We engineer data reliability,
not just measure it
Because quality is never an accident.
Because quality is never an accident.
Discover our story
We envision organizations empowered to act with confidence—where data isn’t a liability but a strategic asset. Where trust in information is absolute, and decisions drive progress rather than uncertainty.
We break down silos between technology, business, and governance. We don’t just find problems—we prevent them. We build the foundation that makes data-driven excellence inevitable.
After earning his mechanical engineering degree in 1996, Sandesh Gawande began his career at ADCC Pvt Ltd, an Indian software startup, where he worked with PowerBuilder, Oracle, and developed ERP data models using Erwin.
In 1999, he dedicated himself fully to data engineering, working on projects spanning data modeling, data architecture, ETL, and data quality. He designed and built data warehouses and big data solutions, and led migration initiatives for major companies in banking, insurance, healthcare, and manufacturing.
During the implementation of a data warehouse at an insurance firm, three critical gaps became impossible to ignore:
The root cause? They were measuring quality at the end – rather than engineering quality during development and operations.

With a background in mechanical engineering, Sandesh recognized that data systems share fundamental similarities with factories:
A. Build & Test: Data pipelines are machines that require careful construction, testing, and deployment.
B. Monitor the Processing: Once in production, raw data is ingested and the pipeline-much like an assembly line-processes it. Both the data and the pipeline must be monitored at every stage.
C. Inspect Before Delivery: Just like manufacturing, the final processed data must be inspected for deficiencies before release.
The conclusion was clear: Data systems must be treated like factories, and data must be treated as a product-engineered from day one, not just measured at the end and hoped for the best.
Previously, most organizations only checked data after it was processed—ignoring testing during development and monitoring in production. Drawing inspiration from manufacturing quality control, Sandesh built a comprehensive data reliability platform:
A data reliability engineering platform that spans the entire lifecycle—from development and raw data ingestion, through transformation, to final delivery.
Technology is the ultimate lever—the single greatest force that separates us from our ancestors and moves civilization forward. We build tools that amplify human potential and accelerate the pace of progress.
Quality is never an accident. Excellence comes from relentless focus on process, because when the process is right, the outcome is inevitable. We obsess over the systems that create consistent results.
Innovate or expire. If we don’t reinvent ourselves, someone else will. We choose to lead change, not follow it. Complacency is the enemy; continuous evolution is the mandate.
We value depth over noise. We scale for impact, not for size. Every feature, every interaction, every decision is measured by the meaningful difference it makes—not by vanity metrics.
While our code is technical, our foundation is human.
— The iceDQ Team
These aren’t words on a wall. They’re the commitments we make to each other, our customers, and the world.

We treat our colleagues, customers, and partners as family—with genuine care, respect, and a lifelong commitment to their success.

It is the foundation of every relationship—whether personal or business. We earn it through absolute transparency and keep it through consistency.

We are committed to excellence in every aspect of life—bringing the same rigor to our personal character as we do to our professional craft.

We choose to be producers, not just consumers. Our work must preserve and protect the world for future generations.
Join hundreds of enterprises who trust iceDQ to engineer data quality into their most critical systems.