Data Architecture
We design scalable, secure data architectures that align cloud infrastructure, analytics platforms, governance requirements, and business goals into one practical roadmap for modernization.
Dynamic Data helps organizations design scalable, secure, analytics-ready cloud architectures that turn complex data into measurable business value. Whether you are modernizing legacy systems, planning data pipelines, improving governance, or preparing for AI initiatives, our multidisciplinary team brings practical engineering expertise and business-focused strategy to every AWS architecture consulting engagement.

Strategic architecture, engineering, governance, and optimization services for modern cloud data environments.
We design scalable, secure data architectures that align cloud infrastructure, analytics platforms, governance requirements, and business goals into one practical roadmap for modernization.
Our team builds reliable data engineering foundations, integrating systems and automating workflows so business-critical information moves accurately, consistently, and efficiently across platforms.
We design and maintain end-to-end data pipelines that automate collection, transformation, and distribution, helping teams access timely, trusted data at scale.
We establish governance frameworks that clarify ownership, improve data integrity, support regulatory compliance, and create a trustworthy foundation for analytics and AI initiatives.
We analyze infrastructure, queries, and workflows to remove bottlenecks, improve throughput, reduce operational waste, and make data systems faster and more cost-efficient.
We help organizations define AI roadmaps, prepare data foundations, select appropriate technologies, and design architectures that support measurable machine learning outcomes.

We begin by reviewing your existing data infrastructure, business priorities, reporting needs, governance requirements, and technical constraints to identify gaps, risks, and opportunities for modernization.
Businesses rely on Dynamic Data to modernize data systems and turn complexity into decisions.
We combine strategy, engineering, analytics, and AI expertise to deliver practical cloud architecture outcomes.
Deep experience across BI, AI, governance, engineering, and modern data stack implementation.
Expertise in over 35 platforms and languages supports flexible, future-ready architecture decisions.
dbt and ISTQB certified professionals bring precision to modeling, quality, and delivery.
Every recommendation is tailored to business goals, operational realities, and measurable outcomes.
Experienced leaders guiding modern data architecture and analytics solutions.

CEO & Founder
Victoria Gallerano is the CEO and Founder of Dynamic Data, which she established in 2020 with a mission to transform complex data into actionable insights for businesses worldwide. A recognized expert in Business Intelligence, Artificial Intelligence, and Data Governance, Victoria founded the company to help organizations launch modern data stacks, automate reporting, and harness the power of machine learning for real, measurable results. Under her leadership, Dynamic Data has grown to a team of over 25 professionals spanning Europe, South America, and the USA. Victoria is driven by a client-centric mindset and a passion for innovation, ensuring every solution delivered is tailored to help businesses thrive in an increasingly digital world.

CTO
Diego Prinzi serves as Chief Technology Officer at Dynamic Data, where he leads a multidisciplinary team of data professionals dedicated to delivering innovative, client-driven solutions. With over 15 years of experience in software development and data engineering, Diego brings deep technical expertise and a strategic vision that empowers businesses to make smarter, faster decisions. He is passionate about translating complex data challenges into clear, actionable outcomes that drive meaningful growth for clients. Diego's collaborative leadership style and command of over 35 platforms and languages make him a cornerstone of Dynamic Data's ability to deliver cutting-edge AI and machine learning solutions across industries.

Analytics Engineer
Marcelo Bour is an Analytics Engineer at Dynamic Data and a certified dbt Developer, bringing a powerful combination of technical precision and business acumen to every project he undertakes. With a strong foundation in data modeling, workflow optimization, and analytics engineering, Marcelo plays a key role in streamlining data pipelines and reducing manual efforts for clients undergoing digital transformation. He is deeply committed to fostering collaboration across teams and aligning technical solutions with real business needs. Marcelo's ability to bridge the gap between complex data systems and practical business outcomes makes him an integral part of Dynamic Data's mission to help companies unlock the full value of their data.
AWS architecture consulting typically includes assessment, cloud architecture design, data flow planning, integration strategy, governance recommendations, security considerations, and performance optimization. Dynamic Data focuses especially on data-driven architectures, helping organizations build reliable foundations for analytics, reporting, automation, and AI while aligning technical decisions with measurable business goals.
Talk with our experts about your cloud data goals.
Validates analytics engineering and data modeling expertise.
Supports disciplined testing and quality assurance practices.
Broad technical range across platforms and languages.
Share your goals, current challenges, and data priorities. Dynamic Data will help you identify the right next steps for a scalable, analytics-ready architecture.
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To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.