Yatin Kulkarni
Chief Architect, Uk & i Spe Delivery Leadership @Cognizant
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WORK HISTORY
Chief Architect, Uk & i Spe Delivery Leadership @Cognizant
London, GB
As a member of the UK & I Delivery Leadership Team for the Software & Platforms Engineering service line at Cognizant, I am primarily responsible for demonstrating Thought Leadership in emerging technologies and helping to identify/ propose new trends as well as proving Technical Governance to ensure successful program delivery.
EDUCATION
University of Cambridge
Judge Business School - Senior Executive Education
Veermata Jijabai Technological Institute (VJTI)
BE
Michigan State University
MS
ABOUT YATIN KULKARNI
Over 30 years of global and cross-cultural experience in Strategic Consulting, Enterprise/Solution/Product Architecture, Portfolio/Program/Delivery Management, and Implementation in IT Products and Services.* Hands on experience in Web/Mobile Product Development and Enterprise Application Integration Projects in various industry verticals such as Banking & Financial Services (FinTech), Life Sciences (Pharmaceuticals and Healthcare), Publishing, e-Commerce, Advertising and Marketing, Telecom, Map Data Management, Petrochemicals, Third-Party Logistics, Food Retail and Insurance.* Certified coach experienced in promoting adoption of Agile and Lean practices in software development and implementing transformation strategies across the enterprise to help improve business and organisational agility.Technical Expertise* Experience in using cloud native AI platforms such as Azure AI and AWS Bedrock.* Extensive experience in Web/Mobile Application development using Java/ Spring.Net/C#, Isomorphic JavaScript/ Typescript, Scala, Python, iOS/ Swift, Android, and Cross-Platform frameworks (Flutter/ Xamarin).* Extensive experience in Google Cloud Platform, Azure, and AWS for implementing cloud security (identity management/ key management) to ensure compliance and governance.* Implementing Cloud Native solutions using event driven/ sourcing microservices architecture (RMI/ gRPC/ RESTful/ GraphQL) and patterns such as service meshes, and circuit breakers deployed using Kubernetes clusters and/ or PaaS technologies such as Azure Functions, AWS Lambdas, and Google Cloud Functions.* Advocating the use of Digital Engineering practices implemented using DevSecOps technologies such as Azure DevOps/ GitHub/ Jenkins/ BitBucket/ Terraform/ AWS CodeX/ SonarQube/ Nexus IQ/ Aqua Scan.* Designing and implementing relational datastores on Oracle, MS SQL Server, MySQL and NoSQL/Graph/Container data stores such as MarkLogic, MongoDB, FireStore, Cosmos DB, Neo4J, Cassandra, Azure Data Lake and enabling streaming data ingestion using queueing technologies such as Kafka/ AWS Kinesis/ Azure EventHub/ Google Pub/Sub.* Experience in Big Data Analytics solution implementation using AWS (Kinesis, Glue, EMR, RedShift)/ QuickSight and Azure (ADF, ADB, and ADLA)/ PowerBI and Google (Cloud Storage/ BigQuery).* Experience in use of machine learning frameworks based on statistical modelling techniques such as Conditional Random Fields and Markov Chains and classifiers such as the Naïve Bayes, Neural Networks, k-Nearest Neighbor, and Decision Trees.
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