AI-Enabled Data Engineering Services
Transform your raw data into your most valuable strategic asset.
We build secure, scalable, and intelligent data foundations that fuel growth and innovation.
Trusted by Global Leaders and Industry Innovators
The CIS Advantage in Data Engineering
Your data is complex. Your data engineering partner shouldn't be. We deliver certainty, security, and strategic value by turning data chaos into a competitive advantage.
AI-Powered Efficiency
We don't just build pipelines; we build intelligent ones. Our AI-enabled approach automates data quality checks, optimizes pipeline performance, and accelerates development, delivering faster, more reliable results.
Enterprise-Grade Security
With SOC 2 and ISO 27001 certifications, we embed security and compliance into every layer of your data architecture. We build robust governance frameworks to protect your most critical asset.
Proven Process Maturity
Our CMMI Level 5 appraisal means we operate at the highest level of process optimization. This translates to predictable outcomes, minimized risks, and consistent, high-quality delivery for your data projects.
Deep Technical Expertise
Our team of 1000+ in-house experts holds certifications across all major cloud platforms (AWS, Azure, GCP) and data technologies (Snowflake, Databricks). We bring the right skills for any challenge.
True Partnership Model
We act as a seamless extension of your team. With a 95% client retention rate and a 2-week risk-free trial, we are committed to your long-term success, not just project delivery.
End-to-End Lifecycle
From initial strategy and architecture design to implementation, migration, and 24/7 managed support, we provide comprehensive services covering the entire data engineering lifecycle.
Future-Proof Architecture
We don't build for today; we build for tomorrow. Our focus on scalable, cloud-native, and modular architectures (like Data Mesh and Lakehouse) ensures your data platform evolves with your business.
Business Outcome Focus
Technology is just the tool. We start by understanding your business goals—whether it's reducing churn, optimizing supply chains, or launching new products—and engineer data solutions that directly drive those outcomes.
Global Delivery, Local Insight
With a strong presence in the USA, EMEA, and Australia, we combine the cost-efficiency of our global delivery model with the market-specific understanding needed to solve your unique challenges.
Comprehensive Data Engineering Services
We offer a full spectrum of data engineering services designed to build a robust, scalable, and intelligent data foundation for your enterprise.
ETL & ELT Pipeline Development
We design and build high-performance, fault-tolerant data pipelines to move and transform data from any source to any destination, ensuring data is clean, consistent, and ready for analysis.
- Automate data ingestion from 100+ connectors (SaaS, DBs, APIs).
- Implement robust data transformation logic for business needs.
- Ensure scalability to handle terabytes of data daily.
Data Lake & Lakehouse Implementation
Centralize all your structured, semi-structured, and unstructured data in a scalable, cost-effective data lake or a modern data lakehouse architecture, creating a single source of truth for your organization.
- Architect solutions on AWS S3, Azure Data Lake, or Google Cloud Storage.
- Combine the flexibility of data lakes with the reliability of data warehouses.
- Enable diverse analytics and machine learning use cases.
Enterprise Data Warehousing
We build and modernize cloud data warehouses that serve as the core of your BI and reporting infrastructure, delivering fast, reliable query performance for complex analytical workloads.
- Expertise in Snowflake, BigQuery, Redshift, and Azure Synapse.
- Design optimized star/snowflake schemas for analytical efficiency.
- Migrate legacy on-premise warehouses to the cloud with minimal disruption.
Real-Time Data Streaming & Processing
Unlock immediate insights from your data. We build real-time streaming architectures to ingest, process, and analyze data as it's generated, powering live dashboards, fraud detection, and personalization.
- Utilize technologies like Kafka, Kinesis, and Spark Streaming.
- Develop low-latency pipelines for time-sensitive applications.
- Enable event-driven architectures for modern, responsive systems.
Cloud Data Migration
Seamlessly migrate your on-premise databases, data warehouses, and analytics platforms to the cloud. Our proven methodologies minimize risk, reduce downtime, and accelerate your cloud adoption journey.
- Comprehensive assessment, planning, and execution strategy.
- Automated tools and frameworks to ensure data integrity.
- Post-migration optimization for cost and performance.
Data Mart Design & Development
We create subject-oriented data marts for specific departments (e.g., Sales, Marketing, Finance) to provide them with tailored, optimized datasets for faster, more relevant reporting and analysis.
- Empower business units with self-service analytics capabilities.
- Improve query performance by focusing on specific data domains.
- Ensure consistency with the central enterprise data warehouse.
Data Mesh Architecture
For large, complex organizations, we implement decentralized Data Mesh architectures. This approach empowers domain teams to own their data products, fostering scalability, agility, and a culture of data ownership.
- Establish federated governance and a self-serve data platform.
- Treat data as a product, with clear owners and quality standards.
- Break down data silos and monolithic pipeline bottlenecks.
AI/ML Engineering & MLOps
We bridge the gap between data science and production. Our MLOps services build the infrastructure to automate the deployment, monitoring, and management of your machine learning models at scale.
- Develop feature stores for consistent ML model training.
- Build CI/CD pipelines for automated model training and deployment.
- Implement model monitoring for drift and performance degradation.
Big Data Processing
Leverage the power of distributed computing to process massive datasets that are impossible to handle with traditional systems. We build solutions for batch and stream processing on petabyte-scale data.
- Expertise in Apache Spark, Hadoop, and other big data frameworks.
- Optimize distributed jobs for maximum performance and cost-efficiency.
- Enable large-scale data science, ETL, and analytics workloads.
BI & Data Visualization Support
We engineer the backend data models and pipelines that power your BI tools. We ensure your dashboards in Tableau, Power BI, or Looker are fast, accurate, and built on a foundation of trusted data.
- Create optimized data models and aggregation layers for BI.
- Develop custom connectors and APIs for data sources.
- Ensure performance and reliability for enterprise-wide reporting.
Data Governance & Quality
Trust in your data is non-negotiable. We implement comprehensive data governance frameworks, data quality monitoring, and master data management (MDM) solutions to ensure your data is accurate, consistent, and secure.
- Establish data catalogs, lineage tracking, and business glossaries.
- Automate data quality rules and anomaly detection.
- Implement MDM to create a single, authoritative view of core entities.
DataOps & CI/CD for Data
We apply DevOps principles to data analytics. Our DataOps approach automates testing, integration, and deployment of data pipelines, increasing agility, improving quality, and reducing time-to-insight.
- Implement version control for all data artifacts (code, schemas).
- Automate data pipeline testing and validation.
- Create orchestrated, repeatable deployment workflows.
Data Architecture Modernization
Is your current data architecture holding you back? We assess your existing systems and design a modern, cloud-native architecture that is more scalable, flexible, and cost-effective.
- Evaluate monolithic systems for migration to microservices.
- Design serverless and event-driven data architectures.
- Develop a strategic roadmap for phased modernization.
Data Security & Compliance
We build security into the core of your data platform. Our services include data encryption, anonymization, access control, and audit logging to help you meet regulatory requirements like GDPR, HIPAA, and CCPA.
- Implement role-based access control (RBAC) and data masking.
- Ensure end-to-end encryption for data at rest and in transit.
- Automate compliance monitoring and reporting.
Managed Data Platform Services
Focus on insights, not infrastructure. We offer 24/7 monitoring, maintenance, and optimization for your data platforms, ensuring high availability, performance, and continuous improvement.
- Proactive monitoring and alerting for pipeline failures.
- Performance tuning and cost optimization.
- Ongoing support and incident management.
Our Technology & Tools Expertise
We leverage a best-in-class, modern data stack to build robust and scalable solutions, selecting the right tool for every job.
Data Engineering Success Stories
See how we've helped enterprises across industries transform their data capabilities and drive measurable business outcomes.
Modernizing a FinTech's Real-Time Analytics Platform
FinTech / Financial ServicesA leading digital payment provider was struggling with a legacy batch-processing system that couldn't provide the real-time fraud detection and customer insights needed to stay competitive. Their data was siloed, and reporting was delayed by over 24 hours.
Key Challenges:
- Inability to detect fraudulent transactions in real-time.
- Slow, unreliable reporting leading to missed opportunities.
- High infrastructure costs of their on-premise data warehouse.
- Scalability issues during peak transaction periods.
Our Solution:
We designed and implemented a cloud-native, event-driven data architecture on AWS.
- Deployed Apache Kafka for real-time event streaming from transaction systems.
- Used AWS Kinesis and Lambda for serverless, real-time data processing.
- Migrated their data warehouse to Snowflake for elastic scalability and performance.
- Built a unified data lake on S3, enabling advanced ML modeling.
Our Agile & Transparent Delivery Process
We follow a structured, collaborative process to ensure your data engineering project is delivered on time, within budget, and perfectly aligned with your business objectives.
1. Discover & Strategize
We begin with in-depth workshops to understand your business goals, existing data landscape, and key challenges. We define success metrics and create a strategic data roadmap.
2. Architect & Design
Our solution architects design a future-proof, scalable, and secure data architecture tailored to your specific needs, selecting the optimal technologies and frameworks.
3. Develop & Implement
Following agile methodologies, our engineers build, test, and integrate data pipelines and platforms in iterative sprints, providing you with regular demos and continuous feedback loops.
4. Deploy & Optimize
We manage the deployment to your production environment using CI/CD and DataOps best practices. Post-launch, we focus on performance tuning and cost optimization.
5. Support & Evolve
We provide ongoing managed services, 24/7 support, and continuous improvement to ensure your data platform evolves with your business and continues to deliver maximum value.
What Our Clients Say
Our 95% client retention rate is built on trust, transparency, and consistently delivering exceptional results.
"CIS transformed our chaotic data swamp into a pristine, AI-ready data lake. Their team's technical depth and commitment to our business outcomes were remarkable. We're now making decisions based on data, not gut feelings."
"The migration of our on-premise Hadoop cluster to a modern cloud stack with CIS was flawless. They minimized downtime and delivered the project ahead of schedule and under budget. A true strategic partner."
"We needed to build a complex data platform from scratch to support our SaaS product. CIS's Data Engineering POD model gave us access to a world-class team instantly. Their expertise in multi-tenant architecture was a game-changer."
Frequently Asked Questions
Project timelines vary based on complexity. A data pipeline for a single source might take 2-4 weeks. A full data warehouse migration or data lake implementation can range from 3 to 9 months. We begin every engagement with a detailed scoping and roadmap phase to provide a clear, realistic timeline.
Security is our top priority. As a SOC 2 and ISO 27001 certified company, we follow a 'security-by-design' approach. This includes end-to-end encryption, robust identity and access management (IAM), data masking for sensitive information, and building architectures that comply with regulations like GDPR, HIPAA, and CCPA.
We offer flexible models to suit your needs:
- Dedicated PODs (Team Augmentation): A dedicated, cross-functional team of data engineers, architects, and QA specialists who work as an extension of your in-house team.
- Fixed-Price Projects: For well-defined projects with clear scopes and deliverables, we provide a fixed price and timeline.
- Time & Materials (T&M): Ideal for projects with evolving requirements, offering maximum flexibility to adapt as needed.
Absolutely. Upon final payment, all intellectual property, source code, and documentation developed for your project are transferred to you. We believe in empowering our clients, not locking them in.
We believe in transparent and proactive communication. You will have a dedicated project manager as your single point of contact. We use agile methodologies with regular stand-ups, sprint reviews, and demos. We are proficient in all major project management tools like Jira, Asana, and Trello, and can adapt to your preferred communication channels (Slack, MS Teams, etc.).
Partnering with CIS gives you immediate access to a vetted, multi-disciplinary team of experts without the lengthy and expensive hiring process. You benefit from our collective experience across hundreds of projects, our CMMI Level 5 certified processes, and the flexibility to scale your team up or down as needed. We provide the breadth and depth of an entire data practice for a fraction of the cost of building one internally.
Ready to Build Your Data-Driven Future?
Let's talk about how our AI-enabled data engineering services can transform your business. Schedule a free, no-obligation consultation with our data architects today.
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