Bharanidharan Muthukumar
Cloud Architect
Dusseldorf
Summary
Experienced Data Platform Architect with a proven track record of designing and implementing robust data ecosystems to support data-driven decision-making. Seeking opportunities to leverage expertise in data architecture, infrastructure design, and cloud technologies to drive innovation and efficiency in data management.
Overview
12
12
years of professional experience
7
7
years of post-secondary education
6
6
Certifications
Work History
Cloud Applications / Infra Architect
NORTH AMERICA ANALYTICS PLATFORM
- Architecture & implementation of Enterprise Conversational AI agents using Azure Kubernetes services, Cognitive services, Terraform and Azure DevOps
- Infrastructure automation using Terraform, Pulumi
- DevOps pipelines for packaging, deploying .net and Typescript based microservices and to train and deploy azure cognitive services, development of Helm charts for deployment of microservices in Kubernetes
- Implementation of alerting mechanism to monitor microservices and alert users over teams on consumption of memory / CPU by microservices deployed in Kubernetes clusters leveraging Prometheus, Function app, Event Hub
- Establish secured connection to multiple external data sources from Kubernetes (ServiceNow, on-premise apps, Meeting room information, Active directory)
- Key achievements:
- Speeded up creation of bots creating reference architecture and base solution repository for various requirements across enterprise
- Performance & cost optimization moving VM hosted services into Kubernetes
- Acknowledged by product owner for implementing real-time alerting system to notify product owner if any services are down or if any services reach maximum memory or CPU usage
- ESTABLISHED AND IMPLEMENTED GitOps process leveraging Helm charts helping cloud engineers to scale-up development and deployment time
- US division of major chemical manufacturing company in Germany)
Cloud Platform Architect
- Designing and building scalable and efficient data platforms that can handle large volumes of data and support real-time processing and analytics
- Defining architecture & implementation of multiple data integration topics (Batch, real-time, on-premise based ingestion, Mobile apps backed with microservices and data ingested from external systems)
- Re-architecture of legacy workloads transforming it to Cloud based data pipelines leveraging Azure services (Event Hub, Cosmos DB, App services, Messaging services), Snowflake cloud warehouse, Talend
- Ensuring high availability, security, and performance of the data platform infrastructure
- Key achievements:
- Establishing data as a service and data monetization process for departments across enterprise to exchange data
- Designed a near-real time data pipeline to increase traders to get a view of their trading position retrieving data from ETRM systems, replacing a legacy system which took more than a day
- Acknowledgement from client’s VP for successful GO-LIVE of microservices backed Mobile app hosted on Azure web apps
- Created a custom web app to access grant permissions to data assets across various data stores (Azure SQL server, Azure SQL Datawarehouse, Snowflake cloud warehouse) to enable data governance by data platform team
- Designed a near real-time refreshing dashboard in Tableau for monitoring access grants to database, data warehouse and to cloud services.
Cloud Data Platform Architect
Avanade
Dusseldorf, NRW
2020.01 - Current
- Solutioning, design, architecture & implementation of data engineering topics across business units for consuming data from external sources like Facebook Ads, Google Ads, Adobe analytics, distributors sales data
- Implementation of medallion architecture-based data platform leveraging Databricks Unity catalogue
- Participate in requirements gathering with business users along with product owners to translate business requirements into technical solution
- Azure landing zone definition encompassing security (network isolation & access control)
- End-to-end DevOps encompassing infrastructure automation using Terraform and deployment of data pipelines
- Lead and help team of data engineers, BI developers, data scientists, DevOps engineers
- Key achievements
- Successfully designed and implemented a data engineering solution to automate decade old, complex indirect sales data process by consolidating files ingested by 90+ distributors in different file formats and structure
- Helped business to save 2 FTE time spent in secondary sales data transformation process and increased accuracy of data by 15
- Established efficient data sharing of this sales data to multiple external apps in secured way
- Helped data scientists to create models based on this sales data to derive product recommendations and implemented MLOPS to automate, train and re-train models leveraging Databricks
- Appreciated by client’s Cloud Infra team for well-detailed technical architecture representation and it was considered as base template for similar topics across organization
- CONVERSATIONAL AI ENGINE (For major automobile manufacturing company in Germany) :
- Solutioning, design, architecture & implementation of data engineering topics across business units for consuming data from various e-commerce sites like Amazon, Walmart, Target leveraging 3rd party aggregators
- Detailed technical architecture and Azure landing zone definition to get approval from client’s cloud infrastructure and digital security team to get subscriptions, resource groups created per environment
- Lead and help team of data engineers, BI developers, data scientists
- Key achievements:
- Major contribution in taking data pipelines from sandbox subscription to production-grade subscription establishing detailed technical architecture covering all aspects of network security, access control etc
- Key contribution in ideation and establishing of corporate data lake and custom portal for working with files in data lake leveraging Azure data lake storage
- Created multiple reusable artifacts, utilities to overcome earlier limitations of Azure data factory
- Created awareness about Cloud, data lake, data sharing for all stakeholders in program by mentoring and knowledge sharing
- Migrated JIRA work items to Azure DevOps converting into Epics, features and product backlogs leveraging open-source utility
CLOUD ARCHITECT
AVANADE DEUTSCHLAND GMBH
Dusseldorf
2020.01 - Current
- About Avanade: Leading provider of innovative digital and cloud services, business solutions on Microsoft ecosystem, part of Accenture Microsoft Business Group
- CONSUMER AND CUSTOMER INTELLIGENCE PLATFORM (For major chemical manufacturing company in Germany)
CLOUD ARCHITECT
INFOSYS TECHNOLOGIES LIMITED
Dusseldorf, NRW
2011.10 - 2020.01
- About Infosys: Infosys is an Indian multinational information technology company that provides business consulting, information technology and outsourcing services, headquartered in Bangalore, PROJECT HIGHLIGHTS
- DATA ANALYTICS PLATFORM (For an energy manufacturing and trading company in Germany)
Education
MASTER OF COMPUTER APPLICATIONS -
ST JOSEPHS COLLEGE OF ARTS SCIENCE
Tamilnadu, India 2001.08 - 2005.08
Bachelor of Science - COMPUTER TECHNOLOGY
KONGU ENGINEERING COLLEGE
Tamilnadu, India 1999.06 - 2002.06
Skills
Azure Data Services
Azure App Services
Azure AI Services
Cloud Native Technologies (Kubernetes)
Azure DevOps & Pipelines
Terraform
Data platform design
Data Integration
Cloud adoption framework
Azure Application Infrastructure
Certification
DATABRICKS CERTIFIED DATA ENGINEERING PROFESSIONAL
Timeline
DATABRICKS CERTIFIED DATA ENGINEERING PROFESSIONAL
2023-09
HashiCorp Certified: Terraform Associate
2022-12
KCNA: Kubernetes and Cloud Native Associate
2022-04
Cloud Data Platform Architect
Avanade
2020.01 - Current
CLOUD ARCHITECT
AVANADE DEUTSCHLAND GMBH
2020.01 - Current
Microsoft Certified: DevOps Engineer Expert
2019-12
Microsoft Certified: Azure Data Engineer Associate
2019-05
Microsoft Certified: Azure Solutions Architect Expert
2019-05
CLOUD ARCHITECT
INFOSYS TECHNOLOGIES LIMITED
2011.10 - 2020.01
MASTER OF COMPUTER APPLICATIONS -
ST JOSEPHS COLLEGE OF ARTS SCIENCE
2001.08 - 2005.08
Bachelor of Science - COMPUTER TECHNOLOGY
KONGU ENGINEERING COLLEGE
1999.06 - 2002.06
Cloud Applications / Infra Architect
NORTH AMERICA ANALYTICS PLATFORM