Data Engineering Services

Clean, Transform, & Unify Data for Analytics-Ready Insights

Transform raw data into valuable insights using Data Lakes, Delta Tables, Streaming Applications, Data Warehouses, and DataOps. Efficiently manage and integrate your data for smarter, faster business decisions.

Our Data Engineering Consulting Services

We turn data into clear insights for standout business performance. Our data engineering services boost your analytics efforts, managing and molding data flows for big-scale insights.

Data Architecture

Our expert team crafts scalable, cloud-based data architectures, simplifying access to insights with automated ETL, database optimization, and seamless system integration. Elevate your data analytics with our end-to-end data engineering services.

Data Lake Implementation

Transform your data management with Data Lakes, perfectly addressing product traceability, customer insights, and IoT reporting. Our solutions offer scalable storage and fast processing, unlocking key analytics and insights.

Data Pipelines

Streamline your data strategy with our specialized pipelines, enhancing efficiency through automated ETL/ELT processes. Leveraging advanced tools like Databricks and Informatica, we optimize real-time and batch data handling, aligning perfectly with your business needs.

Data Analytics

We provide data analytics consultancy, focusing on developing analytical methods and recommendation systems. By analyzing patterns and evaluating data quality, we offer strategic forecasts to guide your future decisions.

ML Engineering

Elevate your AI projects with specialized ML model management, streamlining the path from concept to global deployment. Our expertise ensures scalable, impactful models across your business worldwide.

DataOps

Optimize your data management and governance with our DataOps, minimizing downtime and risk. Experience enhanced data availability, streamlined CI/CD pipelines, and comprehensive testing and monitoring for superior enterprise data operations.

Our Process

Our streamlined, end-to-end process ensures efficient data engineering solutions tailored to your business needs, from initial strategy through to deployment and continuous improvement.

Strategic Planning & Requirement Analysis

We start by thoroughly understanding your business goals and data requirements. Our team works with you to create a strategic roadmap that aligns with your objectives, ensuring the solution we build is scalable, secure, and fits seamlessly into your existing ecosystem.

Data Modeling & Schema Design

 Once information gathering is complete, our data architects design data models that provide a clear structure for storing, accessing, and managing your data. We ensure the schema is optimized for performance, scalability, and data integrity, giving your team the foundation needed for reliable data-driven decision-making.

Increased ETL/ELT Pipeline Construction

We build efficient ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) pipelines that move your data seamlessly between systems. Our pipelines are designed for reliability, minimal latency, and ease of management, ensuring your data is always ready for analytics.

Data Quality Assurance & Validation

Ensuring your data is accurate, clean, and reliable is at the heart of our process. Through automated testing, validation routines, and rigorous data quality checks, we deliver datasets you can trust, so you can make informed business decisions with confidence.

Continuous Integration & Deployment (CI/CD)

Our CI/CD approach automates the testing, integration, and deployment of data pipelines. By using industry-standard tools, we ensure that updates are delivered faster, with fewer errors, while maintaining consistent performance across your data systems.

Expertise Tailored for Your Industry

Our specialized solutions are designed to meet the unique challenges of your sector, from tech startups to large enterprises, ensuring efficient, effective results every time.

Tech Stack Driving Our Data Engineering Solutions

We leverage cutting-edge tools and technologies to build scalable, efficient, and future-ready data solutions. Our expertise across a wide range of platforms ensures that your data infrastructure is optimized for performance, security, and seamless integration with your business goals.

Key Benefits of Our Big Data Engineering Services

Our big data engineering services are designed to unlock the full potential of your data, ensuring that your business stays competitive and data-driven in today’s fast-paced environment.

Enhanced Data Accessibility & Usability

We structure your data in a way that makes it easily accessible and usable across your organization. Whether it's through well-architected data pipelines ...or user-friendly dashboards, our solutions ensure that everyone—from data analysts to executives—can access the information they need to make informed decisions. READ MORE >

Accelerated Time-to-Insight

Our optimized data pipelines and real-time processing frameworks drastically reduce the time it takes to convert raw data into actionable insights. ...With faster access to high-quality data, your team can react to market changes, customer behaviors, and internal trends more swiftly than ever. READ MORE >

Cost-Effective and Scalable Solutions

By leveraging cloud-native infrastructure and industry-leading tools, we design solutions that scale effortlessly with your growing data needs. Our cloud-based, ...pay-as-you-go approach ensures that your data strategy is both cost-effective and future-proofed, providing maximum value with minimal overhead. READ MORE >

Data Security & Compliance

We prioritize data security at every step, ensuring that your data is protected through encryption, access controls, and industry-standard security practices.... Whether it's complying with GDPR, HIPAA, or other data protection regulations, we ensure that your data governance and security are never compromised. READ MORE >

Future-Proofing Your Data Strategy

Our solutions are designed with the future in mind. We build scalable architectures that are flexible enough to adapt to emerging technologies and evolving business ...requirements, ensuring that your data infrastructure remains relevant and resilient over time. READ MORE >

Let’s Engineer A Robust Data Foundation

Discover how we can transform your data setup into a streamlined, secure framework that unlocks powerful insights to guide your strategic moves. Schedule a free consultation with our data engineering consultants.

Real Results, Real Impact

See How Our Customers Succeed

Schlumberger (SLB)

Overcoming Big Data Challenge with Cloud-Bases Data Analytics

Schlumberger (SLB)

Folio3 partnered with Schlumberger (SLB) to build a scalable, cloud-based analytics platform on Microsoft Azure, addressing integration and processing challenges to deliver real-time insights, operational efficiency, and substantial cost savings.
Read More

KinShip

Redefining Pet Health Insights with Scalable Data Engineering for Kinship

KinShip

Folio3 collaborated with Kinship to transform pet health insights using advanced data engineering. We implemented a scalable PySpark-based solution on Databricks, enabling efficient data processing and enhanced insights into pet health.
Read More

AiGenics

Empowering Mental Wellness Through Scalable Data Engineering

AiGenics

Folio3 enabled AiGenics to transform its Moodology platform into a scalable, data-optimized solution, delivering real-time insights and secure data handling for more accurate mental health interventions, positioning the platform for future innovations.
Read More

Summit K12

Scalable solutions to turn massive data challenges into real-time insights

Summit K12

Folio3 designed a scalable, cloud-based architecture for Summit K12, utilizing AWS tools like EMR, Redshift, and Glue to enable real-time data processing and efficient ETL. This solution improved data handling, reduced report generation times, and provided faster, data-driven insights for educational decision-making.
Read More

AIDEN

Realtime Human-Automotive Communication through the Cloud

AIDEN

Aiden is a California based startup founded by leading innovators from Volvo Cars, who partnered up with Folio3 to develop a cloud-first system that lets cars share real-time data securely, making driving safer and more efficient.
Read More

InGenius Prep

Cloud-first Student Counseling Platform for College Admissions

InGenius Prep

Folio3 partnered up with InGenius Prep, a startup that empowers students to excel in competitive admissions, to digitize their business and revenue model sustainably. This process involved a Cloud-centric approach as one of the core requirements was high scalability from day 1.
Read More
Previous slide
Next slide

Frequently Asked Questions

Data engineers develop and maintain the data infrastructure that enables efficient data collection, storage, transformation, and access across an organization. They ensure reliable data pipelines and optimized systems for managing data flow.
While data analysts concentrate on analyzing data, extracting insights, and presenting findings through visualizations, data engineers are responsible for building and managing the underlying data systems and pipelines.
No data engineering is more than just ETL. Data engineering encompasses the complete process of designing, building and maintaining scalable data architectures. This includes data modeling, real-time processing, storage solutions, and data security.
Data engineering is crucial because it empowers businesses to transform raw data into structured, usable formats enabling them to extract insights, make data-driven decisions, and scale efficiently. Also, it ensures that data remains accessible, reliable and optimized for analysis and innovation.
In data engineering, data security and privacy are ensured through encryption, access controls, and regular audits. Moreover, secure data storage and transmission practices and compliance regulations like GDPR and HIPAA can also protect sensitive data.
For manufacturing companies, the most important data types include production data, equipment performance, supply chain metrics, and quality control data, as well as customer demand and inventory levels for optimizing operations and efficiency.
Data Engineering supports better demand forecasting by integrating and processing real-time sales, inventory, and market data, enabling predictive models that provide accurate and timely insights into future demand trends.
Data Engineering enhances financial risk management by aggregating and analyzing large volumes of transactional, market, and historical data, enabling real-time risk assessment, predictive modeling, and more informed decision-making.

Need Help With Data
Engineering?
 

We’d love to understand your goals and challenges - and help you identify opportunities to fully leverage the potential of your data journey.

Request A Call

Get in touch with our team to solve your queries.

en_CA