Modern Integration for a Data-Driven Enterprise
Our Data Integration & Engineering services help organizations unify fragmented systems, streamline data pipelines, and prepare data for analytics at scale. We design robust architectures that support both real-time and batch data flows—ensuring timely, trusted data is always available to the teams who need it. Whether you're integrating cloud-native platforms or legacy systems, we bring the technical depth and business focus to accelerate your data initiatives.
Common Barriers to Data Integration Success
Despite increasing data availability, many enterprises still struggle to make it usable, timely, and trustworthy. Legacy systems, siloed applications, and brittle ETL pipelines often lead to delays, data quality issues, and missed opportunities for insight. A modern integration and engineering strategy is essential to reduce latency, improve trust, and enable real-time decision-making.
Inconsistent or Incomplete Data Across Systems
Siloed Applications Preventing Unified Insights
Rigid, Legacy ETL Pipelines That Are Hard to Maintain
Lack of Real-Time Data Availability
High Operational Overhead Managing Custom Integrations
Our Data Integration & Engineering Services
We design, build, and optimize modern data pipelines and integration strategies that deliver timely, high-quality, and reliable data to every part of your business. From API development and event streaming to ETL modernization and real-time data ingestion, we align technical solutions to business needs while ensuring scalability and resilience. Our team enables your platforms to move from fragmented data silos to a unified, analytics-ready environment.
Our Integration & Engineering Framework
Our proven 5D Framework ensures that every data integration or engineering initiative is aligned with business outcomes, scalable by design, and optimized for future growth. From initial discovery through deployment and beyond, we apply modern tools and architectural patterns to maximize data accessibility, quality, and performance.
1. Discover
We assess your current data ecosystem, integration points, and business priorities to identify bottlenecks, silos, and transformation opportunities. This phase ensures alignment between stakeholder needs and technical feasibility.
2. Design
We architect scalable, resilient integration and pipeline solutions using modern best practices like microservices, event streaming, and cloud-native patterns. Each design aligns with data governance, security, and latency requirements.
3. Develop
Our team builds pipelines, APIs, and data services using technologies like Kafka, Spark, dbt, and cloud-native tools. Code is modular, testable, and performance-optimized for long-term maintainability.
4. Demonstrate
We validate integration logic and pipeline performance in staging environments, simulating real-world loads and edge cases. This step ensures stakeholder confidence before production rollout.
5. Deploy
We implement CI/CD pipelines for seamless production deployment with monitoring, alerting, and rollback support. Post-launch, we ensure the system remains stable, observable, and easy to maintain.
Proven Impact Through Integration Success
Our data integration and engineering solutions have helped enterprises modernize their architecture, accelerate time-to-insight, and ensure seamless data flow across systems. From unifying siloed environments to enabling real-time data pipelines, our projects deliver measurable outcomes. Explore how we've turned integration challenges into strategic wins.
SAP BPC to SAP Analytics Cloud Migration
Learn how NorthRiver Midstream partnered with Improving to modernize its financial planning by transitioning from an outdated on-premises SAP BPC system to SAP Analytics Cloud, streamlining processes and improving efficiency across its gas gathering and processing operations.
SAP
SAP Analytics Cloud (SAC)
SAP S/4HANA
Thrivent Enterprise Integration Datastore
Improving partnered with Thrivent to develop the Thrivent Enterprise Integration Datastore (TEID), consolidating data from multiple systems to enhance accessibility, enable real-time updates, and improve user experiences across digital platforms.
Confluent
Kafka
AWS
Why Organizations Trust Improving for Data Engineering
With deep expertise across modern data platforms and a track record of enterprise success, Improving is a trusted partner for end-to-end data integration and engineering. We balance technical excellence with business alignment, ensuring your pipelines serve real outcomes—not just infrastructure upgrades. From batch ETL to real-time streaming, we deliver scalable and sustainable solutions that evolve with your needs.
Proven experience with large-scale, distributed data systems
Deep knowledge of ETL, ELT, and real-time data streaming
Platform-agnostic across Azure, AWS, and hybrid environments
Emphasis on data quality, lineage, and observability
End-to-end delivery with flexible team engagement models
Trusted Partnerships for Scalable Data Engineering
Our strategic partnerships with leading cloud and data platform providers ensure that your data integration and engineering solutions are built on trusted, future-ready technology. From Microsoft's Azure ecosystem to Snowflake's high-performance cloud warehouse and Databricks' advanced data processing capabilities, we design and implement pipelines that are secure, efficient, and tailored to your enterprise needs. These partnerships empower us to align with your cloud strategy and accelerate the delivery of impactful data solutions.
Technologies Powering Modern Data Integration
We leverage a robust stack of technologies to design scalable, secure, and high-performance data integration and engineering pipelines. Our expertise spans traditional ETL tools, real-time streaming platforms, cloud-native services, and modern orchestration frameworks. By combining the right tools for each use case, we ensure your data flows efficiently from source to insight.
Cloud Platforms
Amazon Redshift
Amazon S3
Azure SQL Database
Azure Synapse
BigQuery
Databricks
Delta Lake
Microsoft Fabric
Snowflake
Data Integration
Apache Airflow
Azure Data Factory
dbt
Fivetran
Informatica
MuleSoft
Talend
Data Streaming & Real-Time Processing
Apache Flink
Apache Pulsar
Apache Spark Streaming
AWS Kinesis
Azure Event Hubs
Confluent Platform
Google Cloud Pub/Sub
Kafka
RabbitMQ
Redpanda
Orchestration & Pipelines
Apache Airflow
AWS Step Functions
Azure Data Factory
Azure Synapse
Dagster
GitHub Actions
Google Cloud Workflows
Jenkins
Prefect
ETL / ELT Frameworks
Apache Beam
Azure Data Factory
Dataiku
dbt
Fivetran
Informatica
Matillion
SAP Data Services
Talend
Ancillary Services to Support Your Data Journey
Our integration and engineering work often complements broader data initiatives. From real-time architecture to governance frameworks and analytics platforms, we help enterprises build connected, intelligent ecosystems that scale with their business. Explore how our adjacent services can drive additional value across your data landscape.
Insights on Data Engineering and Integration
Stay current with the latest in data pipelines, real-time integration, and modern engineering practices through our expert-written blogs. From ELT optimization tips to architectural breakdowns of cloud-native data stacks, we share real-world insights to help teams modernize faster. Explore trends, tools, and proven strategies shaping today’s data-driven enterprise.
Let’s Talk About Your Data Pipeline Needs
Ready to modernize your data integration and engineering approach? Our experts can help design scalable, efficient solutions tailored to your business. Connect with us today to start the conversation.
Headquarters: 5445 Legacy Drive #100 Plano, TX 75024
Call: (214) 613-4444
Email: sales@improving.com
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