Building and maintaining a modernized Data Warehouse by expanding the current Hadoop cluster to accommodate increased volume of incoming Data using Python, Bash, AWS, Azure, Openstack, Shell Scripting, CI/CD, and Docker; Achieving automated deployment for custom applications on Cloud infrastructure; Creating, reviewing and testing the scripts with Chef and Puppet as a part of CI/CD pipeline; Working as Admin for building spaces over few personal profiles using Confluence stack; Attaining full-fledged automation on Test environments; Being responsible for a full Automation scripting over Live Applications under AWS/DigitalOcean platform; Provisioning cloud-based services in consultation with the Client’s Engineering wing; Contemplating to the project which mainly targets digital Therapeutics platform, excelling in achieving client goals in within no time; Working on UNIX shell scripts for business process and loading data from different interfaces to HDFS; Exporting the analyzed data to the relational databases using Sqoop for visualization and to generate reports for the BI team;

Support Team merged to Development team turning in to DevOps Engineer.Played a crucial role in migrating whole application (Database as well as Application Servers) to Managed Infrastructure Environment (Cloud Computing and AWS). This migration primarily is from existing Physical environment to a Virtual environment. Managed to Lift and shift 4 environments (including Test and DEV servers), which gave a full Hands-On opportunity over such huge activity. I was also considered to be a primary contact for further migration activities from client side to other applications as well.Started to involve in all the Code fix issues on LIVE environment and part of minor releases and fixes.Became a bridge between 2 different teams due to vast experience on Process# Taking responsibility in Deploying deliverables on Live for each release.# Providing PDT Support (Post Deployment Testing Support) once the recent deliverables are deployed on live.Building and configuring virtual data center in the Amazon Web Services cloud to support Enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables, Elastic Load Balancer using Python, Bash, AWS, Azure, Openstack, Shell Scripting, CI/CD, and Docker; Managing and improving the build infrastructure for global software development engineering teams including implementation of build scripts, continuous integration infrastructure and deployment tools; Leveraging AWS cloud services such as EC2, auto-scaling and VPC to build secure, highly scalable and flexible systems that handled expected and unexpected load bursts; Managing amazon redshift clusters such as launching the cluster and specifying the node type as well;

I was allocated to Support and Maintenance Project Stream after 6 months Entry level Training.Trained on Multiple streams lines which are essential to sustain to work under Support and Maintenance. Below are few of them :- ITIL (IT Infrastructure Library) Training- SLA Management- Incident Management- Problem Management- Change Management on various Tools- Simulations on High Priority issues- Client engagements for dealing Live IssuesPost Training on the above skill levels - I was opted by choice to enter into Operational Support Systems, which gave scope to further applications as well.Under OSS worked as a support group member for the below Projects :Primary Project : Provide IPSecondary Projects : Provide BB, VCM & PPRHands-on was taken from senior associates to work on multiple applications which gave more scope to build a confidence level in handling multiple Projects at a time.

Joined Tech Mahindra as a Technical Associate. As a fresher from college, undergone training on the below List for 6 Months : - C Language - UNIX - SQL - PL/SQL - Java Core - Advanced Java - J2EE - Programming Techniques - Basic Telecom - Behavioural Training

Design and Development of UI pages in CBMS application using CBMS custom framework, business objects, JDBC, JSP and JavaScript; Developing Java services using Java code, SQL queries, JDBC, Spring and Hibernate entities; Using to Eclipse for development, debugging and deployment of the code; and testing all the web services using Soap UI.