Data Engineering Consulting Services
Looking for guidance on building new data pipelines? At SysGears, we provide data engineering consulting services tailored to your current project stage and operational needs. Our expertise helps businesses build maintainable, secure, high-performance data processing solutions for batch data flows, streaming, or both.
Who We Are
We are SysGears, an expert software development company with over 350 corporate clients in our portfolio, a rich AI/big data technology stack, and more than 110 experts on the team. We draw on over 16 years of industry experience to consult businesses on data engineering initiatives. Whether a project involves building pipelines, preparing data for AI agents, or designing data infrastructure for complex, large-scale software platforms, our specialists can help.
With our data engineering consulting services, you get:
- Proven data engineering expertise
- Clear, transparent communication
- Flexible engagement options
- Implementation assistance as needed
Recognized for Engineering Excellence
Clutch
Top Scala
Developers
Aciety
Mobile Devices
Development
Upwork
100% Job Success
Aciety
Cloud Computing
Development
Upwork
Top Rated Plus
Aciety
System Architecture
Development
What Is Data Engineering and How Businesses Benefit From It
Data engineering is a software development area focused on building and maintaining systems that collect, store, process, and make information available for further use. It typically involves building pipelines and infrastructure to process large volumes of data in batches or in real time, transforming information into usable insights. Below are some examples of how medium-to-large businesses can use data engineering capabilities to support their operations and technology initiatives:
LLM Training and AI Use
Good AI models need good data to train and work with. Categorize and structure your data to support generative AI model training and provide AI agents with reliable information, helping improve processing efficiency and the accuracy of results delivered to end users.
Efficient Data Storage
Reduce the overhead costs of storing, updating, and accessing your business information through a tailored storage system built around your data needs. Select the most vital data already circulating within your existing IT systems, configure data ingestion pipelines, and store information using the most suitable data warehouse solution for further use.
Large-Scale Analytics
Build complex analytics systems that draw on multiple data sources, identify and account for edge cases and statistical outliers, and visualize findings in a clear, viable format for your own use or as a service to other businesses.
Risk Monitoring and Fraud Detection
Spot warning signs or anomalous behavior patterns and alert the appropriate teams to review the issue and take action before major damage is done. While these indicators may not always detect true fraud, they may help you identify and prevent malicious behavior early.
Customer Experience Enhancement
Use vast amounts of historical data to analyze customer behavior, identify factors associated with churn, predict trends or major preference shifts, and adjust your business operations, products, and services accordingly.
IoT and Predictive Maintenance
Gather, structure, and analyze real-time data from cameras, trackers, sensors, and other devices in highly connected systems. Develop software solutions that use data from connected devices to enable new business models, or identify equipment maintenance needs before failure and business interruption occur.
The Data Engineering Consulting Services We Provide
Strategy, Architecture, and Technology Selection
We can join your efforts at early stages of the project, helping you select the right toolkit and approach to solving your current challenges. Our data engineering consultants can help validate initial concepts, recommend a suitable architecture and technology stack, estimate resources required for the project, and craft a customized development plan. Our expertise can help you reduce uncertainty and make the development process more predictable.
Technical Implementation Guidance
Already in the engineering phase but having trouble putting your ideas into code? Our experts can step in, analyze your current progress, and provide assistance based on the challenges you are facing. We can recommend specific dependencies that may be better suited for your goals, suggest changes to the codebase that may offer better performance and processing accuracy, or make other practical engineering recommendations.
Connection and Integration Assistance
Different components of a data pipeline don’t always work well together out of the box, instead requiring compatibility adjustments, data structuring, correct API calls, or entirely new modules. Our data engineering consultants can assess your integration needs and guide you through the steps to build reliable, maintainable software systems, whether they consist only of internal platforms or incorporate third-party solutions as well.
Technology and Data Migration
Whether you are transitioning from one set of technologies to another to optimize your data pipelines or moving your data to a new platform, we can help make the migration as smooth as possible. With our data engineering consulting, implement a phased platform transition, set up reliable rollback and recovery controls, and configure the new environment for a streamlined migration.
Data Engineering System Audit
Our experts can review your technology stack, data quality, and pipeline codebase, looking for critical issues, performance and cost optimization opportunities, or other improvements that can be made. The result is a clear, actionable list of recommendations that may include dependency updates, code refactoring, additional technology suggestions that can benefit your infrastructure, data-structuring adjustments, or other changes.
Data Pipeline Support & Maintenance
If you’ve inherited a data engineering system that is difficult to maintain, we can help. SysGears has extensive experience with long-term software support, including data pipelines, developer tools, and complex proprietary solutions developed by other engineers.
Why Choose SysGears as Your Data Engineering Consulting Company
AI/ML and Big Data Expertise
We specialize in projects that incorporate AI functionality and complex data pipelines, and our experts understand the development practices that work. Our consultants have practical experience with architecture planning for processing performance, safe AI integration and configuration, and other key aspects of data engineering solutions. We can also reliably navigate edge cases or unique limitations in advanced technology projects.
Hands-On Technical Mastery
SysGears data engineering consultants are senior software developers with a rich skill set and multiple commercial projects under their belt. They understand not just broad data engineering principles, but also realistic resource requirements, how to handle edge cases, line-by-line implementation, and the skills each project needs.
Business-First Approach
Every recommendation our experts make throughout the consulting process is guided by how effectively it solves your business challenges and navigates the limitations you face. In practice, this means we carefully consider each choice for your unique case, challenges, and opportunities, without pushing for “popular” technologies.
Cross-Industry Experience
The regulations, constraints, formats, and processing requirements of data can vary significantly between individual businesses and the fields they operate in. We’ve worked with a variety of industries, from healthcare and energy to transportation and ecommerce, bringing our expertise to help solve the unique challenges of each customer we work with.
Flexible Engagement Models
You can engage an individual SysGears data engineering consultant to augment your team and navigate blockers or key decisions, onboard a dedicated team of SysGears experts to cover a specific stage of the project or workflow, or fully outsource development, integration, or data pipeline setup to our specialists. Depending on your current priorities and needs, we can find the right form of our partnership at the earliest stages of the project.
Ready to jumpstart your data engineering project or cross a hurdle that’s been blocking your progress?
Industries We Work With
Examples of Our Work
Big Data Software for Dental Facilities
The client approached us with an existing solution that connected to and collected data from dental clinic CRMs, but was inefficient at subsequently processing said data. We conducted in-depth research into the current version to understand existing functionality and built a new data model and system architecture for improved performance. We also handled the tech leadership of the project, consulting and coordinating with stakeholders and other specialists, and dynamically changed our team composition to align with project demands at different stages of development.
AI-Powered Home Care Management Software
We developed a platform for home care agencies that integrates AI into call analytics to improve employee performance and overall service quality. We identified main product features early, prepared a detailed development roadmap, and selected the AI solution that best aligned with our client’s goals while fitting within resource constraints. We then proceeded to cover the rest of the SDLC, including project management, UI/UX and architecture design, full-stack development, and quality assurance.
We enhanced the customization possibilities and performance of our client’s smart mobility platform that analyzes real-time data from numerous IoT devices simultaneously. Our experts worked on the solution’s microservice architecture to enable parallel processing of multiple data streams, improving resource utilization and operational speed. We also developed several additional functional modules and customized existing ones to match the client’s challenges and opportunities, making the platform more flexible across a variety of workflows.
Customer Reviews
5.0
“SysGears developed and tested the code, held handover meetings with the Persist AI software engineering team, and addressed follow-up questions to make sure we had everything we needed to do later feature additions and maintenance. ”
Christopher Shelner
COO, PersistAI Formulations Corp
5.0
“SysGears’ commitment went beyond completing tasks. They were genuinely invested in the project’s overall success, ensuring that their efforts aligned with our vision and goals. Their top-notch skills in Scala and ability to support the full product development lifecycle were exactly what we had been searching for.”
Nathan Leyton
CTO, Call Handling Services Ltd
5.0
“SysGears’ work has reduced manual data entry by 40%, increased patient engagement metrics by 20%, and reduced operational costs by 20%. The team delivers on time, responds to needs, and demonstrates professionalism. Their expertise, proactiveness, and dedication to innovation are impressive.”
Senior Engineering Manager, Health Tech Software Company
Our Data Engineering Technology Stack
Programming Languages
Scala
Java
Python
JavaScript
TypeScript
Databases
MS SQL
PostgreSQL
MySQL
Cassandra
MongoDB
HBase
Neo4j
Redis
Hadoop
S3
Queues
Kafka
RabbitMQ
SQS
SNS
EventBus
PubSub
Platforms
Apache MESOS
Databricks
Pentaho
AWS & GCP data solutions
ELK stack
Apache Spark
Apache Airflow
Akka
Pekko
Pandas
Modin
Cloud Platforms and Tools
AWS Kinesis
AWS Glue
AWS OpenSearch
AWS S3
AWS RDS
GCP BigQuery
GCP CloudSQL
GCP Pub/Sub
GCP VertexAI
Azure Data Explorer
Azure Databricks
Data Visualization Tools
Kibana
d3js
How To Start Working With SysGears
Have an idea you’d like to discuss? Tell us what you are working on through our contact form, on-page chat, or email at info@sysgears.com. Alternatively, book a meeting directly by selecting a time that works for you using this link.
During our first call, we will talk about your project goals, existing data infrastructure, and technical limitations you are looking to solve. If there is a need to exchange sensitive information, we can sign an NDA before sharing any confidential details. Once we have settled on the project scope and our role in it, we finalize the necessary agreements and begin our cooperation.
For more details on what the start of the engagement looks like, have a look at this page.
FAQ
What do data engineering consulting services include?
It depends on what you need from them. In general, a consulting engagement involves discussing your current goals, challenges you are facing, and risks you want to avoid. After that, the data engineering consulting partner works with you to recommend software architecture, implementation approaches, optimal integrations, and other project aspects to help you build a system that achieves your business objectives.
At SysGears, we tailor each consulting project to the individual client’s needs, ensuring our guidance fits and stays relevant to their specific case, tech environment, and any limitations they may encounter.
When does it make sense to bring in data engineering consultants?
Typical scenarios that warrant data engineering consulting include the following examples:
- You are scaling up operations, and the volume of data you are generating exceeds your ability to process it effectively with existing software.
- You need reliable data infrastructure fast, without the time it takes to build a dedicated data engineering team and validate concepts internally.
- You are looking to connect disparate data from multiple systems into one business ecosystem or pipeline, but lack the expertise to do so.
- You need to minimize business disruption when introducing a large update or migrating operations and data to a new environment.
Our data engineering consultants are ready to help streamline your journey through these or other challenges. Contact us, and we’ll talk about your needs.
How can artificial intelligence help solve data engineering challenges?
AI in a data engineering project can be used to assess initial data to see how best to structure and process it, identify bottlenecks in said processing so they can be mitigated, or suggest a development pathway for a stronger data analysis subsystem. It can also be helpful in highlighting important insights that contribute to effective cost assessment, project planning, architectural decisions, implementation, and integration.
At SysGears, we ourselves use AI to automate and streamline routine, repetitive processes, while key decision-making is always left to the expertise of human engineers and stakeholders.
We have limited data expertise in-house. Can we still work with a data engineering consulting company?
Absolutely. We adjust our approach to the consulting engagement based on your available expertise and resources, which we discuss together in the initial stages. We can also reinforce your in-house development capacity with our own data engineers if you decide that you could benefit from additional skilled developers.
Why should we partner with a dedicated data engineering company instead of hiring in-house?
Hiring a data engineer in-house can take significant time and resources: building a pool of candidates, selecting the best among them, training or onboarding them, etc. That is why it may not be the optimal choice if your project doesn’t require a full-time specialist. With some strategic and technical guidance at key points in the project, your team may be able to implement the required data pipelines using existing engineering expertise, which can be more cost-efficient long-term.
At SysGears, we can assess your project and help you identify whether data engineering consulting is sufficient to solve the challenges you are facing, or you may need additional hands-on expertise, both of which we can provide.
Are you tied to a platform vendor, and how do we avoid lock-in?
We are a software development company and data engineering consultancy not affiliated with any data engineering platform provider. We recommend any technologies, platforms, or solutions throughout our partnership because they may be the best fit for the challenge at hand, based on our experience and current best practices. If vendor or technology lock-in is a concern, we can recommend architectural approaches that reduce unnecessary platform dependencies, such as open data formats, standardized interfaces, and portable components where practical.
What happens to cost and timeline when new data sources or requirements appear mid-project?
We sit down and re-evaluate together. We pride ourselves on transparent communication with our clients throughout every part of the project, and if new requirements emerge, we assess their potential impact on scope, cost, and timeline before agreeing on the next steps. For instance, if the arising needs call for additional developer capacity, we can offer to onboard SysGears engineers to reinforce your team in order to help us stay aligned with the project timeline.
Boost your business with custom software
Tell us about your business needs and we’ll suggest a solution
Thank you!
We have received your request and will get back to you within 1 business day.
