PUNEET JOSHI

• Member of Global Partner Solution COE Team working as Big Data Solution Architect.
• Enabling prospective partners to leverage the secured and scalable Cloudera Data Platform to solve challenging Big Data problems.
• Partner enablement by sharing compelling vision of the Cloudera Data Platform value proposition,technical capabilities and major differentiators.
• Helping prospective partners with On-boarding process and in setting up required Cloudera Data Platform set up for POC execution.
• Responsible for delivering hands-on technical workshops on Cloudera Data Platform offerings to enable prospective partners and strategic GSI's in implementing different Big Data uses cases.
• Providing technical support to IHV and ISV to get their products certified on Cloudera Data Platform both in Public and Private Cloud.
• Involved in technical discussions with key stakeholders from Partner organization to understand their current state and working closely to help them onboarded on Cloudera Data Platform.
• Involved in Solution Design and Sizing requirements based on requirements.
• Supporting partners in preparing RFP's for commercial opportunities.
• Helping strategic GSI's to implement specific use cases on Cloudera Data Platform.
• Helping Partners with best practices to setup Cloudera Data Platform PAAs offerings on all three major Public Clouds.(GCP,AWS,Azure).
• Enabling Partner Organization Technical team with automation scripts to reduce the overall setup and ongoing maintenance.
• Working closely with internal Product SME and Engineering team to identify the gaps in implementing Partner's technical requirements.
• Responsible for developing quarterly enablement calendar for delivering overview and hands on technical workshops on different offerings of Cloudera Data Platform.

• Key Result Areas:
• Directing technology planning and direction, strategy development, leadership and implementation, business and operational transformation execution and business solution delivery.
• Managed a team of 15 Data Engineers.
• Spearheading the entire operations including delivery excellence, innovation, productivity and process improvement
• Setting out quality standards for various operational areas, ensuring a high-quality customer experience while adhering to the SLAs and work processes
• Administering array of project operations such as planning & scheduling, resource allocation while providing technical direction and ensuring compliance with quality standards
• Maintaining optimal relations with internal & external stakeholders to provide support for various IT issues by keeping a close track on recent developments
• Reviewing all outstanding change requests, analyzing change records for determining any trends along with the closing of change requests and then producing regular management reports
• Ensuring the required infrastructure is in place for team members including physical, hardware & software requirements
• Attaining the targets without any escalations or complaints from clients; achieving the higher CSAT (Customer Satisfaction)
• DevOps & Cloud OPS lead from Pune; leading a team of 7 people to deliver the DevOps & maintain Cloud operations (Google Cloud).
• Responsible for maintaining the DevOps infrastructure over the cloud.
• Responsible for maintaining the GCP components like Compute Engine, GKE, GCS, BigQuery.
• Work as part of a team, to design and develop cloud data solutions.
• Writing Docker files to build custom docker image for application.
• Writing Ansible playbooks for deployment automation.
• Developed Dynamic Jenkins pipelines for automation using Groovy (Ansible) Scripts.
• Developed Jenkins Pipeline for automating Docker cluster maintenance tasks.
• Installation & Configuration of DevOps Tools like Jenkins, Docker, Ansible, and Kubernetes.
• Automation of daily Cloud operation/ Deployments using Python.
• Integration of CI/CD pipeline with Hashicorp Vault Project: Issuing Data.

• Siebel CRM application is the master application used for storing customer information. The application also have inbuilt order management module which tracks the orders placed by different Customers. 25 nodes Hadoop Cluster with eco-system components is used to perform storage & analysis of log files. Predictive analytics executed by using R.

Role:

As Big Data Administrator:

• Installation and configuration of HDFS, Hive, Spark, high availability for HDFS Masters
• Managed the Setting up Kerberos authentication for Hadoop, multiple flume agents
• Removed slave nodes for maintenance work like OS patching, OS upgrades; troubleshot Node's unavailability
• Cluster Monitoring; created user queues for capacity scheduling
• Importing and exporting the data using Sqoop from HDFS to Relational Database; set-up Apache Spark

As Siebel CRM Administrator:

• Managed a team of 6 Siebel Administrators in managing IT Performance Engineering, Software Configuration, and IT Solution Designing Application Architecture Domain
• Led the integration with other Enterprise Applications
• Reviewed and implemented architectural specifications based on Gap Analysis; coordinated with different cross-functional and technical teams for managing the Application Architectural activities
• Performing activities involving:
• TOGAF ADM iteration within Application Architecture Domain.
• Stakeholder Management, Requirement Gathering & Analysis for enhancements.
• Resource Capability Assessment
• Conducted performance tuning on Siebel servers, setting up of new custom Siebel components, profile configuration and so on
• Administered data set-up such as EIM / Web Service / LOV / Data Map / organization and so on
• Performed SRF, repository migration and DDL synchronization between different environments
• Managed installations / un installations Siebel architecture web/Gateway/App server/components and setting-up Siebel tools for mobile/dedicated client
• Migrated repository &smoke testing, environment tuning also coordinated with multiple team for analyzing and troubleshooting Siebel server component issues

Siebel CRM, Middleware, and Siebel UCM applications were deployed under OSS stack to support both internal & external customers of COLT. Siebel CRM application was used by 2700 concurrent users from different countries. The communication module in Siebel enables organizations to send emails/notifications to customers about the new products, services & other important information related with customer's account. To get more insights, in real time, on usage , response time of different components/layers of application, failed login attempts, attempt of unauthorized access . As soon as the relevant data was generated it was made available for analysis. 20 node Hadoop cluster is deployed to perform analysis. Roles & Responsibilities:

• Installation and configuration of HDFS, Hive, Sqoop, Zookeeper, Map-Reduce
• High availability of Hadoop Masters.
• Removing slave nodes for maintenance work like OS patching, OS upgrades.
• Troubleshooting Node's unavailability.
• Data Export from RDBMS to HDFS Using SQOOP.
• Identifying & resolving replication, missing block scenarios.
• Setting up multiple flume agents.
• Cluster Monitoring.
• Application resource Monitoring.
• POC's for future Requirements & Enhancements