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Data Engineering

For a number of reasons, most businesses find it difficult to produce timely insights, and some of which include the use of various data platforms, a lack of data trust, a lack of data expertise, and insufficient computational resources. The foundation for providing consumers with high-quality insights is data engineering services.

Even when dealing with complex multi-cloud architecture and historical processes, businesses today need to remain agile and for that enterprises need a proper data preparation medium that allows insights from raw data for all types of analytics,
context-specific patterns for interactive visualizations, and predictive and prescriptive analytics.

What We Do ?

What We Do ?

Data Ingestion

Extraction of clustered and unclustered data from batch and streaming sources, together with data cleaning and refinement to make it accessible to data scientists and business users for exploration and analysis on on-premise database systems or modern cloud databases such as MongoDB, Redis, DynamoDB, Bigtable, etc.

ETL/ELT Frameworks

Our highly experienced data engineers develops ETL/ELT (extract, transform load) from various data sources irrespective of volume, velocity, and nature of the data,relational, non-relational, noSQL, big data systems or cloud storages for data preparation and data processing which aid in transformation of data into the necessary data model for business reporting.

Data Modernization

Our data engineering consulting team has substantial expertise in setting up automated data pipelines for both cloud and on-premise users. We help businesses create, implement, and maintain production-quality end-to-end automated data pipelines no matter if they are starting their journey from cloud native phase or willing to migrate business data from on-prem legacy systems into cloud storage infrastructures.

Building Data Pipelines

We build production ready highly accessible, independent data workflow pipelines, data warehouses and data lakes to process data in batch and realtime. It is a cost effective approach which can accumulate zettabytes of data and can support quick processing of data. We support seamless integration of data pipeline management tools such as Hevo, Apache kafka, Apache Airflow, Informatica, Confluent, etc into your business systems.

Process Automation and Deployment

To deploy and automate the data pipeline, our team creates the appropriate DevOps strategy and tactics which are crucial to manage the end-to-end flow of the data pipelines and it helps in saving a significant amount of time while automating the cloud-based deployment services for developing efficient production build and release pipelines.

Success Stories

2022
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2021
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2020
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2019
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Have an analytics need or want to know more about our services?
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about company

On a mission to help 100+ high ambitious startups and organizations transform their business into a data-driven organization, one company at a time. We are aiming to serve businesses like SaaS, Marketing agencies, Entertainment, eCommerce businesses, finance, health, logistics, and many more by being the Data and Tech partner they need!
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