Our Data Engineers have experience in processing data which may be structured, unstructured, semi-structured or stored as RDBMS or Big Data, distributed file systems (HDFS), flat files (text, csv, json, logs), emails, websites & web APIs.

Expertise to process any data and perform data cleansing, data profiling, normalization, text mining, data extraction, data transformation, load data to data warehouses, and more.

Our expertise in building ETL (extract, transform, load) pipelines to process data in real time leads to reliable data processing.

Based on our experience in handling data from any kind of data source, no matter how large, we can migrate and integrate it smoothly, without any negative business impact for customers.

Our Data Engineering team has the expertise to deploy models that can not only predict and provide useful information but can also be updated in real-time with a change in data trends as and when required.

We provide support and maintenance for the complete ETL processing setup to ensure that data is never lost with a change in data trends.