At Cambridge Mobile Telematics, our team excels in developing advanced ETL pipelines and ML OPS processes within an AWS-powered landscape. With a hands-on approach to data governance and Big Data architecture, we've crafted a scalable Datalake that serves as the backbone for our SaaS offerings. The deployment of multi-region Databricks Workspaces stands as a testament to our commitment to innovation and operational excellence.Collaboratively setting Quarterly OKRs with senior management, we ensure strategic alignment and measurable results. Mentoring teams in adopting and deploying AWS services effectively showcases our dedication to excellence and secure data practices. My role is to empower the data science team to optimize and scale their code, turning trillions of records into actionable insights.Cloud: AWS experience 7+ years, AWS Data and Analytics, Machine LearningData Modellng: OLAP, OLTP, Query performance tuningLanguages: Python, JAVA, SQL, HIVE, Scala, Spark, Terraform, SQL, PyTorchDatabases: Postgres, MySQL, Redshift, DynamoDb, KinesisOthers: Data Warehousing, Data Modelling, Data Pipelines, Data Governance, Ray FrameworkTools: Databricks, Tableau, IntelliJ, Docker, Talend, Pentaho, Dbt, MLFlow, SageMakerAgile: JIRA, Change Management, Sprint Planning, Leading ScrumsCI/CD: GIT, Jenkins, CodePipelineTools: Bitbucket, Jenkins, Docker, Helm Charts, ANT, Maven and GradleAWS: EC2, ECS, Kubernetes, EMR, Step Functions, Lambda, S3, Glue,