Bhanu Chunduri
Berkshire
Summary
Azure Cloud certified Devops & data ops engineer, working on Cloud building and operationalizing large scale enterprise solutions, Data Lakes and applications
Overview
8
8
years of professional experience
3
3
Certifications
Work History
Devops Cloud Data Engineer Azure
End Client UK Public Sector (DWP, MoJ, MoD)
12.2020 - Current
- Design and implement data storage and data processing using Azure data factory ADF pipelines
- Implementing and optimising data pipelines to connect operational systems and data for analytics and BI systems within Azure
- Strong, in-depth hands-on experience with Microsoft Azure in building, deploying and automation, along with networking and security components in Azure cloud environments
- Conducted complex data mapping and built scalable Azure data pipelines to ensure data integrity and efficient processing
- Engaged with stakeholders to gather requirements, communicate progress, and ensure alignment with business objectives
- Built Azure Synapse Analytics platform to build data warehousing, to facilitates multiple tenants to ingest and transform data
- Technical Proficiency In-depth knowledge of SQL, Python scripting, and Azure Platform Systems, including SQLMI
- Skilled in troubleshooting data conversion issues and optimizing performance during database transitions
- Delivered end to end data data clusters on Azure Cloud platform using ADO ( Azure DevOps)
- Expertly managed and deployed VMware Cloud Foundation (VCF) for scalable and secure cloud infrastructure
- Implemented VCF to streamline operations, enhance data center efficiency, and support multi-cloud environments
- Proficient knowledge on multiple Azure services Azure Storage account, Azure SQL, AD
- Delivered Azure Infrastructure as a code using templates, built pipelines in azure Platform
- Built AKS (Azure Kubernetes Service), Azure pipelines (CI/CD) deployment and deploying using TF
- Environment Management Services supporting atalassain tools and CI CD procedures
- Deployed various Azure networking services WAF(firewall) policies, Vnet Peering and Virtual networks (vnets)
- Design and deployment of OpenText NetIQ products identity manager, designer, & Netiq analyser
- Built and maintained scalable data pipelines using Azure Data Factory, Databricks, and Synapse to ingest, transform, and store data
- Designed and implemented data modeling best practices to optimize data storage and retrieval
- Migrated Hadoop Cloudera clusters from Physical to Cloud platform
- Terraform to manage infrastructure as code and implement CI/CD pipelines using Jenkins Implemented security measures such as PKI, IAM, and PAM to ensure secure access to data
- Designed and implemented infrastructure as code using Terraform to manage and maintain cloud infrastructure on Azure
- Built and maintained CI/CD pipelines using Jenkins for automated software deployment
- Worked closely with development teams to ensure successful software delivery also senior stakeholders to explain complex data concepts in business-friendly terms
- Expertise with Kubernetes, including installing on VMs, and strong skills in Bash, Python, or Ruby for scripting and automation
- Extensive experience with Terraform and Ansible for infrastructure management and configuration
- Familiarity with Postgres and Apache Kafka enhances the ability to manage and process data efficiently.
Cloud & Devops Platform Engineer
RBS / NatWest
07.2017 - 12.2020
- Expert level knowledge on Azure Data Factory & DataBricks, Azure DataLake Store
- Azure Data Factory, ACF Hive, Spark, Kafka, HBase Excellent and recent experience developing data pipelines in Python and PySpark, YAML
- Deployed Azure data platforms Databricks and data lake, data factory & HDInsight
- Strong knowledge on Kubernetes, Docker, Puppet, Ansible, Terraform, CI/CD and github
- Hand on experience with performance tuning and troubleshooting cloud environment
- Architected cloud-based data platforms using a wide range of the Azure Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Data Factory and Azure Blob storage
- Architected, designed and setup a full streamsets kafka cluster for a project, which involves data ingestion, transfer including ETL
- Part of Environment management services team who overseen
- Designing, building, and maintaining software testing environments
- Hands on experience implementing Big Data solutions using Azure Data Platform and knowledge of Powershell, using ARM templated, Iaac, Paas tools/services
- Good knowledge and experience migrating legacy applications into the Cloud using Microsoft Azure
- Worked with Azure Devops Automated and deployed Big data clusters using rest API
- Exposure to BI, ETL tools and AI linked to Azure
- Good knowledge of data warehousing and data modelling tools.
Devops Data Engineer
Lloyds Banking Group
01.2017 - 06.2017
- End to end support to existing Production Hortonworks HDP 2.3 - 2.5 Infra in Data Lake team
- Upgrading HDP clusters from 2.3 to 2.5 & Ambari from 2.2 to 2.4
- Design, Build, Implementation, end to end support of (4 x 20) node Production and DR clusters
- Good understanding of all eco systems HDFS, Hbase, Hive, Kafka, Spark, Solr, Ranger
- Extensive knowledge of Hadoop eco systems and integration of LDAP/Kerberos, AD and SSL
- Configuring alerting and monitoring several Hadoop eco-systems and processes, integrate with Tivoli
- Assisting Hadoop developers with ingestion, extraction and enrichment of data lake estate.
Hadoop Big Data & Azure Cloud Consultant
RBS (Royal Bank Of Scotland)
03.2016 - 12.2016
- Installation, configuration and end to end Support and Administration of Cloudera CDH (5.12) Clusters in Production
- Designed and deployed core Hadoop eco systems like HDFS, YARN, Impala, Hive, HDFS, Map Reduce, Apache Pig, Sqoop, and Oozie
- Part of Hadoop production support team, implementing bug fixes and major production upgrades
- Designed deployed high availability solutions for avoided SPOF for key big data components
- Mentored Global teams for knowledge transfer of BAU tasks including morning checks assisted with on-boarding of users onto the Data lake platform.
Skills
5 years’ experience working on multi cloud environments, Azure cloud infrastructure services mainly focused on Azure along with strong Devops background
Cloud, containers and micro-services experience with Infrastructure as code IaC tools Kubernetes, Docker automating infrastructure deployment using Cloud Formation, Terraform, Ansible, Puppet
Provided solutions into Azure Cloud and implementation and support for scaling applications and products like Azure API management and ARM
Strong infrastructure as code knowledge and experience with Configuration Management tools Ansible, Chef, Puppet, Terraform Scripting:- Python,shell,json,xml,YAML, java
Expert level knowledge in Microsoft Azure Cloud environments (PaaS & IaaS), MS Server OS, MS SQL Server, PowerShell, IIS and major Linux OS platforms
Delivered migration projects using ETL Tools to transform data on to a cloud data platforms using Azure data factory ADF
Designed and implemented robust systems using Azure services, including Azure Synapse and Data Factory, for large-scale data processing
Hands on deployment orchestration and configuration management tools (Jenkins, Chef, Puppet, Terraform, Kubernetes) and data formats json, xml
Strong knowledge on Kubernetes, AKS, Docker, Puppet, Ansible, Terraform, CI/CD and github, Jenkin, Dynatrace, Barracuda WAF, Hashicorp Vault, Azure AD, Zabbix, Artifactory, Jenkins, github, Gerrit
Collaborated with Engineering teams to ensure robust, efficient automated build and deployment
Build robust data flows that are fit for purpose and provided automated solutions wherever applicable
Worked on various IT domains like Tier1 Banks, Consulting, PCI-DSS Payments, Technology, Telecommunications, Investment Banks & Financial Services, Low Latency sectors
Expertise on Service Azure Kubernetes Service, Azure Storage Accounts, Application Gateways, Azure Firewall, Key Vaults, and end to end Hadoop/big data eco system hdfs,sqoop,hive,hue,spark so on
Involved in data centre migration with proven technical Project and design experience for Linux & Hadoop on Cloud ITIL Certified and have good knowledge of ITSM and SLA,RFC & Operations Management
Good working knowledge of Azure Cosmos DB, Azure Functions Security implementation: PKI, IAM, PAM, Encryption, Cloud Security, Governance and Security Policies, Docker and Kubernetes(K8s)
DevOps principles & automation tools, infrastructure-as-code HashiCorp Terraform, Jenkins, Ansible Remedy, Jira, Confluence, Service now Agile Devops principles (Scrum, Kanban, Jira, Confluence)
Designed and developed robust systems to process and store large scale data using Azure
Demonstrated hands on experience implementing Big Data solutions using Azure Data Platform and knowledge of Powershell, using ARM templated ,Iaac,Paas tools/services
Azure services: Databricks, Data Factory, Synapse, Azure AD, IAM, PAM, and K8s
Database Migration Expertise, Extensive experience using SSMA and ADF for complex DB2 migrations from mainframe systems to Azure SQL Managed Instance (SQLMI) Proficient in migrating IDMS database systems to Azure SQLMI, ensuring data integrity and minimal downtime
Advanced Analytics and AI Skills Experienced in leveraging Azure AI and Machine Learning for data science projects, including model development and deployment Proficient in utilizing Azure OpenAI and Azure AI Search to enhance data-driven decision-making and information retrieval capabilities
Programming languages: Python, Spark, SQL Tools: Terraform, Jenkins, SSIS
Data processing, transformation, and storage and proficiency in Networking switches and VLAN
Certification
Microsoft Certified Azure Data Engineer Associate (DP-200, DP201)
Accomplishments
Delivered various Projects involving servers and data center migrations to cloud on time. Excellent Customer facing skills along with expertise in Technical Project Support & Management. Provided high level of service delivery leading to increased customer satisfaction
Clearance
Active, SC, 03/2026
Baselinechecks
Completed successfully with Disclosure Scotland & CRB Checks
Personal Information
- Citizenship: British Citizen
- Driving License: Hold Full and clean UK driving License
Education
High School Diploma -
Timeline
Devops Cloud Data Engineer Azure - End Client UK Public Sector (DWP, MoJ, MoD)
12.2020 - Current
Cloud & Devops Platform Engineer - RBS / NatWest
07.2017 - 12.2020
Devops Data Engineer - Lloyds Banking Group
01.2017 - 06.2017
Hadoop Big Data & Azure Cloud Consultant - RBS (Royal Bank Of Scotland)
03.2016 - 12.2016
Bachelors in Computer Science - High School Diploma,