Data Engineering

Data Engineering Service Providers

In today's software-powered economy, data has become one of the most strategic assets. What was once considered an ‘afterthought’ is now a key asset for organizations and is often leveraged by competitors to differentiate themselves.

At Aegis Softwares, we help our clients leverage the power of data. We are one of the most established data engineering service providers with over 12 years of experience in data science, engineering and analytics.


We have built a solid technical team that has expertise in various data engineering analytics solutions that helps in:

  • Providing insight from data, including insights that improve customer acquisition and retention
  • Creating data products, including data catalogues, data pipelines and data leaks
  • Generating insights from big data
  • Solving problems related to data governance
  • Increasing revenue through data-based decision making
  • Providing real-time dashboards and reports
  • Boosting productivity by automating tasks
Data Work

Our data engineering consultancy goes above and beyond to provide solutions that solve your major business challenges and give you a competitive edge.

Problem-Solving Through Data Engineering

Sometimes businesses find valuable data but don't know what to do with it. Sometimes they try to make sense of it but can't, or they try but get no results. At Aegis Softwares, we help our clients make sense of their data. We use data science techniques, including machine learning, to understand and extract information hidden in data sets.

There are several levels in the data engineering process that could go wrong and can damage the end results. Our data engineers are problem solvers and they solve problems in your existing data operations or create a brand-new system to answer your challenges.

Data Mining

Data Mining

Sometimes, the superficial data collected can mess with the accuracy of the insights.

This is why our data engineers use customized algorithms to collect, index and classify data. We can mine data from non-financial sources such as email and social media streams and analyze it in the context of your core business.

Data Processing

Data Processing

Data can be prone to errors which is why we need to format and process it.

We extract essential data from log files, clean it and process it. We can analyze and integrate data from multiple internal and external sources, then organize it in formats and schemas that make sense to your business.

Data Analysis

Data Analysis

Adopting suitable algorithms and data science models for analysis is the key.

We use the processed data to identify patterns and trends and then they make predictions about future behaviour. The ultimate goal is to provide actionable insights to customers and clients. Our data engineers can also process your data into forms suitable for your business and combine it with other data as part of a larger data integration exercise.

Data Pipelines

Data Pipelines

There are instances within an organization where there is too much fragmented data.

We also build end-to-end data pipelines, bring all of the data together in one storage area and do away with disparate systems. Our team can train and tune your machine learning models to increase the accuracy and efficiency with a single view of truth.

We offer

Data Engineering Solutions We Offer

There are marked, specific expectations for most clients from our data engineering solutions. They need to create systems that can store data cheaply (by storing it in a single place for less money) but store it in a way that makes that data usable. They need systems that make it easy to analyze and drill into data, as well as systems that make it easy to share. They need to eliminate data redundancy and minimize the cost of storing data.

As one of the country’s top data engineering service providers, we do all of that and beyond. Expecting to create systems with minimal investment for storing and processing data is a given and our team of data engineering consulting experts work together with your team to solve these challenges and further create systems to ride on your advantages.

Data Engineering Consulting Services

Our data engineering consulting experts can work alongside your team to identify the areas to improve and suggest cost-effective models and tools to make it happen.

Data Architecture

We prepare and build ETL pipelines for multi-structured data and connect them with appropriate data tools for a seamless operation.

Data Lakes

We build centralized data systems that function as a single storage point from where all the programs access and store data.

Data Modelling

Our data engineering analytics solutions are best when you need to revamp your existing models and create new ones that cater exactly to your current expectations.

Data Quality Optimization

There is always this question about the reliability of the data quality that our experts will fix when designing the models and ETL pipelines.

Hire People

Our Capabilities in Data Engineering Services

Data engineering is a field that deals with designing, developing and maintaining scalable data pipelines, data processing systems and data platforms. Therefore, you need a wholesome team of people who are great at what they do. This is exactly what we offer at our data engineering consultancy.

Data Engineering

Our expert team includes experienced data scientists, data engineers, data architects, business intelligence analysts, data visualization experts, machine learning developers and data analysts.

  • Resources to transform raw data into actionable insights
  • Leverage programming languages like Spark, R, Python, Scala, Java, etc.
  • Work with the latest data science tools like Hadoop, Hive, Kafka, Tableau, etc.
  • Experts in ETL Development, data integration, data architecture and data modelling
  • Ability to create any queries using SQL and NoSQL tools.
  • Understand and implement the best practices in data engineering services.
  • Ability to write SQL, Python, MapReduce, Pig and Hive queries.
  • Experts in libraries including Apache Spark MLlib, Azure Machine Learning, Scikit Learn and Keras.
  • Hands-on knowledge of visualization tools like Power BI, Tableau, Data Studio

If you want to explore the possibilities of modernizing your data systems, then book a data engineering consulting session with us now.