Unify Data

We unify data across silos with modern, cloud-native data architecture paradigms. All this while ensuring no downtime for the teams who continue to do their work.

Business Case

Data analysis with right context yields better results as opposed to a siloed approach. Take for example a case of a video on demand provider exploring a decline in overall time spent by their users on the app. Unless this team has access to a myriad of data points from other teams like video streaming speed, new content added recently, marketing data, and so on - they can't make an informed decision on what caused the downturn.

While the exact situation may differ in different organizations, the underlying requirement remains - a unified mechanism to view, understand and analyse data points from across the board adds tremendous value to your data analysis efforts.

Modern, open source analytics platforms connect to a wide variety of data sources, from S3 to HDFS to Relational and NoSQL databases. Additionally messaging platforms like Kafka and RabbitMQ bring flexibility to build scalable systems that can serve as the backbone of a unified data platform for an organization.


Unifying data has challenges like, Incompatible interfaces among storage platforms, scattered dashboards, gravity in siloed data. This adds complexity to unification efforts. With our extensive experience in the analytics space, we design a careful approach, tailored to your specific challenges. This helps mitigate the challenges and move forward.


Wholistic picture of your unique situation helps us understand problems specific to your team. We leverage the building blocks of cloud native technology, and build the solution in tranches to propel your business forward smoothly.


We stand by our solutions and ensure unwavering support as your team reaps the benefits of the cloud native movement. We want to you to move forward to the next level of your business goals, as we ensure continued availability and performance of your analytics systems.

Our Expertise

Developer.sh team brings core expertise in architecture, design, and development of efficient Data analytics platforms using modern cloud-native tools and programming patterns. We strive to build systems that are tailored to your requirements and needs, while ensuring it can scale as the company grows.

Tools & Tech
Apache Nifi, Apache Airflow, Apache Kafka, RabbitMQ, React, D3
AWS, Azure, GCP, Private Cloud, Kubernetes