Data Engineering Services
Let Us Engineer Your Data with Smart,
Scalable Data Engineering Solutions
Building smarter data pipelines for data at rest and data in motion, Our Data Engineering services ensure your data is reliable, accessible, and analytics-ready, driving faster, smarter decisions across the enterprise.
Why Data Engineering Matters?
Slow Processes
Outdated data systems can slow decision-making, leading to missed opportunities. Inefficient data storage and retrieval mechanisms cause lag, preventing businesses from making real-time decisions. Data engineering services streamline these processes for faster, efficient decision-making.
Complex pipelines
Unstructured data flows create bottlenecks, making data management chaotic and error prone. As data volume and velocity grow, scaling these data pipelines becomes a challenge. It demands advanced data engineering architectures designed for performance, scalability, and flexibility.
Siloed systems
Disconnected data sources hinder teams from accessing critical insights, reducing collaboration. Business intelligence and data analytics suffer as teams struggle to gain a unified view of operations. Effective data engineering helps unify and connect data sources for streamlined insights.
Our
Core
Offerings
in Data Engineering Services
Smart ETL/ELT Pipelines
Automate data extraction, transformation, and loading (ETL) for seamless integration with minimal manual intervention.
Data Lakes
and Warehouses
Securely store both structured and unstructured data in scalable environments for easy access and advanced data analytics.
Real-Time
Streaming
Deliver instant data updates to enable immediate insights and proactive decision-making with real-time data pipelines.
Consumption-Ready Data for Analytics
Prepare and optimize data to be cleansed, enriched, and ready for actionable insights without additional processing.
AI Integrated
Data Integration
Use AI-powered data integration to intelligently connect diverse data sources, enhancing accuracy and predictive capabilities.
Data Quality &
Data Lineage
Ensure trustworthy data with robust quality checks and transparent tracking for full traceability and compliance.
Our
Core
Offerings
in Data Engineering Services
Smart ETL/ELT
Pipelines
Automate data extraction, transformation, and loading (ETL) for seamless integration with minimal manual intervention.
Data Lakes
and Warehouses
Securely store both structured and unstructured data in scalable environments for easy access and advanced data analytics.
Real-Time
Streaming
Deliver instant data updates to enable immediate insights and proactive decision-making with real-time data pipelines.
Consumption-Ready
Data for Analytics
Prepare and optimize data to be cleansed, enriched, and ready for actionable insights without additional processing.
AI Integrated
Data Integration
Use AI-powered data integration to intelligently connect diverse data sources, enhancing accuracy and predictive capabilities.
Data Quality &
Data Lineage
Ensure trustworthy data with robust quality checks and transparent tracking for full traceability and compliance.
Empowering Your Business with Expert Data Engineering Services
Our Expertise
Open-Source Data Integration
We specialize in data engineering using best-in-class open-source technologies for seamless, scalable data integration. Our expertise includes:
- dbt: A SQL-first transformation framework for modular, version-controlled analytics.
- Apache Airflow: Workflow orchestration for complex ETL pipelines, efficient scheduling, and managing dependencies.
- Apache Kafka: Real-time data ingestion and event-driven architectures for scalable, distributed streaming.
- Apache NiFi & Luigi: Low-latency tools for flexible data flows, supporting diverse integration scenarios and robust processing pipelines.
Cloud-Native ETL & Orchestration
Our leading data engineering company specialize in serverless, cloud-native data consulting solutions that enable easy scalability, fast processing, and real-time analytics.
- Azure Data Factory: Serverless integration at scale with pipeline orchestration across Azure’s vast ecosystem.
-
Amazon Glue: Fully managed ETL platform for data
discovery, transformation, and cataloging in AWS. - Google Cloud Dataflow: Unified stream and batch processing, with auto-scaling and windowing for optimized real-time analytics.
- AWS Data Pipeline & Step Functions: Seamless automation of data workflows, integrating custom jobs and ensuring efficient processing within the AWS ecosystem.
- Azure Data Factory: Serverless integration at scale with pipeline orchestration across Azure’s vast ecosystem.
- Amazon Glue: Fully managed ETL platform for data discovery, transformation, and cataloging in AWS.
- Google Cloud Dataflow: Unified stream and batch processing, with auto-scaling and windowing for optimized real-time analytics.
- AWS Data Pipeline & Step Functions: Seamless automation of data workflows, integrating custom jobs and ensuring efficient processing within the AWS ecosystem.
Custom ETL Frameworks & Programming
We offer customized data solutions using a range of programming languages and frameworks to meet your unique needs.
- Python-based Pipelines: Tailored data ingestion and transformation using Pandas, PySpark, or custom logic to meet specific needs.
- Scala & Java: High-performance ETL solutions built on Spark/Hadoop clusters, ensuring fast processing for large-scale datasets.
- Node.js & Go: Event-driven microservices that integrate with third-party APIs or real-time data streams, enabling custom, scalable solutions.
Data Lake & Warehouse Ecosystems
As a top-tier data engineering company, we provide expertise in modern data storage and analytics platforms helps organizations centralize and analyze data at scale.
- Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse: Industry-leading cloud platforms that enable centralized, high -performance analytics.
- Databricks: Collaborative data engineering, analytics, and AI platform built on Delta Lake for unified analytics at scale.
- Traditional SQL & NoSQL: Expertise in relational and non-relational databases like PostgreSQL, MongoDB, and Cassandra for diverse storage requirements.
Orchestration & Deployment
We ensure your data engineering solutions are scalable, portable, and easily deployable.
- Containerization: Using Docker and Kubernetes to create portable, reproducible components for your data pipeline.
- Infrastructure as Code: With Terraform and CloudFormation, we automate and ensure consistent provisioning of cloud environments.
- CI/CD Pipelines: We integrate continuous testing and deployment using GitHub Actions, Jenkins, and Azure DevOps, ensuring your data engineering workflows are agile and reliable.
Our Data Engineering Case Studies
Automating Account Receivables for a Ratings Company and Leading Services
Challenge
Reduction of performance owing to compliance and data integrity concerns, hinderance of real-time reporting and decision-making by siloed data systems and delays and inaccuracies due to manual processing of account receivable files.
Solution
We audit the existing data workflows and design a smart ETL solution using Azure’s data integration services. Our approach includes consolidating data into a centralized data store for real-time analytics, automating file ingestion and processing with Azure Data Factory, and integrating validation and transformation steps with custom scripts to ensure data quality.
Result
After implementing our solutions, our clients experienced an improvement of real-time visibility and accuracy of account receivables, an enhancement of compliance through automated data validations, and 40 percent reduction in processing.
Process Automation
Data Integration
Accuracy Improvement
Compliance Boost
Why Choose Stryv.ai for Data Engineering?
As a leading data engineering company, Stryv.ai delivers comprehensive consulting services tailored to your specific business needs. Our team of expert data engineers specializes in building robust data pipelines and modern data lakes that support your digital transformation.
Whether you’re looking for cloud data modernization, seamless data science integration, or scalable data engineering software solutions, we are here to guide you through every step of your data journey.
Frequently Asked Question's
Data Engineering is the process of designing, building, and maintaining systems that collect, store, and process data for analysis. This involves creating data pipelines, integrating various data sources, transforming data into usable formats, and ensuring data quality and security.
- Improved Decision-Making: With optimized data pipelines, you can access real-time insights and make informed decisions faster.
- Scalability: Cloud-based solutions offer scalable data storage and processing, adapting to growing data needs.
- Data Quality & Accuracy: Automated data validation ensures the accuracy and integrity of your data, enabling better analytics.
Data engineering services help build and manage scalable, secure data infrastructures, integrating data from multiple sources for easy access. They ensure your data is ready for analysis, enabling faster decision-making and improved operational efficiency.
As a trusted data engineering company, we use industry-leading tools and technologies, including
- Apache Airflow for orchestrating ETL workflows.
- Apache Kafka for real-time data streaming.
- dbt for data transformation.
- Cloud Platforms like AWS, Azure, and Google Cloud for data storage and processing.
- Python and Scala for custom data solutions.
ETL stands for Extract, Transform, and Load, and it is a fundamental process in data engineering used to move and process data from various sources into a storage system like a data warehouse or data lake.
While data science focuses on analyzing and interpreting data to gain insights, data engineering is about building the infrastructure to collect, store, and process data. In essence, data engineering ensures that data is clean, accessible, and usable for data scientists to analyze.
Cloud data modernization involves transitioning from traditional on-premises data systems to cloud-based platforms. Our data engineering team can help with this by migrating your data to cloud-native storage solutions, optimizing data pipelines, and ensuring real-time access to data for seamless business operations.
Get in touch, and let’s find the smartest way to move your project forward.
Learn more about Stryv’s innovative services, designed to offer a modern, secure, and customized experience tailored just for you.
General enquiries
info@stryv.ai
Talk to Our Experts
+1-904-310-4540
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