About DataArch

DataArch Consultancy LLP has been at the forefront of data transformation, helping organizations generate measurable value from their data while maintaining a low expense ratio. Based in Pune, India, we specialize in combining cloud technologies, data engineering, and analytics to enable scalable, efficient, and impactful digital transformation.

Our team of seasoned data architects, engineers, and scientists leverages cutting-edge tools—including AWS, Microsoft Azure, and Google Cloud Platform (GCP)—to deliver elegant, modular, and secure solutions tailored to each client's unique needs. Whether it's building robust data pipelines, managing Data Lakes, or delivering insightful machine learning and analytics, we empower companies to transform the way they work.

DataArch Team

Our Values

These core principles guide everything we do, from how we develop solutions to how we interact with our clients.

Collaboration

We work closely with our clients, becoming an extension of their team to achieve shared goals.

Results-Driven

We focus on delivering measurable business outcomes, not just technical implementations.

Adaptability

We embrace change and continuously evolve our approaches to meet emerging challenges.

Meet Our Team

Our diverse team of experts brings together decades of experience in data architecture, cloud computing, and analytics.

Team Member 1

Team Member 1

CEO & Founder

With over 15 years of experience in data architecture and cloud solutions, Alex founded DataArch to help businesses unlock the full potential of their data assets.

Team Member 2

Team Member 2

CTO

Samantha leads our technical team with her expertise in AI and machine learning, ensuring our solutions leverage cutting-edge technologies.

Team Member 3

Team Member 3

Head of Data Science

Michael brings deep expertise in data analytics and predictive modeling, helping our clients turn raw data into actionable insights.

Team Member 4

Team Member 4

Senior Developer

Emily ensures our clients achieve their business objectives through strategic data initiatives and continuous improvement.