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    <title>Matteo Corain</title>

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                    <h1>Matteo Corain</h1>
                    <p class="contacts">
                        <a href="https://www.linkedin.com/in/mcorain/"><i class="fab fa-linkedin"></i> mcorain</a>
                        <span class="separator">•</span>
                        <a href="https://github.com/mattecora"><i class="fab fa-github"></i> mattecora</a>
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                <p>
                    Senior Data/DevOps Engineer and Cloud Solution Architect with extensive experience designing and
                    implementing production-ready data platforms and cloud-native architectures, with a strong focus on
                    the AWS ecosystem.
                    <br />
                    Holder of multiple professional-level certifications, with several complex cloud and data
                    engineering projects delivered across diverse industries.
                </p>
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        <h2 class="header">Work experience</h2>

        <div class="row">
            <p class="institution">Data Reply</p>
            <p class="year">2024-now</p>
        </div>

        <p class="title">Senior Data Engineer</p>

        <p class="description">
            Main duties and responsibilities:
        </p>

        <ul class="description-long">
            <li>Design and implement scalable, distributed data platforms and architectures on major cloud providers,
                covering the full data lifecycle and with a strong focus on performance, reusability, and cost
                efficiency.</li>
            <li>Support data science teams by building feature engineering pipelines, deploying serving architectures
                for ML and GenAI use cases, and introducing MLOps practices for model lifecycle management.</li>
            <li>Architect and implement enterprise-grade data governance platforms and data mesh solutions, ensuring
                discoverability, access control, and data product lifecycle management.</li>
            <li>Design and maintain IaC solutions, implement CI/CD pipelines, and manage cloud resource provisioning
                following DevOps best practices across multi-team and multi-domain environments.</li>
        </ul>

        <div class="row">
            <p class="institution">Data Reply</p>
            <p class="year">2021-24</p>
        </div>

        <p class="title">Data Engineer</p>

        <p class="description"></p>

        <div class="row">
            <p class="institution">Politecnico di Torino</p>
            <p class="year">2017-20</p>
        </div>

        <p class="title">Laboratory assistantship</p>

        <p class="description"></p>

        <h2 class="header">Certifications</h2>

        <div class="row">
            <p class="institution">Amazon Web Services</p>
            <p class="year">2026</p>
        </div>

        <p class="title">AWS Certified Security - Specialty (SCS-C03)</p>

        <p class="description"></p>

        <div class="row">
            <p class="institution">Amazon Web Services</p>
            <p class="year">2025</p>
        </div>

        <p class="title">AWS Certified Machine Learning Engineer - Associate (MLA-C01)</p>

        <p class="description"></p>

        <div class="row">
            <p class="institution">Databricks</p>
            <p class="year">2025</p>
        </div>

        <p class="title">Databricks Certified Data Engineer - Professional</p>

        <p class="description"></p>

        <div class="row">
            <p class="institution">Amazon Web Services</p>
            <p class="year">2024</p>
        </div>

        <p class="title">AWS Certified Data Engineer - Associate (DEA-C01)</p>

        <p class="description"></p>

        <div class="row">
            <p class="institution">Amazon Web Services</p>
            <p class="year">2024</p>
        </div>

        <p class="title">AWS Certified DevOps Engineer - Professional (DOP-C02)</p>

        <p class="description"></p>

        <div class="row">
            <p class="institution">Amazon Web Services</p>
            <p class="year">2024</p>
        </div>

        <p class="title">AWS Certified Solutions Architect - Professional (SAP-C02)</p>

        <p class="description"></p>

        <div class="row">
            <p class="institution">Databricks</p>
            <p class="year">2023</p>
        </div>

        <p class="title">Databricks Certified Data Engineer Associate</p>

        <p class="description"></p>

        <div class="row">
            <p class="institution">HashiCorp</p>
            <p class="year">2023, 2025</p>
        </div>

        <p class="title">HashiCorp Certified: Terraform Associate (003)</p>

        <p class="description"></p>

        <div class="row">
            <p class="institution">Databricks</p>
            <p class="year">2021</p>
        </div>

        <p class="title">Databricks Certified Associate Developer for Apache Spark 3.0</p>

        <p class="description"></p>

        <h2 class="header">Education</h2>

        <div class="row">
            <p class="institution">Politecnico di Torino</p>
            <p class="year">2021</p>
        </div>

        <p class="title">2nd Level Specializing Master in Artificial Intelligence and Cloud Computing: Hands-on
            Innovation</p>

        <p class="description">
            Thesis title: <em>Engineering ETL processes on AWS: a framework-based solution</em>
            <br />
            Final mark: 110/110 cum laude
        </p>

        <div class="row">
            <p class="institution">Politecnico di Torino</p>
            <p class="year">2018-20</p>
        </div>

        <p class="title">Master of Science (Laurea Magistrale) in Computer Engineering, Data Science orientation</p>

        <p class="description">
            Thesis title: <em>A density-based method for scalable outlier detection in large datasets</em>
            <br />
            Final mark: 110/110 cum laude
        </p>

        <div class="row">
            <p class="institution">Politecnico di Milano, Politecnico di Torino</p>
            <p class="year">2018-20</p>
        </div>

        <p class="title">Alta Scuola Politecnica</p>

        <p class="description">Project title: <em>EnerChainge: Blockchain for smart energy applications</em></p>

        <p class="description-long">Alta Scuola Politecnica offers an excellence double degree program restricted to the
            top 150 students of Politecnico di Torino and Politecnico di Milano. ASP students are required to attend
            additional, ad-hoc courses and develop a final, year-long multidisciplinary project in collaboration with
            academic and industrial tutors.</p>

        <div class="row">
            <p class="institution">University of Illinois at Chicago</p>
            <p class="year">2018-20</p>
        </div>

        <p class="title">Master of Science in Computer Science (TOP-UIC)</p>

        <p class="description"></p>

        <p class="description-long">TOP-UIC is a MS-level double degree program offered by Politecnico di Torino and
            University of Illinois at Chicago (UIC). TOP-UIC students are required to attend a semester of courses in
            Chicago and develop the final thesis in collaboration with advisors from both universities.</p>

        <div class="row">
            <p class="institution">Politecnico di Torino</p>
            <p class="year">2015-18</p>
        </div>

        <p class="title">Bachelor of Science (Laurea) in Computer Engineering</p>

        <p class="description">Final mark: 110/110 cum laude</p>

        <p class="description-long">Part of the <em>Percorso per Giovani Talenti</em> project, restricted to the top 200
            students of the university, which integrates the normal educational plan with the addition of supplementary
            courses and activities.</p>

        <div class="row">
            <p class="institution">Liceo Scientifico C. Cattaneo (Torino)</p>
            <p class="year">2010-15</p>
        </div>

        <p class="title">High school diploma (Maturità Scientifica)</p>

        <p class="description">Final mark: 100/100 cum laude</p>

        <h2 class="header">Publications</h2>

        <div class="row">
            <p class="institution">M. Corain, P. Garza and A. Asudeh</p>
            <p class="year">2021</p>
        </div>

        <p class="title">DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets</p>

        <p class="description">2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021, pp. 37-48, doi:
            10.1109/ICDE51399.2021.00011.</p>

        <h2 class="header">Languages knowledge</h2>

        <p><strong>Mother tongue</strong>. Italian</p>
        <p><strong>Other languages</strong>. English level C1 (CEFR)</p>
        <p><strong>Certificates</strong>. IELTS Academic 8.0 (April 14th, 2018)</p>

        <h2 class="header">Technical knowledge</h2>

        <p><strong>Big Data & Processing</strong>. Deep expertise in distributed data processing using Apache Spark,
            with hands-on experience in Delta Lake and Apache Iceberg for reliable, versioned data lake management.</p>
        <p><strong>Databases & Storage</strong>. Broad knowledge of relational and NoSQL databases, including
            PostgreSQL, MySQL, Oracle, MongoDB, Elasticsearch, and DynamoDB, with experience in data modeling, querying,
            and optimization.</p>
        <p><strong>AI/ML</strong>. Hands-on experience designing and deploying AI/ML solutions using SageMaker and
            Bedrock, including generative AI, RAG and agentic architectures, model serving, and end-to-end MLOps
            practices for model lifecycle management.</p>
        <p><strong>Infrastructure & DevOps</strong>. Strong experience with Infrastructure as Code via Terraform and
            CloudFormation, containerization with Docker and Kubernetes, and CI/CD pipeline design across multiple
            platforms including Jenkins, CodePipeline, GitLab CI, and Azure DevOps.</p>
        <p><strong>Amazon Web Services</strong>. Extensive hands-on experience across a broad range of services,
            covering compute, networking, storage, data, governance, security, and AI/ML, including EC2, Lambda, ECS,
            EKS, S3, RDS/Aurora, DynamoDB, Step Functions, API Gateway, Cognito, CloudWatch, Glue, Kinesis, SageMaker,
            Bedrock, AgentCore, Lake Formation, DataZone, and more.</p>
        <p><strong>Databricks</strong>. Advanced proficiency in data engineering and medallion lakehouse architectures,
            including pipeline development, cluster management, and MLflow-based model lifecycle management.</p>
        <p><strong>Snowflake</strong>. Experience in cloud data warehousing, including data ingestion from batch and
            real-time sources, transformation via stored procedures and tasks, data consumption, and cost optimization.
        </p>
        <p><strong>Programming Languages</strong>. Python, Scala, Java, SQL, TypeScript/JavaScript, HTML/CSS, shell
            scripting.</p>
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