Data Architecture
Design scalable, secure AWS data lake architectures aligned to business goals, analytics use cases, governance requirements, and future AI or machine learning initiatives.
Build a scalable, governed, and analytics-ready AWS data lake with Dynamic Data’s strategy, architecture, and engineering support. Our multidisciplinary team helps enterprises unify siloed data, automate pipelines, improve performance, and prepare trusted datasets for BI, AI, and machine learning—turning large-scale cloud data infrastructure into measurable business value.
End-to-end data lake consulting covering architecture, integration, pipelines, governance, optimization, and analytics enablement.
Design scalable, secure AWS data lake architectures aligned to business goals, analytics use cases, governance requirements, and future AI or machine learning initiatives.
Build and maintain reliable data engineering workflows that consolidate business information, reduce manual effort, and support high-performance cloud data operations at enterprise scale.
Create automated end-to-end data pipelines for collection, transformation, and distribution, ensuring consistent, timely, and trusted data delivery across AWS environments.
Connect disparate operational, application, marketing, and analytics systems into a unified data layer that eliminates silos and creates a single source of truth.
Establish practical governance frameworks for ownership, data integrity, access standards, quality controls, and regulatory alignment across modern cloud data platforms.
Analyze infrastructure, workflows, and queries to remove bottlenecks, improve throughput, and make large-scale data lake operations faster and more cost-efficient.
We review your existing systems, data sources, reporting workflows, business priorities, and technical constraints to identify gaps, modernization opportunities, and the right AWS foundation for your data lake.
Dynamic Data helps organizations modernize data workflows and turn complex information into actionable insights.
"Victoria and her team were EXCELLENT - i cannot talk highly of them enough. They helped me create a world class product. Their organization and strategy and delivery was all timely and as expected. you will not be disappointed! Choose them."
"The dashboards delivered by the Dynamic Data team exceeded my expectations. I was able to get clarity on data I didn't even realize I could get."
"Three things made the Dynamic Data team stand out from other options: They have an intimate knowledge of Google Cloud services. There were concepts and implementation details that only they were familiar with. Their ability to break down the project and implement it on time was extremely important in helping..."
"Victoria and her team were EXCELLENT - i cannot talk highly of them enough. They helped me create a world class product. Their organization and strategy and delivery was all timely and as expected. you will not be disappointed! Choose them."
"The dashboards delivered by the Dynamic Data team exceeded my expectations. I was able to get clarity on data I didn't even realize I could get."
"Three things made the Dynamic Data team stand out from other options: They have an intimate knowledge of Google Cloud services. There were concepts and implementation details that only they were familiar with. Their ability to break down the project and implement it on time was extremely important in helping..."
"Victoria and her team were EXCELLENT - i cannot talk highly of them enough. They helped me create a world class product. Their organization and strategy and delivery was all timely and as expected. you will not be disappointed! Choose them."
"The dashboards delivered by the Dynamic Data team exceeded my expectations. I was able to get clarity on data I didn't even realize I could get."
"Three things made the Dynamic Data team stand out from other options: They have an intimate knowledge of Google Cloud services. There were concepts and implementation details that only they were familiar with. Their ability to break down the project and implement it on time was extremely important in helping..."
Partner with a data consulting team built for modern cloud transformation.
Specialists in BI, AI, data governance, engineering, visualization, and analytics architecture.
Experience across 35+ platforms and languages supports flexible, scalable implementation decisions.
dbt Certified Developer and ISTQB QA expertise strengthen data modeling and quality practices.
Every solution is tailored to business outcomes, adoption needs, and measurable value.
Experienced leaders guiding modern data transformation programs.
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.
Amazon S3 is the core AWS service commonly used for data lakes because it provides scalable object storage for structured, semi-structured, and unstructured data. Large implementations often combine S3 with services such as AWS Glue for cataloging and ETL, Lake Formation for governance, Athena for querying, and Redshift or QuickSight for analytics.
Talk with our experts about architecture, pipelines, and governance.
Certified expertise in analytics engineering workflows.
Quality assurance knowledge for reliable delivery.
Experience across 35+ platforms and languages.
Share your data goals, source systems, and implementation challenges. Dynamic Data will help you define the right AWS data lake roadmap and next steps.
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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.