Data Engineering Services That Are AI/ML Driven

Growing data volumes and silos create obstacles to data accessibility. We design scalable data solutions that seamlessly integrate your data, empowering you to make informed decisions at scale.

OUR CLIENTS

Trusted by Industry Leaders

Our data engineering solutions are trusted by leading enterprises worldwide. With a proven track record of delivering over 1000+ scalable and integrated systems, we empower businesses to harness the full potential of their data, drive efficiency, and make informed decisions that fuel growth.

Our Clients
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OUR SERVICES

Our Data Engineering Services

We specialize in helping large enterprises manage and optimize their data infrastructure. Our data engineering services enable seamless data flow, empowering smarter, data-driven decisions throughout your organization.

Cloud and DevOps Engineering
AI/ML Engineering
Data Integration
Data Platform Modernization
Data Visualization and BI Solutions
Big Data Analytics
Cloud and DevOps Engineering
AI/ML Engineering
Data Integration
Data Platform Modernization
Data Visualization and BI Solutions
Big Data Analytics
OUR PROCESS

Our Data Engineering Service Delivery Process in 3 Steps

We follow a structured roadmap to provide customized data engineering services. Starting with an in-depth evaluation, followed by an exploration of the best technologies, and ending with seamless execution, we ensure that our solutions are tailored to meet your business goals.

Step 1

Evaluate

Align data strategy with client objectives and business goals.

Identify gaps, limitations, and opportunities in current systems.

Evaluate the quality, volume, and accessibility of existing data.

Set clear KPIs for data initiatives and performance as success metrics.

Step 2

Explore

Tailor data architecture design solutions to fit business needs and scalability.

Select the most suitable tools and technology platforms.

Build a proof of concept for testing and validation through prototype solutions.

Refine and adjust based on client feedback and priorities.

Step 3

Execute

Develop and integrate the solution with existing infrastructure.

Implement data security measures for compliance and protection.

Conduct rigorous testing to ensure accuracy and reliability.

Continuously improve and scale the solution based on performance data.

CASE STUDY

Data Engineering-led Service Case Studies

Data Integration for Education Analytics

We collaborated with an education analytics provider struggling with fragmented data sources, including student performance, attendance, and engagement metrics. Intellivon’s Data Engineering team integrated data from learning management systems, assessment tools, and administrative databases, creating a unified platform for actionable insights.

  • 25% increase in overall program completion rates.
  • 30% improvement in early intervention accuracy
  • 40% reduction in operational costs
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Data Integration for Transportation & Logistics

A large transportation and logistics enterprise faced challenges due to the fragmentation of data across its fleet management, GPS tracking, and customer service platforms. Intellivon’s Data Engineering team implemented a comprehensive integration solution, synchronizing data in real-time and optimizing route planning and resource allocation.

  • 22% improvement in operational efficiency
  • 15% reduction in enterprise-level operational expenditures
  • 18% increase in service performance metrics
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Inventory Management with Predictive Analytics

We worked with a retail enterprise that faced frequent stockouts and overstocking, resulting in lost sales and increased operational costs. Intellivon’s Data Engineering team deployed predictive analytics tools to forecast demand, optimize inventory levels, and automate reordering processes. Our data-driven solutions improved stock availability and reduced waste, significantly lowering operational costs.

  • 40% reduction in lost revenue from stockouts
  • 30% decrease in excess inventory holding costs
  • 20% increase in profit margins
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Fraud Detection with AI-Powered Security

We partnered with a financial enterprise to address rising fraudulent transactions that were compromising security and customer trust. Intellivon’s Data Engineering team implemented AI-based fraud detection systems that utilize machine learning models to identify suspicious transactions in real-time. Our solutions significantly improved transaction monitoring, reducing fraud and boosting customer trust.

  • 50% reduction in financial losses due to fraud
  • 25% improvement in compliance with industry regulations
  • 60% boost in transaction monitoring efficiency and risk mitigation
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Big Data Analytics for Legal Tech

Intellivon collaborated with a prominent legal tech firm to optimize its data management and analytics capabilities. By leveraging Big Data Analytics, we implemented a comprehensive strategy to unlock the potential of their large datasets, enabling data-driven decision-making and enhancing operational efficiency within their legal research and case management systems.

  • 40% acceleration in research workflows
  • 30% reduction in firm-wide operational expenses
  • 65% improvement in case management efficiency
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View more Projects
USECASES

Empowering Business Outcomes with Key Use Cases

Financial Intelligence

We develop advanced data platforms for credit scoring, fraud detection, transaction monitoring, and market risk modeling. These solutions are designed for high-speed processing and comprehensive data lineage tracking, ensuring regulatory compliance. Our platforms enable financial institutions to make faster, data-driven decisions while minimizing risk.

Customer 360

Our solutions integrate data from apps, websites, in-store systems, and third-party sources to create a unified customer data platform. This enables powerful use cases such as churn prediction, behavioral segmentation, and highly personalized customer experiences, driving improved retention and more targeted marketing strategies.

Supply Chain Analytics

We implement real-time data integration and analytics to forecast demand, optimize inventory, and detect anomalies across logistics operations. Our platform offers end-to-end supply chain visibility, enabling organizations to make informed, proactive decisions and achieve operational efficiency throughout their entire supply chain.

Cloud Data Migration

Intellivon ensures a smooth, zero-downtime migration of data assets to modern cloud platforms. We manage the entire process with automated validation to ensure data accessibility and accuracy, all while maintaining uninterrupted business operations and minimizing disruption during the transition.

Health Data Exchange

We build interoperable systems that aggregate data from Electronic Health Records (EHRs), lab systems, and external providers, supporting clinical decision-making and maintaining longitudinal patient records. Our platforms comply with healthcare standards, including HL7 and FHIR, ensuring seamless data exchange and enhancing patient care.

IoT Data Analytics

We design scalable analytics platforms for processing high-velocity data from sensors, machines, and connected devices. Our solutions enable use cases such as predictive maintenance, anomaly detection, and real-time operational visibility, optimizing energy usage and operational efficiency for industries like manufacturing, utilities, and smart cities.

WHY CHOOSE US

Why Intellivon Is Your Trusted Partner for Data Engineering

With over 11 years of experience and more than 1,000 projects deployed, Intellivon delivers data engineering solutions that transform your business. We help you integrate your data infrastructure, ensuring results that drive growth and efficiency.

AI/ML Expertise

Intellivon leverages advanced AI and ML technologies to create scalable, intelligent solutions that unlock actionable insights, automate decision-making, and drive operational efficiency for your business.

Data Integration and Streaming

We specialize in seamless data integration and real-time streaming, ensuring a smooth data flow across systems and platforms that enables timely insights and optimized decision-making for your business.

Expertise in FOSS

By utilizing open-source technologies, we deliver cost-effective, flexible, and scalable data engineering solutions, providing full control and customization without the high costs of proprietary software.

Industry-wide Data Experience

With extensive experience across industries like healthcare, finance, and e-commerce, we deliver tailored data solutions that meet specific business needs, driving growth and operational efficiency.

Data-Driven Solutions

We provide data-driven solutions that handle large-scale data, complex queries, and high-speed analytics, ensuring your business can manage, process, and analyze vast amounts of data quickly and reliably.

Accelerated Time-to-Value

Our agile delivery methods and automation accelerate project timelines, enabling your business to realize value from data initiatives faster and stay ahead of the competition.

500+

Successful AI-driven projects

11+

Year of expertise in delivering AI Solutions

40+

AI, ML, and data tools mastered

200+

Dedicated AI experts

TECHNOLOGY WE USE

Our Data Engineering Tech Stack

From data collection to processing, storage, and analytics, our tech stack seamlessly handles every aspect of your data lifecycle.

Data Collection & Ingestion

Apache Kafka

Apache Nifi

AWS Glue

Talend

Apache Flume

Data Storage & Management

Amazon S3

Google BigQuery

Hadoop HDFS

Snowflake

MongoDB

PostgreSQL

Data Processing & Transformation

Apache Spark

Apache Hadoop

Apache Flink

AWS Lambda

dbt (Data Build Tool)

Matillion

Data Orchestration & Workflow Automation

Airflow

Luigi

AWS Step Functions

Data Analytics & Visualization

Tableau

Power BI

Looker

Apache Superset

Kibana

Data Governance & Quality

Collibra

Alation

Great Expectations

Talend Data Quality

Data Security & Privacy

Apache Ranger

AWS KMS (Key Management Service)

Vormetric

GDPR Compliance Tools

Cloud & Infrastructure

Amazon Web Services (AWS)

Microsoft Azure

Google Cloud Platform (GCP)

Kubernetes

Docker

Cloud & Infrastructure

Amazon Web Services (AWS)

Microsoft Azure

Google Cloud Platform (GCP)

Kubernetes

Docker

Machine Learning & AI Integration

TensorFlow

PyTorch

MLflow

Amazon SageMaker

Google AI Platform

TESTIMONIAL SECTION

What Our Clients Say About Us

50 %

Faster modernization cycle

30 - 40 %

Lower engineering costs

80 %

Fewer bugs and reworks

50 %

Faster launch timelines

Our company was struggling to process large volumes of financial data in real-time, which resulted in delays and errors in decision-making. Intellivon's data engineering services helped us optimize our data pipelines with Apache Kafka and Spark, enabling us to handle real-time data efficiently. The result was improved data accuracy and faster analytics, allowing us to make quicker, more informed decisions.
John T., CTO
We faced significant challenges with fragmented data sources, making it hard to get a comprehensive view of patient data. Intellivon's team helped us integrate various data sources into a single, unified platform. With their expertise in AWS Glue and Talend, we now have a seamless data flow that allows for real-time data updates and better patient insights. It's made a huge difference in our operational efficiency.
Emily R., Head of Data Operations
Managing and analyzing customer behavior data across multiple platforms was becoming a nightmare for us. Our existing data warehouse was slow and prone to inconsistencies. Intellivon revamped our data storage and processing with Snowflake and Apache Flink, providing us with faster query responses and more accurate customer insights. Now, we can make data-driven decisions faster, which has directly improved our conversion rates.
Michael S., CEO
As a growing retail company, we struggled with ensuring consistent data quality across our multiple sales channels. Intellivon helped us implement a robust data governance framework using Collibra and Great Expectations, which cleaned up our data and ensured its accuracy. Our sales forecasting has become much more reliable, and we now have a more accurate understanding of inventory and demand.
Sophia L., Director of Data Engineering
Our team was facing significant delays due to inefficient data integration between our supply chain and logistics systems. Intellivon worked with us to design a custom data pipeline using Apache Nifi and AWS Lambda that automated many of our manual processes. As a result, we’ve seen a 40% improvement in data flow speed and have reduced operational costs significantly.
David P., CIO
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FAQ
Q1. What is Data Engineering, and why is it important for businesses?

Data engineering is the process of designing, building, and maintaining systems that collect, store, process, and analyze data. It’s crucial for businesses because it ensures that data is organized, accessible, and optimized for analysis, enabling informed decision-making and driving business growth through data-driven insights.

Q2. How does Data Engineering services help improve data flow?

Intellivon’s data engineering services optimize data flow by implementing scalable data pipelines, ensuring seamless integration between data sources, and using cutting-edge tools like Apache Kafka and AWS Glue. This results in faster, more reliable data processing, allowing businesses to access real-time insights and make quicker decisions.

Q3. What technologies does Intellivon use for data storage and management?

Intellivon utilizes advanced technologies, including Amazon S3, Snowflake, and Hadoop HDFS, for scalable and secure data storage. These platforms ensure that data is stored efficiently and is easily accessible for analytics, enabling businesses to handle large datasets with minimal latency and maximum security.

Q4. How can data engineering improve business decision-making?

Data engineering improves business decision-making by providing clean, organized, and actionable data. With the right infrastructure in place, businesses can analyze data in real-time, gain insights into customer behavior, and make predictions that guide strategy, all while reducing the time and effort spent on data management.

Q5. What is the role of data governance in data engineering services?

Data governance ensures that data is accurate, consistent, and secure. Data engineering involves implementing policies, tools, and frameworks, such as Collibra and Great Expectations, to maintain data quality. This is essential for compliance, data privacy, and ensuring reliable, high-quality insights for decision-making.

Q6. What are the key benefits of using cloud-based data engineering services?

Cloud-based data engineering services offer scalability, flexibility, and cost efficiency. By leveraging cloud platforms like AWS, Azure, and Google Cloud, businesses can scale their data infrastructure as needed, ensuring high availability, data security, and real-time processing without the heavy upfront costs of traditional on-premise systems.

Q7. How does Intellivon ensure data security in engineering services?

Intellivon ensures data security by implementing robust encryption, access controls, and compliance with industry standards. We utilize tools like AWS KMS and Apache Ranger to safeguard data at every stage, ensuring that it remains secure, private, and compliant with regulations such as GDPR and CCPA.

Q8. What are the common challenges in data engineering?

Common challenges in data engineering include data fragmentation, slow processing, and maintaining data quality. Intellivon addresses these by implementing seamless data integrations, real-time processing with Apache Spark, and robust data governance frameworks, ensuring smooth data flow and high-quality, actionable insights.