Top-tier Data Engineering Services
From data lakes and delta tables to streaming applications and warehouses, we build the infrastructure that keeps your data reliable, accessible, and ready for AI. And when you're not sure where to start, our assessments give you a clear roadmap, a prioritized action plan, and an honest view of where your data actually stands.
Clients who trust us
Unlock the Full Potential of Your Enterprise Data
Accelerate Decision-Making
Turn Your Data Into Actionable Insights
Supercharge Data Operations
Optimize Performance, Quality, and Scalability
Empower Teams with Data Accessibility
Enable Collaboration, Build Trust, Drive Results
Reduce Costs with Smarter Data Management
Save Time, Cut Waste, Maximize Value
Comprehensive End-to-End Data Engineering Services
Data Architecture
Streamline data flow for informed decisions. Align with SLAs to deliver tailored data, precisely when and how you need it, enhancing efficiency and insights.
DataOps
Automate release processes, reducing risk and effort. Seamlessly move changes between dev, test, and production environments, ensuring efficiency and reliability.
Data Governance
Define data elements and enforce proper usage. Implement technical and administrative actions to maintain data integrity and maximize its value within your organization.
Data Fabric
Create a unified virtual data layer for centralized governance and seamless access. Leverage advanced tools like data catalogs and knowledge graphs to make your data accessible and actionable.
Data Mesh
Empower domain experts with scalable data mesh architectures. Enable distributed data ownership while streamlining ingestion, transformation, and preparation for actionable insights.
Data Lake
Design and implement data lake and lakehouse solutions to store, secure, and analyze vast datasets from across your enterprise. Streamline ingestion, governance, and advanced analytics for actionable insights.
ML Engineering
Streamline ML lifecycle management to accelerate AI project outcomes. Deploy scalable, production-ready ML models for impactful, business-wide results.
Data Pipelines
Build efficient data pipelines to enhance performance and accelerate insights. Automate ingestion with data connectors and low-code frameworks.
Data Strategy
Craft a data strategy that aligns with your goals, optimizing data governance, integration, and insights to drive smarter, business-focused decisions.
Customer Success Story:
MCIM: Data Driven Facility Management
MCIM needed a Data-driven platform to optimize facility management, enhance decision-making, and streamline workflows. Their existing system lacked the intelligence and agility to meet industry demands.
RTS Labs developed a scalable, data-powered solution with:
Proactive Maintenance: Preventing failures and reducing downtime.
Automated Workflows: Enhancing efficiency and accountability.
Real-time Analytics: Actionable insights for better decision-making.
Seamless Integrations: IoT and third-party system compatibility.
Where Every Engagement Starts
3-Week Engagement
Find Out Exactly Why Your Data Is Slowing You Down.
4-Week Engagement
Know If Your Platform Can Handle What's Coming Next.
3-Week Engagement
Find Out If Your Data Is Actually Ready for AI.
2-Week Sprint
Stop Guessing Whether Your Data Is Right.
Real-World Client Success Stories in Data Engineering
Kaleo Pharma
Challenge:
Kaleo Pharma faced fragmented data systems that delayed decision-making and limited actionable insights. Inefficiencies and data inaccuracies hindered their ability to innovate and address critical medical challenges effectively.
Solution:
RTS Labs implemented a unified, cloud-based data pipeline to centralize operations. By integrating disparate data sources, automating workflows, and ensuring consistent, reliable data, we enabled faster, more efficient processes and scalable solutions tailored to Kaleo’s needs.
Result:
Boosted Market Share: Leveraged data-driven strategies to strengthen competitive positioning and drive growth.
Lowered Costs: Streamlined infrastructure and automated workflows significantly reduced data management expenses.
Sharper Forecasting Precision: Real-time analytics provided accurate, actionable insights to support critical decision-making.
Accelerated Processing Speeds: Achieved a 30% reduction in data processing time, enabling faster, more agile operations.
Transform Your Business with Advanced Data Engineering
Deep Dive: Modern Data Platforms and Technologies
Our Expertise Unveiled
Supercharge your data with RTS Labs’ cloud platform expertise! Explore Airflow, Azure, dBT, Snowflake, and more.
Our Clients Say it Best
Momentum Holdings
- Carol Trotter | Momentum Holdings
Our Proven Data Engineering Approach
Supercharge your data – Make Smarter & Faster Decisions
We prioritizes solutions, not product promotion
Many excellent data platforms exist, but when you seek information or a demonstration, it can be challenging to discern whether the salesperson is genuinely focused on solving your problem or simply promoting their product. At RTS Labs, we possess extensive knowledge of diverse digital platforms. However, as a consulting firm, our primary objective is to identify the optimal solution for your business, rather than favoring one product over another.
We put your staff at the center of data transformation
Have you ever been frustrated by a data consulting firm that tried to overhaul your company’s processes for the sake of data? That won’t happen with RTS Labs. Our goal is to build data systems that work for your employees, so they can seamlessly incorporate data into their everyday workflows. We believe that prioritizing your people is just as important as prioritizing your data. This way, working with data is a breeze, and your team can achieve maximum efficiency.
Access elite data engineering without the high price tag
RTS Labs makes it easy for businesses to access top-notch data engineering without breaking the bank. You don’t have to hire a full-time data guru because we’ve got you covered with our on-demand services that can be customized to address your unique needs. Our team of experts is available to provide you with technical support whenever you need it, without worrying about expensive salaries or long-term contracts. Choose RTS Labs to take your business to the next level of data analysis.
We create data systems with team engagement in mind
Are you tired of investing in new data platforms only to find that your staff isn’t using them? Don’t waste another dime on unused technology. At RTS Labs, we’ve got your back. Our user-friendly data system design ensures that every member of your team is onboard and understands the value of the data being processed every step of the way. We won’t ask you to invest until you’re completely sold on our system. Join forces with RTS Labs and get a data system that actually works for your team!
We collaborate with your data team to maximize collective expertise
If your data team is already doing great work but is battling to overcome a particular problem, RTS Labs Data Engineers are ready to step in with a powerful, human-centric approach to problem-solving. Our team of data whizzes isn’t just made up of technicians. We’re also people-oriented problem-solvers who know how to tap into your data team’s exceptional skills and experience.
Frequently Asked Questions
What sets RTS Labs apart from other data engineering service providers?
How do you ensure data quality and security?
Can you handle large, complex data projects?
What is your data engineering process like?
Do you offer ongoing management of data systems?
What is a data engineering assessment?
What does the assessment process involve and what are the deliverables?
What is Data Engineering and why is it crucial for my business?
Data engineering involves designing, building, and maintaining the infrastructure and systems that collect, store, process, and analyze large volumes of data. It’s crucial because it ensures data quality, accessibility, and reliability, forming the foundation for advanced analytics, machine learning, and informed business decisions.
How does RTS Labs approach Data Governance?
RTS Labs implements robust data governance frameworks that define policies, processes, and standards for data management. This includes data quality, security, privacy, and compliance, ensuring your data assets are trustworthy and meet regulatory requirements.
What technologies does RTS Labs utilize for Data Engineering projects?
We leverage a comprehensive stack of modern data technologies, including cloud platforms like AWS, Azure, and Google Cloud, data warehouses such as Snowflake and Databricks, ETL/ELT tools like AWS Glue and Azure Data Factory, and orchestration tools like dbt. We also integrate with various vector databases for AI-driven solutions.
What is the typical timeline for a Data Engineering project?
Project timelines vary based on complexity and scope. However, similar to our Agentic AI projects, we aim for rapid delivery, often moving from initial assessment to a production-ready data solution within 90 days, focusing on tangible business outcomes.
How does Data Engineering support Agentic AI development?
Data engineering is foundational for Agentic AI. It provides the clean, structured, and accessible data necessary to train, operate, and continuously improve AI agents. Robust data pipelines ensure agents have real-time, high-quality information to make autonomous decisions and execute complex workflows effectively.
Can RTS Labs help with migrating our legacy data systems to the cloud?
Absolutely. Our data experts specialize in seamless migration of legacy data systems to scalable and cost-effective cloud environments. We ensure minimal disruption, data integrity, and optimized performance post-migration.
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Build scalable, efficient pipelines and optimize your data for analytics and reporting. Partner with RTS Labs to unlock smarter decisions and drive innovation.