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Federico Sardo

Data Solution Architect

Professional profile

I'm a Data Solution Architect. I help companies adopt data and AI technologies, from figuring out where to start to running solid architectures in production. I stay close to both the client and the team, because a solution nobody understands or can operate is not really a solution.

Working across cloud platforms gave me an architectural mindset that is not tied to one vendor. I evaluate each case through its technical requirements, client ecosystem, and long-term strategy. I bring deep Azure expertise, hands-on GCP experience, and a growing focus on Cloud FinOps and FinOps for AI.

I continuously deepen my understanding of AI strategy and adoption, incorporating these tools into my daily work and developing sound judgment around governance, risk, architecture, and the economics of AI-based solutions. I aim to connect these capabilities with data architecture, team management, and concrete business needs.

Professional experience

Solutions Architect · Novakorp SA

Remoto / Remote

Jul 2021 – May 2026

Solutions Architect · Mar 2022 – May 2026

  • Led the end-to-end migration of an Azure Synapse Analytics solution to Microsoft Fabric, in close coordination with the client.
  • Designed the data architecture for an automotive-parts client, building a logical data warehouse on the Azure Synapse Analytics ecosystem (Pipelines, Dataflows, Spark Pool, Serverless SQL Pool) along with Azure Files, ADLS Gen2, Key Vault, and Private Endpoints.
  • Designed and deployed a data solution for an agricultural client using Azure HDInsight Clusters (Hadoop and Spark).
  • Designed the Azure data architecture for a Canadian mining client, integrating ADLS Gen2, Azure Data Factory, Synapse Analytics and Azure DevOps with IaC using Azure Bicep.
  • Managed installation and setup of Cloudera Data Platform (Public Cloud) deployed on Microsoft Azure.

Data Engineer · Jul 2021 – Mar 2022

  • Contributed to building a data lake for a telecom company in Ecuador with Apache NiFi, Hive, Impala and Spark.
  • Collaborated in architecture design and proposals, taking on a Junior Solution Architect role alongside data-engineering work.
  • Set up a Big Data dev stack with Docker and Docker Compose, enabling faster environment provisioning for the team.

Data Engineer · Santander Tecnología Argentina

Sep 2020 – Jun 2021

  • Assigned to the Data-Hub team, collaborating with Santander Spain.
  • Evaluated Apache Airflow across vendors including Astronomer and Amazon MWAA.
  • Explored Apache Flink for real-time stream processing.
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Federico Sardo

Data Solution Architect

Professional experience

Big Data Developer · Vates SA · Claro

Sep 2015 – Sep 2020

  • Built Big Data applications with IBM Streams Platform and SPL for one of LATAM's largest telecom providers.
  • Contributed to the migration from IBM Streams to an open-source stack: Apache NiFi, Kafka, Flink, Elasticsearch and Kibana.

Earlier roles · Vates SA

Jul 2007 – Apr 2015

  • Scrum Master · ARRIS · May 2012 – Apr 2015
  • Java Developer · Motorola · Sep 2011 – Apr 2012
  • Java Developer · OSDE · Jan 2011 – Aug 2011
  • Java Developer · Tarjeta Naranja · Oct 2010 – Jan 2011
  • Java Developer · Claro · Jul 2007 – Oct 2010

Professional capabilities

Data solution architecture

I design cloud platforms, data lakes, integrations, and modernization initiatives with a focus on maintainable, operable solutions. I am deepening my Cloud FinOps and FinOps for AI practice to bring cost, usage, and economic sustainability into architecture decisions.

Discovery and client partnership

I understand business and technical needs, translate them into requirements, and guide decisions toward an architecture that can be implemented and operated.

Team management and delivery

I coordinate teams, priorities, and dependencies while facilitating communication between technical and business roles, supported by my Scrum Master experience.

Applied AI and organizational adoption

I integrate AI into my daily work and continuously develop my knowledge of strategy, governance, risk, architecture, and the economics of AI-based solutions.

Ecosystems: Applied experience primarily in Microsoft Azure and Microsoft Fabric, with projects in GCP and open-source Big Data platforms.

Education

Systems Engineering

Universidad Tecnológica Nacional · UTN-FRC · Córdoba, Argentina

Final project in progress

University education in information systems and software development.

Certifications