Data Engineering
Build reliable data foundations with scalable engineering practices, automated workflows, and clean transformations that make your operational, marketing, and analytics data usable across departments.
Unify fragmented systems and give your teams a dependable single source of truth with Dynamic Data’s data integration consulting services in new york. Built for the pace of New York’s data-driven companies, our solutions connect platforms, automate pipelines, improve governance, and turn scattered operational data into accurate, accessible insight for faster business decisions.
End-to-end consulting for integrating, governing, automating, and optimizing business data across modern platforms.
Build reliable data foundations with scalable engineering practices, automated workflows, and clean transformations that make your operational, marketing, and analytics data usable across departments.
Connect data from CRMs, marketing platforms, databases, apps, and cloud tools into one accessible layer, reducing silos and helping every team work from trusted information.
Design, build, and maintain automated pipelines that collect, transform, and deliver data consistently, so teams receive timely metrics without manual exports or spreadsheet workarounds.
Plan scalable data architectures aligned with business goals, platform requirements, governance needs, and future analytics use cases before expensive technical decisions are made.
Establish clear data ownership, integrity rules, documentation, and compliance frameworks that make integrated data trustworthy, auditable, and ready for business-critical reporting.
Analyze infrastructure, queries, and workflows to remove bottlenecks, improve throughput, reduce processing costs, and keep integrated data systems running efficiently at scale.
We begin by mapping your existing tools, data sources, reporting pain points, and decision-making needs. For New York organizations managing fast-moving operations, this discovery clarifies where disconnected systems are slowing growth or creating inconsistent metrics.
See how data-driven organizations turn complex systems into clearer reporting and smarter decisions.
"Awesome attention to detail with a very collaborative approach. A great partnership relationship, very dependable, and outstanding follow through."
Dynamic Data combines strategic consulting, technical execution, and practical business understanding.
dbt certified and ISTQB certified specialists bring precision to modeling, testing, and delivery.
Expertise across 35+ platforms supports complex integrations for New York’s fast-moving business environments.
A 25-person team across three continents provides broad technical depth and collaborative delivery.
Solutions are tailored for measurable outcomes, from cleaner reporting to decisions New York leaders can trust.
Experienced leaders guiding modern data transformation projects.
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.
Data integration consulting services help organizations connect data from separate systems into a unified, accurate, and usable environment. This typically includes source assessment, architecture design, pipeline development, data transformation, governance, and validation. The goal is to eliminate silos, reduce manual reporting, and ensure teams can make decisions from consistent, trusted information.
Talk with our experts about your systems, goals, and next steps.
Validated expertise in modern analytics engineering.
Quality assurance discipline for reliable delivery.
Broad technical coverage for complex data stacks.
Share your integration goals, current systems, and reporting challenges. Dynamic Data will help define a practical path toward cleaner, more reliable data.
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