC). Google Cloud platform using services such as compute, AZURE, App Engine, Identity security, Cloud Storage, Kubernetes engines, databases, networking, Google Kubernetes Engine (GKE), AWS Infrastructure management using AWS CloudFormation, Chef, Jenkin Linux/Host/Service/cloud monitoring apps Automating Performance Test/ Deployments using Bash/Python/Ruby, AWS Services (EC2, CFT, S3, SNS, ELB, CloudWatch, VPC, Auto scaling) Write automation scripts in Bash and Python for performance monitoring, performance tuning, notifications, pro-active monitoring etc. Experience in configuring environments and deploying applications using Configuration Management Tools Chef and Puppet. Experience with Stackdriver Monitoring & Logging, Splunk, Nagios for Resource Monitoring & Log tracing. Designed and implemented CI/CD DevOps delivery system for the Linux teams, with an innovative test framework that allowed for significant reduction of capital expense requirements through equipment allocation and reuse. Handled several Docker components like Docker Engine, Hub, Machine, Compose, Registry, Swarm and experienced with Docker container service, dockerized applications and microservices by creating Docker images from Dockerfile and running them to create the Docker containers and Docker consoles for managing the application life cycle.

A dynamic professional with 8+ Years of experience multiple technical teams, architects, managers and business users, reviewed and documented workloads, system dependencies and business requirements. Mapped workloads to the capabilities of Microsoft Azure for public, private and hybrid clouds and currently working in DevOps environment. Expertise in Build and Deployment of CI/CD pipelines, managing projects often includes tracking multiple deployments across multiple pipeline stages (Dev, Test/QA staging and production). Experience in Azure App services and Containers. Deployed and managed applications running on Kubernetes. Set up and managed Docker containers, running Go and PHP applications, for deployment into Kubernetes Pods. Experience in Azure Container Registry. Working experience in Git, GitHub, Docker, Azure Repos, TFS. Administration of Azure VMs, Docker containers, IIS, WebSphere, Tomcat & Apache servers. Installation and Configuration of WebSphere Application Server, IHS, IIS, Apache Web Server on Windows Platforms. Good understanding of ITIL processes. Skilled to work within environment of Change Request, Incident management, building the environment and prioritizing solutions for the business continuity as per the ITIL process. Experience in Automation, Installation, configuration. Troubleshooting of Red hat Linux, Ubuntu and Windows platforms and in DevOps tools like GIT, Docker, MS Build, Maven, CICD and Azure cloud. Troubleshoot any application issues raised by DEV & QA Team Responsible to make sure that application is always up & running. Strong exposure in working with Network Deployment Package. Strong exposure in configuring databases like Oracle and DB2. Involved in setting up a clustered environment like Vertical Cluster and Horizontal Cluster. An effective communicator with excellent relationship building and interpersonal skills. Strong analytical, problem solving and organizational abilities. Strong communication and people skills, both written and verbal.

Having 3 Years of experience in Network Security Engineering


  Maintaining and administering computer networks and related computing environments including systems software, applications software, hardware, and configurations.
  Performing disaster recovery operations and data backups when required.
  Protecting data, software, and hardware by coordinating, planning, and implementing network security measures.
  Troubleshooting, diagnosing, and resolving hardware, software, and other network and system problems.
  Replacing faulty network hardware components when required.
  Maintaining, configuring, and monitoring virus protection software and email applications.
  Monitoring network performance to determine if adjustments need to be made.
  Conferring with network users about solving existing system problems.
  Operating master consoles to monitor the performance of networks and computer systems.
  Coordinating computer network access and use.
  Designing, configuring, and testing networking software, computer hardware, and operating system software


Experienced IT professional with expertise in cloud migration and automation, particularly focused on Azure services. Skilled in designing, planning, and executing migrations to Azure Cloud using ARM. Proficient in Docker, Kubernetes, CI/CD pipelines, and integrating cloud services for comprehensive data processing and analytics. Strong background in AWS Redshift, Puppet, and Jenkins for system automation and continuous integration. Highly proficient in various programming languages and environment.The project involved designing and implementing a scalable and cost-effective architecture in AWS Big Data services, covering the entire data lifecycle from collection to visualization. This included creating end-to-end data pipelines using Big Data tools like Spark and Tableau for visualization, ensuring application functionality through maintenance and testing, and leveraging Spark features for efficient data preprocessing with minimal latency. Real-time solutions for Money Movement and transactional data were implemented using Kafka, Spark Streaming, and HBase, alongside a variety of other tools and languages such as Sqoop, Scala, Python, and Oozie. The work also encompassed optimizing performance, handling large datasets, and conducting code reviews and bug fixes to enhance overall system efficiency.The environment included a range of AWS services like EMR, EC2, S3, as well as various data processing tools like DynamoDB, Kafka, and Spark. Additionally, configuration management tools like BitBucket/Github and Bamboo were utilized for Continuous Integration and Continuous Deployment (CI/CD), ensuring smooth development, testing, and deployment processes. Splunk dashboards were employed for logging and monitoring, while unit test cases were written for Spark code to maintain code quality throughout the CI/CD pipeline. Overall, the project demonstrated a comprehensive understanding and utilization of Big Data technologies within an AWS environment to address complex data processing requirements.The individual possesses extensive experience in professional software engineering practices, encompassing the full software development life cycle. This includes adherence to coding standards, conducting code reviews, proficiently managing source control, and implementing robust build processes. They have demonstrated expertise in analyzing Hadoop clusters and utilizing various big data analytic tools such as Map Reduce and Hive. Notably, they have developed multiple MapReduce programs for extracting, transforming, and aggregating data from diverse file formats, including XML, JSON, CSV, and compressed files. Additionally, they have worked with Teradata parallel transport (TPT) for loading data, written Teradata Macros, and executed migration projects from Oracle/DB2 to Teradata.Furthermore, they have extensive involvement in Big Data Hadoop cluster implementation within the Business Intelligence (BI) team, focusing on data integration and large-scale system software development. Their responsibilities span from source system analysis and data modeling to ETL processes, handling both structured and unstructured data efficiently. They have a strong command of tools such as Sqoop for data import/export, Flume for data ingestion into HDFS, and the ELK stack for implementing logging frameworks on AWS. Additionally, they have developed Pig UDFs, worked on Java Rest API for CRUD operations on HBase data, and utilized Hive queries for data analysis on HBase tables. Their proficiency extends to shell scripting for scheduling data cleansing and ETL loading processes, and they actively support QA engineers in testing and troubleshooting activities.The role involved analyzing system requirements and collaborating with analysts and users. Throughout the project lifecycle, emphasis was placed on documentation, unit testing, and prioritizing development tasks. Web development primarily utilized Struts, JSP, XML, JavaScript, HTML/CSS, and AJAX. Significant contributions included designing JSP pages, developing Servlets, and integrating Spring IOC and Hibernate.Challenges were promptly addressed to enhance project outcomes, with a focus on optimizing application performance through exception handling and multi-threading. The implementation of next-generation systems leveraged technologies such as SOA, SOAP, and XSL, with SOAP protocol enabling external system interaction. Version control was managed using CVS, and project building and unit testing were facilitated by ANT scripts and JUnit.Database development involved SQL and PL/SQL, supporting various testing phases, including system, product, user acceptance, data conversion, and load testing. The technology environment encompassed Java 1.5, J2EE, RUP, Eclipse 3.1, JavaScript, JQuery, Log4J, DB2, WebSphere Server, UNIX, and IBM WebSphere Portal Server.

Pooja S Gadachi

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Azure DevOps

Application Packager

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Bachelor of Engineering - Electronics And Communications Engineering

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Azure DevOps

Application Packager

Bachelor of Engineering - Electronics And Communications Engineering

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