Data Engineering Services for Modern Businesses

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Data Engineering Services That Power Smarter Marketing Analytics

At Kaliper, our Data Engineering Services give marketing teams the capability to make their data fully work for them. We have expertise in scaling data architectures, pipelines and platforms supporting advanced marketing analytics, to help you manage multi-channel campaign tracking, support real-time performance monitoring and develop powerful customer data platforms. For data governance, cloud migration, or any analytics-ready data, we make sure your marketing data is clean, integrated and based on a solid foundation. Collaborate with us in transforming disjointed marketing information into a strategic resource that will help achieve smarter targeting, optimal investments and more ROI.

data migration services

Our Core Services

data integration services

Data Integration

Data integration involves combining data from different sources to provide a unified view. This process helps organizations streamline operations and improve decision-making. It includes techniques like ETL (extract, transform, load) and real-time integration. Effective data integration ensures data consistency, quality, and accessibility.

  • Data Warehouse setup
  • CRM Integration
  • Ad Platform
  • Email Platform Integration
  • Data Privacy Compliance

CDP Implementation

Deploy customer data platforms (CDPs) to unify customer data from disparate sources, enabling a 360-degree view of customer interactions and behaviors.

  • Setting up sources and destinations
  • Data Transformation and Cleaning, ETL and reverse ETL
  • Best practices data audit
  • Master Data Management (MDM)
  • Monitoring and Alerting
data integration solutions
data integration services

Data Migration and Transformation Services

Facilitate seamless data migration and transformation processes, enabling smooth transitions between systems and platforms while minimizing downtime and disruptions.

  • Data Extraction and Transformation
  • Data Loading Techniques
  • Data Verification and Validation
  • Post-Migration Data Quality Checks
  • Regulatory Compliance

Enable AI/ML

Make your data work smarter with our AI and machine learning solutions. We help you move and transform your data between different systems and platforms smoothly, with minimal interruptions.

 

  • Seamless Data Integration
  • Automated Data Cleaning
  • Predictive Analytics
  • Real-Time Data Processing
  • Enhanced Data Security

Data Engineering Consulting

Design, scale, and optimize your data ecosystem in a way that is performance and agile, and that creates business impact. Our consultants enable raw data to become a strategic asset with customised, technology-agnostic solutions.

  • Infrastructure and pipeline assessment
  • Scalable pipeline design (batch & real-time)
  • ETL/ELT optimization
  • Data quality and governance advisory
  • Toolchain support (e.g., Snowflake, Databricks)

Data Architecture Services

Data architectures that meet your business objectives, as well as ensuring performance and supporting long-term scalability, are well planned. We assist in putting in the proper analytics, AI and digital transformation foundation.

  • Modern data architecture design
  • Cloud and hybrid platform setup
  • Data modeling (star, vault, etc.)
  • Metadata and lineage integration
  • Architecture review and modernization

The Kaliper Advantage

At Kaliper, we specialize in scalable data engineering that empowers data-driven decision-making. By combining technology expertise with business insight, we build lean, next-gen data infrastructure. From pipelines to API-to-warehouse syncing, we simplify workflows and make data truly useful.

Tracking Plan

Tracking Plan

A comprehensive tracking plan is essential for effective data collection and analysis. This plan offered by Kaliper.io outlines key metrics, defines data collection methods, and specifies the tools and platforms used. It should also detail the events and user actions to be tracked, ensuring alignment with business goals. Regular audits and updates to the tracking plan are crucial to maintain data accuracy and relevance.
Tech Suite Insights

Tech Suite Insights

Choosing the right technology stack ensures efficient data management and analysis. This may include tools like Google Analytics, Mixpanel, or Tableau for tracking and visualization, combined with storage solutions such as AWS or Google Cloud. With expertise in Snowflake and BigQuery, we help you select, implement, & optimize the best platform for your business. Adding a Customer Data Platform (CDP) like Segment further streamlines data collection & integration.
Data Pipelines

Data Pipelines

Efficient data pipelines ensure smooth data flow from various sources to analytics platforms. These pipelines should be automated, scalable, and capable of handling large volumes of data. Tools like Apache Airflow or AWS Glue can help orchestrate and manage these workflows. Implementing scalable ETL solutions ensures that data is properly cleansed, transformed, and loaded into the data warehouse in a timely and reliable manner.
Data Governance

Data Governance

Strong data governance practices are vital for ensuring data quality, security, and compliance. Establish clear data ownership and stewardship roles, and define policies for data access and usage. Kaliper.io can help Implement data quality checks and regular audits to maintain data integrity. Compliance with regulations like GDPR and CCPA should be a priority, with processes in place for data anonymization and user consent management.

Get Started with Kaliper Today!

Ready to take your data infrastructure to the next level? Whether you need API-to-warehouse syncing, modern ETL solutions, or a cloud-native data platform, Kaliper can help. Connect with us today to accelerate your data transformation.

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Frequently Asked Questions

Data engineering services involve the creation of pipelines and architecture, and maintenance of data and infrastructure. This covers ETL/ELT creation, data warehousing, real-time data processing, data modeling, quality assurance, and integration of tools such as Snowflake, BigQuery and Apache Airflow so that data becomes clean, reliable, and analytics-ready.

ETL (Extract, Transform, Load) is a method that changes data and then loads it into the data warehouse, whereas ELT (Extract, Load, Transform) loads raw data into the data warehouse and transforms the data there. Modern cloud platforms (such as Snowflake or BigQuery) are especially scalable and able to perform work within-warehouse, so they are often favoured to use ELT.

Yes, a data engineer (particularly someone with experience in Snowflake) can greatly simplify the process and make sure you are doing everything according to best practices. Whether it is schema design, performance tuning, or securing, scalable data pipelines, Snowflake professionals can streamline storage, provision compute resources, and enable secure, scalable data pipelines.

Find a technical partner, successful with other implementations and has experience with the newest data platforms. To give you the best partner, the vendor must be a good provider of custom and scalable solutions and be able to support several tools (such as Airflow, Snowflake, and Segment) and sync with your business and data strategy.

The schedule may depend on the complexity, sources of data, and tooling. The installation of a simple pipeline can be completed within a few days; the enterprise-scale / real-time pipelines may require a few weeks. At Kaliper, we have scoping of all projects so that they deliver clear timelines that are based on your needs and objectives.