Data Engineering Services

Accelerate business growth with valuable insights

Giving businesses competitive advantage by putting data to work

Get your data challenges met with expert data engineering services

Our data engineering services assist businesses in overcoming data challenges. They aim to improve user satisfaction and drive business strategies. Get expert help in:

Analyzing structured, unstructured, and semi-structured data
Overcoming siloed and expensive in-house data infrastructure
Scaling your data processing capacity

Transforming big data pipelines for intelligent & agile analytics
Improving data quality and governance
Data lifecycle management

Data engineering services we offer

Data Engineering Consulting

We help you make full use of your data. We assist you to strategize, organize, and manage data better. In addition, we develop expert solutions & predictive systems to generate quicker insights. This enables you to get the highest ROI and drive revenue growth.

Data Collection and Quality

We help pull, cleanse, and integrate all types of data from different sources. We use both streaming and batch-processing models for this purpose. We also specialize in building automated data quality solutions to help with data correction, enrichment, and removal of duplicates.

Data Storage, Integration and ETL/ELT

We extract, transform, and load data into various data systems. The choice of the data system depends on your requirements, type, and volume of data. Our team is also competent in cloud data lake and warehouse implementation.

Data Migration

We assist in migrating data from on-premises or legacy data systems to any desired platform. Our services ensure that no data is lost, and there is minimal downtime. This helps ensure daily business operation without interruption.

Data Pipelines & Orchestration

We build efficient data pipelines to improve query performance and generate quicker insights. Our team assists in automating data ingestion from diverse sources utilizing data connectors and low-code, no-code frameworks. We also process data in batch and real-time using big data and cloud orchestration tools and techniques.

DataOps

We offer data management and governance to mitigate risks and reduce downtime. Our DataOps services ensure high availability, testing, and monitoring of data operations.

Data Architecture

We assist in implementing a highly accessible architecture. The architecture is scalable, secure, and offers a complete view of data.

Data Analytics

Our services do not stop with just data structuring and processing. We offer a complete service that lets you convert data into insights. Our service helps you to identify patterns and trends accurately. Thus, enabling you to predict the market and adapt accordingly.

Big Data Consulting

We provide big data analytics services to analyze large volumes of structured, semi-structured, and unstructured data. Our services help you discover patterns, correlate data points, and uncover hidden insights.

Performance Optimization

Our services consist of Query optimization, database indexing, and tuning. In addition, we help tune distributed system performance as well.

Data Modeling & Design

Our data modeling approach ensures that your data is dependable. It helps lay the foundation for the creation of impactful ML solutions.

Data Governance

Data governance program that ensures data accessibility, security, and consistency. We design the framework to seamlessly integrate with your business processes. It helps promote higher user adoption and faster results.

Data Security

Data security services to ensure the security of data across the business. Our team helps you encrypt data at rest and in transit. We also set up access control and authentication mechanisms. It provides you with total control over access to your data.

How can our data engineering service benefit you?

Improve Operational Efficiency

Faster & Accurate Customer Insights

Improve User Satisfaction

Boost Sales and Profit

Data engineering tools and technologies

Cloud

AWS

Azure

Google Cloud

Snowflake

Data Integration Tools

Databricks

Azure Synapse

Snowflake

Hadoop

Message Brokers (Kafka, RabbitMQ)

Programming

Python

Java

Spark

Databases

On-Premises SQL

Azure Synapse

Snowflake

PostgreSQL

Amazon Redshift

Data Visualization

Matplotlib

Power BI

Tableau

Orchestration

Kubernetes

Docker Swarm

Other related services

Data Science Consulting

Get faster actionable business insights with the help of data science and advanced ML & AI techniques.

Data Visualization

We empower your team to make quicker and more informed decisions. We develop visually engaging and user-specific interactive dashboards. This is accomplished through tools such as Power BI and Matplotlib.

Predictive Analytics

We develop tailored solutions for predictive analysis, enhancing your forecasting capabilities.

Our success stories

BI & Data Warehouse Services for Manufacturing Company

Customer is a leading manufacturer of digital displays including signboards, school scoreboards, stadium video systems, roadside LED signs, and related solutions. The customer had a significant amount of data stored in their ERP and other applications. To address their needs, we created ETL packages, designed dimensional models, constructed an enterprise data warehouse, and developed cubes. Additionally, we assisted in building a variety of reports, dashboards, and scorecards.

Data Modeling, Development, and Business Analysis for a Manufacturing Company

The customer, a leading supplier of processing technology across various industries, had specific BI needs concerning report generation and data integration. To meet these requirements, we developed a data warehouse, integrated data from multiple sources, and created customized reports.

Our engagement options

Dedicated Remote Team

You can hire dedicated resources for your data engineering project. This is useful in the absence of an in-house team. It provides you access to skilled resources. You don't have to incur heavy costs of building and maintaining an internal team.

In this engagement, our team of engineers will work with you to understand your project requirements. They will lead the project scope and development process. The goal is to create a solution that aligns with your requirements.

Team Augmentation

Our data engineers can help you when you need additional resources to meet deadlines. You can also leverage them to bridge the gap in technical expertise or experience. You can scale up or down the team size according to your changing project needs.

Our methodology

Our method ensures your data is structured, scalable, and ready for analysis. We follow a rigorous, step-by-step process tailored to meet your unique business requirements.

Assessment

We begin by understanding your business objectives, data sources, and existing infrastructure. Our experts assess data quality, identify gaps, and define the scope of the project.

Data Architecture Design

With a clear understanding of your needs, we design a robust data architecture. This involves creating scalable data pipelines, selecting appropriate storage solutions, and ensuring seamless integration with existing systems.

Data Ingestion and Transformation

We implement automated data ingestion processes, ensuring smooth data flow from various sources. Our transformation layer cleanses, enriches, and formats data to make it analytics-ready.

Data Storage and Management

We deploy cloud-based, on-premise, or hybrid solutions tailored to your needs. We also implement data governance policies to ensure data is organized, accessible, and secure.

Orchestration and Automation

We set up orchestration frameworks to automate data workflows, reducing manual intervention and enhancing reliability. This step ensures that your data pipelines are resilient, scalable, and can handle increasing data volumes.

Deployment and Monitoring

We deploy data engineering solution into your environment and establish monitoring systems to track performance, identify bottlenecks, and ensure continuous optimization. Our team provides ongoing support.

Why choose us for data engineering services?

More than two decades of expertise in providing end-to-end data analysis services

Experience in multi-industry implementation

Flexible engagement model

Experienced in various cloud platforms, open-source technologies, and data technology stack

A large team of skilled consultants and engineers

FAQs

What is data engineering?-

Data engineering involves collecting and transforming large volumes of data. This process prepares the data for analysis and data science.
Why do I need data engineering consulting?+

Data engineering services help you overcome manual processes. These processes are often time-consuming. It helps replace expensive in-house data infrastructure. It does so with efficient and automated data-obtaining and processing systems.
Can Congruent help in building a comprehensive data lake / data warehouse?+

Congruent has a highly skilled team. We have been providing end-to-end data analysis services for about two decades. We develop data warehouse solutions that integrate seamlessly with your IT ecosystem. These solutions help bring incremental efficiency to your BI.
What is the difference between data engineering and data science?+

Data science is a multidisciplinary field. It employs methods from statistics, applied science, and computer science to analyze structured & unstructured data.

This in turn helps to extract valuable insights. Whereas, data engineering involves establishing pipelines or procedures. These pipelines or procedures help to move data from one instance to another.
What is a Data Pipeline?+

A data pipeline consists of multiple processes. These processes are designed to accomplish three main tasks: extraction, processing, and loading of data.
How can a data engineer help my business?+

A data engineer assists in the design, development, and maintenance of data platforms. These platforms include components like data framework, data processing applications, data storage, and data pipelines. It enables businesses to extract useful information from data, and make quicker decisions.

Let our data engineering expert help you

Tell us your data engineering needs. We will get back to you quickly.