Gayathri Thiyagarajan Email & Phone Number | I am a highly experienced Engineering Leader leading high performant engineering teams, shaping product technical strategy, driving highly scalable, robust architecture and implementation. A thought leader in areas such as Data and AI, Streaming, Microservices, Event Driven architecture, Domain Driven Design, I have lead multiple teams from setting technical vision through to successful delivery. I am an experienced public speaker having spoken in many global conferences and meetups. I am an established author having published a field story in a LeanPub book on Visual Collaboration Tools and several notable engineering blog spaces. Key Competencies : 1. Shape product technical strategy and vision by promoting platform capabilities and transformation 2. Recommend and organise teams for high throughput, collaboration and performance by drawing from (Reverse) Conway's Law, DDD strategic team patterns and Team Topologies 3. Lead multiple engineering pods (upto 4) and support engineers' (upto 15) in their career development and performance goals 4. Early talent diversity advocate 5. Apply DDD in complex, enterprise level providing strategies for design and development approaches and best practices for organising high performant teams; 6. Building stakeholder relationship and engaging in discussions with technical and non-technical groups from Product, Engineering to Executive Leadership CxOs 7. Facilitate workshops for business process modelling using Domain Driven Design techniques 8. Experienced Agile practitioner & advocate of best practices Key Technology Areas Big Data Technologies - Apache Flink, Apache Avro, Apache Kafka, Hive Metastore, Apache AirFlow, Qubole, Apache Spark Cloud - AWS Cloud based deployments on EC2, EBS, Kinesis, Firehose, EMR, S3, trained AWS Solution Architect building Cloud Native applications DevOps - CI/CD Pipeline, Infrastructure as code using Terraform, Docker, Kubernetes, Jenkins, Bamboo, Maven, Gradle AI/ML - Engineering Forecasting, Anomaly Detection platform for EG Operational Excellence, knowledge and understanding of some of the cutting-edge technologies such as IoT, ChatBots Certified on Machine Learning and Deep Learning (Neural Networks, CNNs, RNNs) from deeplearning.ai (Certifications) from Stanford University Proficient in Java, knowledged in Scala, Kotlin, Python, Javascript

Gayathri Thiyagarajan

I am a highly experienced Engineering Leader leading high performant engineering teams, shaping prod...
United Kingdom

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Gayathri Thiyagarajan’s Email gthiyagarajan@amazon.com

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Gayathri Thiyagarajan’s Location United Kingdom

Gayathri Thiyagarajan’s Current Industry Amazon Web Services

Gayathri Thiyagarajan’s Prior Industry Expedia | Capgemini | Deltion | Cognizant Technology Solutions

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Work Experience

Amazon Web Services

Engineering Leader

2022-11-01 00:00:00 - Present

Expedia

Engineering Leader

2020-09-01 00:00:00 - 2022-11-01 00:00:00

Capgemini

Senior Open Source Cloud Engineer

2017-06-01 00:00:00 - 2018-11-01 00:00:00

Deltion

Senior Developer

2007-09-01 00:00:00 - 2011-08-01 00:00:00

Cognizant Technology Solutions

Associate

2005-06-01 00:00:00 - 2007-08-01 00:00:00

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FAQ About Gayathri Thiyagarajan

Gayathri Thiyagarajan is located at
United Kingdom

Gayathri Thiyagarajan is a I am a highly experienced Engineering Leader leading high performant engineering teams, shaping product technical strategy, driving highly scalable, robust architecture and implementation. A thought leader in areas such as Data and AI, Streaming, Microservices, Event Driven architecture, Domain Driven Design, I have lead multiple teams from setting technical vision through to successful delivery. I am an experienced public speaker having spoken in many global conferences and meetups. I am an established author having published a field story in a LeanPub book on Visual Collaboration Tools and several notable engineering blog spaces. Key Competencies : 1. Shape product technical strategy and vision by promoting platform capabilities and transformation 2. Recommend and organise teams for high throughput, collaboration and performance by drawing from (Reverse) Conway's Law, DDD strategic team patterns and Team Topologies 3. Lead multiple engineering pods (upto 4) and support engineers' (upto 15) in their career development and performance goals 4. Early talent diversity advocate 5. Apply DDD in complex, enterprise level providing strategies for design and development approaches and best practices for organising high performant teams; 6. Building stakeholder relationship and engaging in discussions with technical and non-technical groups from Product, Engineering to Executive Leadership CxOs 7. Facilitate workshops for business process modelling using Domain Driven Design techniques 8. Experienced Agile practitioner & advocate of best practices Key Technology Areas Big Data Technologies - Apache Flink, Apache Avro, Apache Kafka, Hive Metastore, Apache AirFlow, Qubole, Apache Spark Cloud - AWS Cloud based deployments on EC2, EBS, Kinesis, Firehose, EMR, S3, trained AWS Solution Architect building Cloud Native applications DevOps - CI/CD Pipeline, Infrastructure as code using Terraform, Docker, Kubernetes, Jenkins, Bamboo, Maven, Gradle AI/ML - Engineering Forecasting, Anomaly Detection platform for EG Operational Excellence, knowledge and understanding of some of the cutting-edge technologies such as IoT, ChatBots Certified on Machine Learning and Deep Learning (Neural Networks, CNNs, RNNs) from deeplearning.ai (Certifications) from Stanford University Proficient in Java, knowledged in Scala, Kotlin, Python, Javascript