Your Attractive Heading
About
Us
Who we are
CloudAPITech started with a simple observation: many teams invest heavily in cloud platforms, dashboards, and AI, yet still cannot fully trust their data. Broken pipelines, unclear ownership, and inconsistent reports quietly slow down decisions and create friction between business and IT. CloudAPITech was created to close this gap by bringing together data governance, data quality engineering, and data science under one practical, implementation‑focused studio.
What CloudAPITech does
CloudAPITech helps clients ensure their data is accurate, compliant, and ready for analytics by offering services across data engineering, data science, AI, data quality, and governance on modern cloud platforms. From building and integrating cloud data platforms to creating dashboards and intelligent models, the focus is on delivering measurable improvements in decision‑making speed, reliability, and scalability
How CloudAPITech works
Engagements usually start with understanding the current data landscape and business objectives, then designing a roadmap that covers data collection, integration, modelling, quality checks, and analytics delivery. CloudAPITech aims to be a collaborative partner, sharing best practices and templates so that client teams can manage and evolve their data ecosystem long after the initial project ends.
Leadership Team
Co Founder – Piyaa Puri
Drives data quality monitoring, support frameworks, and ongoing optimization, ensuring your data platforms remain reliable and compliant post-implementation.
CO- Founder – Akash Puri
Oversees project delivery, client engagements, and scalable processes to ensure every initiative runs smoothly from assessment to production handover
CTO (Chief Technology Officer)
Leads technical strategy, platform architecture, and innovation in data governance, quality engineering, and data science across cloud environments like Databricks, AWS, and Snowflake.
Mission
To help data‑driven organizations turn complex, messy data into clean, governed, and reliable intelligence that powers everyday decisions.
Vision
A world where every business, regardless of size, can rely on its data as confidently as its most trusted people
Values
- Quality first
Every solution is designed and tested to reduce defects, remove ambiguity, and improve trust in numbers.- Clarity over complexity
Complex data problems are translated into simple language, clear steps, and actionable roadmaps.- Ownership and transparency
Clients always know what is being done, why it matters, and how to maintain it after the engagement.- Continuous learning
New tools, patterns, and best practices are actively explored and shared so your data stack stays modern and relevant.- Empathy for users
Processes and products are designed for real people—analysts, engineers, and business users—so solutions actually get adopted.