viknesh koodalingam

-Strategized an end-to-end, AI-in-the-loop One Data platform spanning business intake, data governance, engineering, deployment, operations, and analytics, with human review at key decision points. -Shaped an AI strategy for global platform knowledge management, defining reporting capabilities that consolidate capacity and data-integration metrics to help users find relevant platform information. -Translated incident analysis into incident-management improvements, including clearer prioritization and ro

Strategized an end-to-end, AI-in-the-loop One Data platform spanning business intake, data governance, engineering, deployment, operations, and analytics, with human review at key decision points. Shaped an AI strategy for global platform knowledge management, defining reporting capabilities that consolidate capacity and data-integration metrics to help users find relevant platform information. Translated incident analysis into incident-management improvements, including clearer prioritization and routing

-Accountable for solutioning a global data platform to accelerate data analytics and unify data products across ten regions. -Collaborated with the Global Infrastructure Team and delivered the organization’s Digital Application Strategy. -Collaborated strategically with Microsoft and Databricks and delivered features including Unity Catalog, Vector Search, Online Tables, and Lakebase Postgres. -Designed 15+ analytics applications involving services including OpenAI and Azure Cognitive Services. -Design

Accountable for solutioning a global data platform to accelerate data analytics and unify data products across ten regions. Collaborated with the Global Infrastructure Team and delivered the organization's Digital Application Strategy. Collaborated strategically with Microsoft and Databricks and delivered features including Unity Catalog, Vector Search, Online Tables, and Lakebase Postgres. Designed 15+ analytics applications involving services including OpenAI and Azure Cognitive Services. Designed dat

 Was the architect behind winning Project worth GBP 2.5 million (+) in UK, DACH and Nordics  Implemented GDPR governed GreenField Project in Azure DataLake using ADF v2, Databricks Analytic (Azure ML), Self-Serve Reporting Platform (QlikSense) and Azure DWH with a 30-member team and have vast experience in estimation methodologies, risk management, cost optimization and end to end Implementation  Created an Inhouse GDPR solution with data retention capabilities, which pseudonymize the data before onboar

 Real Time Log Aggregation with Kinesis and Firehose with the querying layer in Athena and Elastic Search  Serverless ETL environment through GLUE for DataTransformation Frameworks  Paxata Automation through apis for self serviced Data preparation framework  Enable Federated Querying Environment for Enterprise Clinical Data  Serverless event driven architectures through Lambda and Codebuild  Ingestion of Raw data through Sqoop onto S3 buckets from various input sources like customer FTP location, on p

 Migrating PLSQL ETL modules from Oracle Exadata to Hadoop CDH Cluster using Hive,Impala and HBase  Implemented custom Workflow manager to parallelize datapipeline to make efficient use of cluster to meet Production Benchmarks  Thorough evaluation of tools on Spark, Hive, Impala and MapReduce on the clients use case and identified the implementation Strategy  Evaluated Big Data capability of Pentaho, Talend and Informatica

 Accountable for all aspects of mPortal’s cloud strategy, architecting solutions for customer deployments at Amazon AWS  Setup Hadoop Clusters and developed efficient and effective MapReduce applications for Log Analysis, App Analytics and Reporting using Hive and Pig  RDS migration in Cloud and Designed Fault Tolerant Disaster Recovery Solution  Setup Application monitoring through AppDynamics, Xymon and Unix Scripts  Leveraged open source products, like OpenLDAP, Ossec and other SaaS products like Yl

Worked on Business Intelligence Projects - Data Integration, Datawarehousing. Pentaho for reporting,Kettle,Shell Scripting

 Developed Applications in Core Java and Shell scripts for handling xref Fixing for Vodafone Australia  Developed in Tibco and IBM Websphere components to integrate data from various enterprise applications including Siebel based on XML, SOAP, Web services, and service-oriented architecture.

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