Montreal, Quebec, Canada
I am currently a Technical Sales Specialist working with Quebec Digital Natives at Google. As a strategic advisor, I collaborate with Enterprise customers & help them use/adopt GCP services in a pre-sales & post-sales fashion. I held the same position at Microsoft for ~2 years where I collaborated with Corporate customers to use/adopt Azure Data & AI services. Prior to BigTech, I worked as as Cloud Platform Engineer & Sr. Cloud Infrastructure Analyst. In these roles, I was responsible for building Cloud solutions on AWS, Azure & Azure Stack Hub. I have a mixed background, split between data services infrastructure & cloud platform engineering. On the Data side, I worked with Hadoop, Big Data, Analytics & Machine Learning/AI for services enablement, integration, operationalization & administration on AWS. On the Platform Engineering side, I worked on automating Cloud platform deployments & empowering consumers to self-serve on both AWS & Azure. I am very passionate & continuously enhance my knowledge about Data Analytics, Machine Learning, AI & all aspects of Cloud.
Business Unit: Google Cloud, Customer Engineering ———————————————————————— • Role: Technical Sales Specialist - Digital Natives (Platform Engineer) • Segment: Enterprise • Territory: Tech & ISV, Quebec • L5
Business Unit: Google Cloud, Customer Engineering ———————————————————————— • Role: Technical Sales Specialist, Data Analytics (Customer Engineer) • Segment: Enterprise • Territory: Growth/Spenders • L5 Responsibilities: • Support local Sales teams by engaging with customers to address aspects of the data lifecycle • Be a trusted cloud advisory in the field of Data Analytics & AI for my customers • Lead technical projects, including RFI/RFP responses, product/solution briefings, demos, POCs/POVs • Convey the value of the Google Cloud Platform through whiteboarding sessions, slide presentations & EBCs Q4 2023: 307% attainment (300% cap)
Business Unit: Digital Sales & Solutions Team: SMC-C ————————————————————— • Role: Digital Technical Specialist - Data & AI • Territory: Eastern Canada • Promotion to L62 in September 2023 Responsibilities: • Engage with commercial clients, assess their business needs, and design solutions with a primary focus on Azure Data & AI • Be a trusted cloud advisor/ Field CTO for my customers • Conduct demos, webinars & architectural design sessions • Orchestrate/Facilitate POCs & OpenHacks for customers • Collaborate with Microsoft partners to help customers achieve more with Azure • Help customers accelerate their journey from envisioning solutions to the implementation stage Skills/Expertise: • Azure Synapse Analytics • Azure Data Factory • Microsoft Fabric • Big Data/ Hadoop technologies • Azure Data Lake Storage (ADLS) • Azure OpenAI • Azure Cognitive Services / AI • Azure Machine Learning • Azure Databricks • Azure SQL • Serverless (Azure Functions, Event Grid) • CosmosDB IaC: • ARM • Terraform • Bicep Other Responsibilities: • Interviewing potential candidates for Tech Specialist roles within SMC (technical interview) • Onboarding buddy for New Member on the Team
Business Unit: Digital Sales & Solutions Team: SMC-C ————————————————————— • Role: Digital Cloud Solutions Architect - Data & AI • Territory: Eastern Canada • Started in role as L61 Responsibilities: • Engage with commercial clients, assess their business needs, and design solutions with a primary focus on Azure Data & AI • Be a trusted advisor/ Field CTO for my customers • Conduct demos, webinars & architectural design sessions • Orchestrate/Facilitate POCs & OpenHacks for customers • Collaborate with Microsoft partners to help customers achieve more with Azure Skills/Expertise: • Azure Synapse Analytics • Azure Data Factory • Big Data/ Hadoop technologies • Azure Data Lake Storage (ADLS) • Azure OpenAI • Azure Cognitive Services / AI • Azure Databricks • Azure SQL • Serverless (Azure Functions, Event Grid) • CosmosDB IaC: • ARM • Terraform • Bicep Other Responsibilities: • Interviewing potential candidates for CSA roles within SMC (technical interview) • Onboarding buddy for New Member on the Team
Digital Business & Technology Solutions - Cloud Center of Excellence Team: Cloud Platform Engineering ————————————————————— • Role: Cloud Solutions Design Engineer • Technologies supported: AWS Cloud Skills/Expertise: • AWS Organizations • AWS SSO • VPC/ Subnets/ Security groups • AWS Config • AWS SecurityHub • Control Tower • Lambda • SNS • EventBridge • CloudTrail Responsibilities: • Build automation & compliance by design at a Platform Level using Cloud native technologies • Apply best practices, standards & ensure compliance to all company security directives • Scale & transform the existing Cloud Platform while ensuring its integrity (Cloud Platform 2.0) • Collaborate with Enterprise Architecture, DevOps, Data Science, Machine Learning, Designer & Developer teams to deliver business outcomes • Help support application modernization, M&A’s & Data Center (DC) migrations to the Cloud (internal consultation & hands-on) • Drive forward the Infrastructure as Code (IaC) roadmap Other Responsibilities: • Townhall Organizing Committee member for Q4 2021 edition
Enterprise Services - Data & Analytics Engineering Operations (DA - DAEO) ————————————————————— • Role: Senior Cloud Infrastructure Analyst • Technologies supported: AWS Cloud • AWS Skills/Expertise: 1. SageMaker: Operationalization & Infrastructure SME Leveraging Artifactory for library management & JFrog Xray for vulnerability scanning 2. EMR: Operationalization & Zeppelin configuration SME (with user impersonation & Kerberos) 3. CloudFormation 4. S3 5. EC2 6. IAM 7. CloudWatch 8. Glue 9. SNS 10. Lambda • Hadoop Skills/Expertise: 1. Apache Zeppelin: Integration with Kerberos & Impersonation 2. Apache Hive : Integration with Impersonation 3. Apache Ranger: Policy-Based Security Enablement + REST API process automation 4. Apache YARN: Queue management & Capacity Scheduling 5. Kerberos Integration with Hadoop services • Montreal’s Social Committee representative for DAEO
Enterprise Services - Data & Analytics - Data Management Services (DA - DMS) ————————————————————— • Role: Cloud Infrastructure Analyst • Technologies supported: AWS Cloud • AWS Skills/Expertise: 1. SageMaker: Operationalization & Infrastructure SME 2. EMR: Operationalization & Zeppelin configuration SME (with user impersonation & Kerberos) 3. CloudFormation 4. S3 5. EC2 6. IAM 7. CloudWatch 8. Glue • Hadoop Skills/Expertise: 1. Apache Zeppelin: Integration with Kerberos & Impersonation 2. Apache Hive : Integration with Impersonation 3. Apache Ranger: Policy-Based Security Enablement + REST API process automation 4. Apache YARN: Queue management & Capacity Scheduling 5. Kerberos Integration with Hadoop services • Brighter Way “Champion” for the Cloud Infrastructure & Operations team : 1. Implement a Continuous Improvement mentality amongst my team for effective problem solving and process cost savings. 2. Host on-going huddles and problem-solving sessions in which I drive discussions which lead to time and costs savings. • Montreal’s Social Committee representative for DBIS