Murilo Fantozzi
Data Architect, Delivery Consultant Professional Services @Amazon Web Services (AWS)
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WORK HISTORY
Data Architect, Delivery Consultant Professional Services @Amazon Web Services (AWS)
São Paulo, BR
As a Data Architect in AWS Professional Services, I support Financial Services clients in designing, building, and scaling cloud-native Data & Analytics platforms on AWS.I work end-to-end across the customer journey — from architecture definition and technical decision-making to hands-on delivery and production support — helping organizations modernize legacy data platforms, enable advanced analytics, and build foundations for AI/ML at scale.My role sits at the intersection of architecture, delivery, and customer enablement, ensuring solutions are secure, scalable, cost-efficient, and aligned with business outcomes.Delivery & Hands-on Implementation• I lead and contribute hands-on to data platform implementations and PoCs, including ingestion, transformation, governance, and analytics layers, as well as building secure, scalable pipelines for structured, semi-structured data and supporting production deployments, performance tuning, and operational readinessCustomer Enablement & Advisory• I act as a trusted technical advisor for senior stakeholders (engineering, data, security, leadership), also translating business requirements into technical architectures• Enabled customer teams through workshops, design sessions, and best-practice guidanceTech Stack used in a D2D basis:Data & Analytics• Amazon S3, AWS Lake Formation• AWS Glue (ETL, Data Catalog)• Amazon Athena• Amazon Redshift• Amazon EMR (Spark, Hive, Flink, Presto)• Amazon Kinesis (Streams / Firehose)Compute & Orchestration• AWS Lambda• Amazon ECS / EKS• AWS Step Functions• Amazon MWAA (Airflow)Security & Governance• Security & Governance• AWS IAM• AWS KMS• AWS CloudTrail• VPC, PrivateLink• Data access controls & encryption strategiesDevOps & Operations• AWS CloudFormation / Terraform• Amazon CloudWatch• CI/CD for data pipelines• Cost optimization and performance tuning
EDUCATION
Universidade Anhembi Morumbi
Bachelor's degree, Computer Science
Universidade São Judas Tadeu
Bachelor's degree, Law
FGV - Fundação Getulio Vargas
Postgraduate Degree, Business Administration and Management, General
ABOUT MURILO FANTOZZI
I’m a Data Architect and Delivery Consultant at Amazon Web Services Professional Services, currently supporting Financial Services organizations in designing, building, and scaling cloud-native Data & Analytics platforms.I work end-to-end across the data lifecycle — from architecture strategy and technical decision-making to hands-on delivery and production support — helping customers modernize legacy platforms, enable advanced analytics, and build secure, AI/ML-ready data foundations on AWS. My focus is on delivering solutions that are scalable, cost-efficient, compliant, and aligned with real business outcomes, not just technically correct.Before AWS, I spent nearly a decade in data consulting and engineering roles, leading the design and implementation of large-scale data platforms across cloud and on-prem environments. At Santander Brasil, I delivered automation initiatives that reduced manual intervention by ~60% and increased operational efficiency by ~50%, reinforcing a principle that still guides my work today: decisions should be driven by evidence, not opinion.I’m also a co-founder and former CEO of Spectate, an eSports-focused social platform, where I led product and technical strategy, doubled user engagement, and secured multiple strategic partnerships. That experience strengthened my ability to connect technology, product, and business, and to operate effectively in ambiguous, high-ownership environments.In parallel, I’ve contributed to mentoring, hiring, and developing data engineers at companies like Tiger Analytics and Code17Tek — conducting technical interviews, helping build strong teams, and supporting engineers as they grow into senior roles.Today, my work sits at the intersection of architecture, delivery, and customer enablement, combining deep technical execution with advisory responsibility. I’m particularly interested in data platform modernization, analytics at scale, governance in regulated environments, and building durable foundations for AI.If you’d like to discuss data architecture, cloud modernization, or potential collaboration, feel free to reach out. Contact: m••••••••@hotmail.com
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