Data Engineering & Consulting Services

Automate your data pipeline with data engineering services. Get infrastructure for automatically processing your data into data warehouses or data lakes.
5+years of experience in data engineering
40+clients worldwide
150+in-house employees
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Based on 9 clients reviews
EXCELLENT
5+years of experience in data engineering
40+clients worldwide
150+in-house employees

Our Data Engineering Services

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ETL & ELT Pipeline Design

We design and implement pipelines that move data from multiple sources to your centralized repository. Design ETL pipelines to save on cloud computing or go with ELT for faster processing. Ensure seamless data flow, reduce manual effort, and improve data accuracy.

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Data Warehouse & Data Lake Design

Our data engineers build scalable data warehouses and data lakes. Data warehouses carry our ETL pipelines, and data lakes are perfect for ELT. In any case, we create customized repositories optimized for your business goals.

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Data Engineering Consulting

Don’t know where to begin with data engineering? Or have a roadblock in the way? Our senior data engineers will help you out. Develop the implementation strategy and overcome any obstacle.

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Data Cleansing & Normalization

It’s not enough to collect a ton of data – the data must be good, too. That’s why we make your data reliable and clean. We’ll get rid of errors, duplicates, and inconsistencies in it, so you can start on a strong foundation.

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Cloud-Based Data Solutions

Migrate, manage, and optimize your cloud infrastructure. We work with all the major cloud platforms like AWS, Azure, and Google Cloud. Enable cost-effective and flexible data management.

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Data Streaming for Big Data

Want to get live insights from your data? We set up data streaming, so you can handle high-volume, high-velocity data streams. Enable real-time analytics and decision-making with Pub/Subs instead of APIs.

Say No to Manual Data Processing

People are good at many things, but not at moving data around. Automate your data workflow to make your data pipelines faster and avoid human errors.

Retail Data Streaming for Customers Behavior Analysis

AI-Based Behavior Analysis & Sales Forecast for Retail

AI-Based Behavior Analysis & Sales Forecast for Retail

AI-Based Behavior Analysis & Sales Forecast for Retail

We developed an AI solution that optimizes sales for our client in retail. The tool does behavior analysis and forecasts sales.

It extracts data of 3 million users in near-real time, all thanks to data streaming. We implemented asynchronous communication. Instead of collecting data via API, we introduced a pub/sub topic – which helps us process big data from the client.

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ETL Pipeline for a Document Assistant

Case

We trained an AI LLM to navigate company documents and answer technical support questions.

New documents can be added via API.

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What Clients Say About Us

They are a very bright team of people who care about their clients.

Aristek Systems has increased the client’ velocity by 25%. They have been efficient and flexible, ensuring an effective workflow. Their positive attitude, personable approach, and genuine interest in the client’s success have been hallmarks of their work.

The project management and communication are key strengths of their team.

Thanks to Aristek Systems, the production delivery of the first five versions of the platform has consistently met high-quality standards. Aristek Systems ensures excellent project management and communication. Their creativity, promptness, enthusiasm, and understanding approach are exemplary.

Aristek Systems' team is flexible and adapts to our needs.

The client is delighted with Aristek Systems’ work; they’ve delivered a platform with great uptimes and take care of any issue that arises. Aristek Systems uses Slack, Jira, Notion, and Google Meet to keep a communicative and punctual process. The client also praises their flexibility.

They are always responsive at all levels and thoughtful about what they are working on.

Aristek Systems met 100% of client requirements within the first month of implementation. The team increased the company’s market share by 45% within the first year of the product release. The customized solution software was successfully introduced to 50 states.

Сore of Data Engineering: ETL & ELT pipelines

We will help you design the pipeline that serves your business interests best.

Automate your data pipeline with data engineering services. Get infrastructure for automatically processing your data into data warehouses or data lakes.

ETL

Transform your data into a common object before loading it into the repository. Get enhanced control over data quality. Requires more preplanning but easer to manage.

  1. Extract
    Automate data extraction from all of your sources: CRM, ERP, analytics tools, and more.
  2. Transform
    Make your data consistent with cleansing, normalization, and other transformations.
  3. Load
    Load transformed data into the target database or data warehouse. It’s now ready for data analysis.

ELT

Load data first. Perfect for unstructured data, but works well with structured data too. Requires less preplanning, so it’s easier to start.

  1. Extract
    In any case, we’ll help you extract the data first. Automate extraction.from all of your sources, ETL or ELT.
  2. Load
    Load data into a specific table.
  3. Transform
    Transform data for your goal and make your data consistent.

Data Engineering Consulting

Not sure if you need data engineers or data scientists? Getting into data is hard, but we’ll keep it simple. We will help you navigate around the data world.

High-Level Strategy

Develop comprehensive data strategies aligned with your business objectives. Follow industry best practices and introduce technology to drive growth and get an advantage over competitors.

Roadblock Fixes

Identify and resolve data engineering roadblocks that hinder your productivity. Implementing targeted solutions that streamline processes and optimize data workflows.

Data Quality

Ensure quality data that’s accurate, consistent, and compliant across all data assets. Become confident in your decision-making and maximize the value of data investments.

Need Data Engineering Consulting?

Navigate complexities of data engineering with our guidance. Our experts will ensure scalability, reliability, and efficiency.

What’s So Good About Data Engineering

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01Centralize Data Management

Most companies accumulate tons of data from their CRM, ERP, Google Analytics, and other platforms. The hard part is to get it all organized, in one place – this is where data engineering helps. We will build you the infrastructure, so you can finally become a data-driven organization.

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02Automate Data Processing

Manual data processing is a thing of the past. Instead, automatically pipe data from all of your sources into a single repository. Then get it ready for analytics – automatically, too. Data engineering automates your workflow to save time, cut budgets, and avoid human error.

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03Scale Your Infrastructure Seamlessly

People can only process so much data. With data engineering, you can scale. We develop all data engineering solutions, from small and medium size to enterprise-grade infrastructure that processes big data.

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04Make Your Data More Reliable

For data insights, you need a ton of data. Not just any data, but quality data. That’s why we do rigorous data cleansing and quality assurance. With us, your data is accurate, reliable, and ready for analysis.

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05Improve Data Security

The less people handle your data, the more secure it is. Data engineering helps you minimize access points for employees. They will get analytic reports, but you can restrict access to raw data.

Not Just Data Engineering

You are in good hands, because we cover all sorts of data-related services. Whether you need help with analyzing data, building a model, or if you just want to move to the cloud – we are here to help.

Data Science

Artificial Intelligence

Machine Learning

Cloud Development

Database Design

Software Integration

Our Technology Stack

Discover the backbone of our data engineering prowess with our technology stack. From leading cloud services to powerful processing frameworks and specialized software, explore how we harness innovation to drive data-driven success.

Clouds

AWS

Google Cloud

Azure

Processing Frameworks

Hadoop

Hadoop is a distributed storage and processing framework designed to handle big data. It provides a distributed file system (HDFS) and a framework for the processing of large datasets across clusters of computers using simple programming models.

Spark

Apache Spark is an open-source distributed computing system that provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. It’s commonly used for big data processing and analytics.

Kafka

Apache Kafka is a distributed event streaming platform used for building real-time data pipelines and streaming applications. It’s designed to handle high throughput and offers features such as durability, scalability, and fault tolerance.

Other Data Engineering Software

Databricks

Databricks is a unified analytics platform that provides a collaborative environment for data science and engineering teams to work together. It’s built on top of Apache Spark and offers managed Spark clusters, interactive notebooks, and other tools for data analysis and machine learning.

Snowflake

Snowflake is a cloud-based data warehousing platform that allows users to store and analyze data using SQL queries. It’s known for its scalability, performance, and ease of use, particularly in multi-cloud environments.

Airbyte

Airbyte is an open-source data integration platform that helps organizations replicate data from various sources to data warehouses or lakes. It offers connectors for popular data sources and destinations, along with features for orchestration and monitoring.

DBT

DBT is an open-source tool that enables data analysts and engineers to transform data in their warehouses using SQL. It’s commonly used for building data pipelines and managing transformations as part of the data analytics workflow.

Interested in Data Engineering Services?

Our engineering services streamline data processing and analysis. Start getting data insights for your business.

How Do We Work

Get a Data Engineering Solution

Partner with us to access comprehensive data engineering services tailored to your needs. From data pipeline development to ETL processes and beyond, our team delivers scalable solutions to optimize your data workflows.

Hire & Manage Data Engineers

Simplify your recruitment process and ensure top-tier talent with our data engineer hiring and management services. We handle the end-to-end process, from sourcing candidates to onboarding and ongoing support, so you can focus on leveraging your data assets effectively.

Hire top 4% data engineers with Aristek Systems

If you want to take advantage of your data, it’s crucial to keep efficient data engineering in your organization. Data engineering creates infrastructure for all the other data services: data science, analytics, and more. Engineers facilitate effective data management. Meanwhile, companies collect more and more data, which also always becomes more complex. Without proper infrastructure data simply piles up, and nobody can extract insights from it. At Aristek Systems, we build pipelines, architecture, and infrastructure for your data. Essentially, we empower companies to make use of their data. Get a strategic asset to fuel your growth.

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