Data Engineering

Ingest, cleanse, transform, master and store data from varied data sources using cloud-native scalable yet cost-effective technology.

Turn Data Into Decisions,
Drive Business Growth

Data engineering enables you to harness the full potential of your data, ensuring it’s scalable, reliable, and ready to drive informed decisions. Here’s how Incentius supports your journey:

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Strong Data Architecture

We design and implement scalable data architectures that seamlessly collect, integrate, validate, and deliver data to the right stakeholders, ensuring accuracy and accessibility.

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Scalable Data Platforms

Our experts create platforms capable of storing and processing vast data volumes. These platforms ensure smooth data flow and support real-time analytics for faster, smarter decisions.

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Efficient Data Pipelines

We design robust data pipelines that aggregate data from multiple sources, enabling advanced analytics, insightful visualizations, and actionable intelligence.

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Strategic Data Planning

Collaborating closely with your team, we develop a scalable, data-driven strategy tailored to handle growing data volumes and ensure sustained success over the long term.

Why Partner with Us for Data Engineering?

If you have a Generative AI model or a use case ready, we specialize in deploying it into a robust production environment. Our focus is on operationalizing your model efficiently, securely, and at scale, ensuring it delivers consistent value for your business.

Business Benefits

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How Incentius Supports Clients in Data Engineering?

At Incentius, our Data Engineering practice is dedicated to designing and building resilient systems for seamless data ingestion, collection, storage, and analysis. This critical discipline underpins data-driven decision-making across industries, serving as the backbone of modern data science initiatives.

Our expert Data Engineers enable organizations to access and utilize data effortlessly. By transforming raw data into valuable insights, we develop advanced Data Pipelines and robust Data Platforms that drive business intelligence. Without sophisticated data engineering, navigating and extracting value from today's immense data volumes would be nearly impossible.

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Who Are Incentius Data Engineering Consultants?

Our Data Engineering consultants are experts in developing and managing robust data platforms. With proficiency in various programming languages, they specialize in building seamless data pipelines that transfer information across systems efficiently. These pipelines not only transport data but also transform it into usable formats, enabling data scientists to analyze data from multiple sources with ease.

By designing and maintaining these pipelines, our consultants ensure that your data is:
• Consistently accessible,
• Properly structured, and
• Ready for advanced analytical processes.
Their expertise is vital for integrating complex data systems, supporting comprehensive analysis, and driving data-informed decision-making across your organization. At Incentius, we ensure that your data infrastructure is the foundation for innovation and success.

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What Are Data Engineering Services?

Incentius Data Engineering services are crafted to empower businesses with enhanced data usage, streamlined management, and advanced automation. Our cutting-edge automated data pipelines eliminate the challenges of manual data handling, allowing you to focus on deriving actionable insights to drive growth and innovation.

We partner with organizations across industries to build sophisticated data processing pipelines, ensuring efficient data extraction, management, and high-quality standards. Our expert team collaborates closely with clients to unlock critical business information and ensure data is readily accessible for strategic decision-making. With a strategic project approach and a full suite of data engineering services, Incentius helps businesses transform their data into a competitive advantage. Explore how our solutions can elevate your operations and decision-making capabilities.

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Enterprise Data Warehouse

We developed a near real-time data warehousing solution for a leading pharmaceutical organization, leveraging serverless technology to deliver high performance and scalability. This comprehensive system includes an intuitive operational user interface, enabling seamless data management and accessibility for stakeholders.

Key Features:
•Near Real-Time Processing: Ensures data is updated and accessible with minimal latency.
•Serverless Architecture: Provides scalability, cost-efficiency, and reduced operational overhead.
•Operational UI: Empowers users with easy navigation, real-time insights, and simplified data management.

Development Process

Our Data Engineering Development Process

Understanding Business Needs and Technical Requirements

At Incentius, we specialize in designing tailored data engineering solutions that maximize the value of your data. Our journey begins with workshops and discovery sessions involving potential end-users and technical stakeholders. These sessions help us gather a comprehensive understanding of your business goals and technical requirements, laying the foundation for a successful project.

Analyzing Existing and Future Data Sources

To unlock the full potential of your data, we evaluate your current data sources and identify new ones. This includes structured and unstructured data from various systems. Our experts prioritize and assess these sources to ensure the most valuable data is integrated into your workflows.

Building and Implementing a Data Lake

A Data Lake serves as a cost-effective and scalable solution for storing raw and processed data. We design and implement Data Lakes using tools like Hadoop, AWS S3, Google Cloud Storage, or Azure Data Lake. These repositories are designed to store and organize flat, source, transformed, or raw data, ensuring accessibility for future use.

Designing and Implementing Data Pipelines

Once data sources and storage solutions are established, we develop robust data pipelines to process and transform data. These pipelines turn raw data into actionable insights, creating unified data models that serve as the backbone for analytics and decision-making.

Automation and Deployment

Automation is critical to efficient data management. Our team devises a comprehensive DevOps strategy to automate and deploy data pipelines. This approach saves time, enhances reliability, and streamlines the management of data workflows.

Testing and Optimization

The final step in our data engineering process involves rigorous testing and optimization. We measure, analyze, and refine the system to ensure performance meets business needs. Automation through DevOps continues to play a vital role in maintaining and scaling your data infrastructure.

What We Can Do
for You

At Incentius, we provide tailored data engineering solutions to address your unique business needs. Here’s how we can help:

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Data Mart Development

Organize and centralize your data into focused, business-specific data marts, enabling streamlined reporting and decision-making.

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Custom Data Pipelines

Build efficient, scalable data pipelines to automate the collection, transformation, and storage of your data, ensuring seamless data flow across your systems.

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Analytics Stack Integration

Enhance your app ecosystem with a robust analytics stack, providing actionable insights and driving smarter decisions.

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System Integration via APIs

Connect multiple systems in your startup with seamless API integrations, improving efficiency and enabling cohesive operations.

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Expert Consulting

Receive strategic guidance on the best data engineering practices, tailored to your business goals, through our comprehensive consulting packages.

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Data Lake in Docker Compose

Implement cost-effective and scalable data lakes using Docker Compose, providing a versatile repository for raw and processed data.

Whether you're looking to streamline data operations, enhance analytics, or build a future-proof infrastructure, Incentius has the expertise to bring your vision to life. Let us be your partner in unlocking the full potential of your data.

Case Studies

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Real-Life Experiences with Our B2B Medical E-Commerce...

The B2B marketplace was facing significant challenges that hampered its growth and user satisfaction. Left Chevron

Real-Life Insights into Advancing Clean Energy...

A captive survey engine for a non-profit working in the area of solar power generation to capture, analyze, report, and benchmark data Left Chevron

Enhancing Sales Tracking and Analytics for a Leading...

A CRM system for tracking sales records and an analytics dashboard for data visualization were built for a drug discovery company. Left Chevron

Revolutionizing Pharma Data Warehousing with Serverless...

A near realtime data warehousing system built on serverless technology for a pharma organization including an operational UI. Left Chevron

Tools and Technologies

Databricks amz-s3
Google-cloud airbyte
kafka airflow-logo
fastapi myflow
apache-spark seldon-logo

Key Benefits

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Modern Data Pipelines

We design, construct, and implement robust, end-to-end automated data pipelines of production-grade quality. Whether on-premises or in the cloud, our team has extensive experience in creating seamless pipelines to handle your data needs with precision and efficiency.

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Data Preparation and ETL/ELT

Our expertise in ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes ensures your data is prepared, transformed, and loaded into models optimized for business reporting and advanced analytics. We have successfully developed pipelines for key business areas such as Finance, Sales, and Supply Chain, helping organizations make better use of their data.

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Comprehensive End-to-End Data Engineering Solutions

No matter where your organization stands in its data journey, Incentius delivers complete data engineering solutions tailored to your needs.

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Data Lake Implementation

Data Lakes provide a scalable and cost-effective solution for data storage and processing. By adopting Data Lakes, your organization can enhance its data architecture and unlock new opportunities. At Incentius, we have used Data Lake solutions to address various challenges, including product traceability, IoT data reporting, and building customer data platforms.

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Cloud Data Architecture

Building flexible and highly accessible cloud-based data architectures is critical for businesses today. Our experienced Data Architects combine expertise from multiple large-scale projects to elevate your data analytics foundation. With Incentius, you can create a cloud architecture that supports your business growth and drives advanced analytics.

Frequently asked questions

1. How do big tech companies use data engineering?

Big tech companies leverage data engineering to build scalable data pipelines, process massive datasets, and ensure real-time analytics. They use these insights for product optimization, customer targeting, decision-making, and machine learning model development.

2. What is the difference between Data Engineering and Data Science?

Data Engineering focuses on creating and maintaining data pipelines and systems, while Data Science uses data to build predictive models and extract insights. They complement each other in the data ecosystem.

3. Do I need Data Engineering?

If your organization deals with large datasets, requires data pipelines, or relies on analytics and machine learning, Data Engineering is essential to ensure data availability and reliability.

4. What is a Data Pipeline?

A Data Pipeline is a series of processes and tools used to move data from one system to another, transforming it along the way to make it usable for analysis or applications.

5. What is the future of Data Engineering?

The future of Data Engineering lies in automation, real-time processing, cloud computing, and the integration of AI and machine learning to create intelligent data workflows.

6. What does a Data Engineer do?

A Data Engineer designs, builds, and maintains the infrastructure and tools necessary for collecting, storing, and processing data efficiently.

7. Why is Data Engineering so important?

Data Engineering ensures data is accurate, accessible, and usable, forming the foundation for analytics, business intelligence, and AI-driven insights.

8. What kind of services do you offer in the area of Data Engineering?

We offer services such as data pipeline development, data migration, data storage optimization, cloud integration, and real-time analytics solutions.

9. How do you secure data and privacy in Data Engineering?

We use encryption, access control, data masking, and compliance with data privacy laws to ensure the security and privacy of your data.

10. Can you consult only on some parts of my Data Engineering project?

Yes, we can assist with specific components of your project, such as data pipeline design, cloud migration, or performance optimization.

We are a rapidly growing company trusted by global enterprises.

Mindgap

Incentius has been a fantastic partner for us. Their strong expertise in technology helped deliver some complex solutions for our customers within challenging timelines. Specific call out to Sujeet and his team who developed custom sales analytics dashboards in SFDC for a SoCal based healthcare diagnostics client of ours. Their professionalism, expertise, and flexibility to adjust to client needs were greatly appreciated. MindGap is excited to continue to work with Incentius and add value to our customers.

Samik Banerjee

Founder & CEO

World at Work

Having worked so closely for half a year on our website project, I wanted to thank Incentius for all your fantastic work and efforts that helped us deliver a truly valuable experience to our WorldatWork members. I am in awe of the skills, passion, patience, and above all, the ownership that you brought to this project every day! I do not say this lightly, but we would not have been able to deliver a flawless product, but for you. I am sure you'll help many organizations and projects as your skills and professionalism are truly amazing.

Shantanu Bayaskar

Senior Project Manager

Gogla

It was a pleasure working with Incentius to build a data collection platform for the off-grid solar sector in India. It is rare to find a team with a combination of good understanding of business as well as great technological know-how. Incentius team has this perfect combination, especially their technical expertise is much appreciated. We had a fantastic time working with their expert team, especially with Amit.

Viraj gada

Gogla

Humblx

Choosing Incentius to work with is one of the decisions we are extremely happy with. It's been a pleasure working with their team. They have been tremendously helpful and efficient through the intense development cycle that we went through recently. The team at Incentius is truly agile and open to a discussion in regards to making tweaks and adding features that may add value to the overall solution. We found them willing to go the extra mile for us and it felt like working with someone who rooted for us to win.

Samir Dayal Singh

CEO Humblx

Transportation & Logistics Consulting Organization

Incentius is very flexible and accommodating to our specific needs as an organization. In a world where approaches and strategies are constantly changing, it is invaluable to have an outsourcer who is able to adjust quickly to shifts in the business environment.

Transportation & Logistics Consulting Organization

Consultant

Mudraksh & McShaw

Incentius was instrumental in bringing the visualization aspect into our investment and trading business. They helped us organize our trading algorithms processing framework, review our backtests and analyze results in an efficient, visual manner.

Priyank Dutt Dwivedi

Mudraksh & McShaw Advisory

Leading Healthcare Consulting Organization

The Incentius resource was highly motivated and developed a complex forecasting model with minimal supervision. He was thorough with quality checks and kept on top of multiple changes.

Leading Healthcare Consulting Organization

Sr. Principal

US Fortune 100 Telecommunications Company

The Incentius resource was highly motivated and developed a complex forecasting model with minimal supervision. He was thorough with quality checks and kept on top of multiple changes.

Incentive Compensation

Sr. Director

Company Insights

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Amazon Virtual Private Cloud (VPC) is a virtual network allocated to your AWS account. If you are wondering what a virtual network is, it allows communication between computers, servers, or other devices. VPC allows you to start AWS resources like EC2(Server) in your virtual network.

Trusted By Businesses

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Contact Information

Drop us your details. We'd love to have a chat with you to understand how we can collaborate in building a strong data backbone for your organization.

location #13, 3rd Floor, City Vista, Kharadi, Pune, India 411014
location +1 (302) 415 3208

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