Data Engineering & Analytics Services

Use your data to get relevant insights in real-time, improve performance, optimize cost and create great customer experiences

    Data Engineering & Analytics Services

    Data Strategy

    Our assessment framework helps to identify and bridge the gaps in enterprise data architecture, to support Organizational Data Growth and Scalability.

    Data Transformation

    Adapt to changes in formats, logic, volume, and resources, Process enterprise data with sophisticated business logic at any scale, and eliminate anomalies in your data set.

    Data Governance
    & security

    We ensure that data integration pipelines are carefully created to help in making solutions cost-effective and easier for setting governance Parameters.

    Data Wrangling

    Simplifying a complex set of information into a more comprehensible format using Data Management Techniques.

    Data Integration

    Manage multiple varieties of data originating from your applications, systems, databases, data warehouses, digital data, or even offline data into a single hub to ensure the right information is made available to the right user.

    Data Warehouse

    We help to organize your structured, unstructured, semi-structured data from various sources in order to create a library of your own with our support.

    Data Quality

    By Monitoring the quality and ensuring efficient diagnostics are applied to a piece of data can help in critical business decisions.

    Data Analytics & Business Intelligence

    By analyzing data and providing a closer look at future trends, changing behaviour helps, in setting data parameters to drive growth

    Staff Augmentation Service

    Data Analytics (Data Scientist)

    R, Python, Tableau, Power BI, Azure, HADOOP, SQL, AutoML, ML Models, Apache Spark, MongoDB, Google Cloud, AWS

    Data Analytics (Data Visualization Developer)

    Data visualization tools such as Tableau, Power BI, Amazon QuickSight, SQL, Python Libraries

    Data Engineer

    ETL/SQL (Data Engineer)

    Perl, Python, Regular Expression, Node.js, Scrapy, Javascripts, Elastic Search, SQL, SSIS, Talend

    ETL/SQL (Data Architect)

    R, Python, Tableau, Power BI, Azure, HADOOP, SQL, AutoML, ML Models, Apache Spark, MongoDB, Google Cloud, AWS

    Data Analyst

    Data Analytics(Data Analyst)

    MS Office, MySQL, Python, R, PowerBi, Tableau

    Case Study (Data Engineering)

    Case Study

    A leading petrochemical market intelligence provider in Europe

    Case Study

    One of the biggest information service providers in the UK

    Why choose us?