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Data engineering services
Our data engineering services
Data engineering consulting
We provide data engineering consulting services to help companies develop a comprehensive data strategy aligned with their data management goals, offering end-to-end advisory support to ensure seamless data engineering solution delivery.
- Exploratory data analysis
- Data maturity assessment
- Solution conceptualization
- Tech stack selection
- Data engineering solution roadmap development
- Implementation coordination
- Post-launch user support
Data pipeline development
Our data engineering team builds efficient and resilient data pipelines to automate raw data ingestion, transformation, and loading into the target repository, establishing a stable flow of high-quality datasets for diverse use cases.
- Analysis of existing data sources, data flows, and data quality
- Pipeline architecture design
- Batch and real-time data pipelines creation
- Implementing pipeline monitoring and workflow orchestration solutions
- Ongoing pipeline support and optimization
Data storage implementation
We deliver scalable, future-proof data storage solutions to help businesses consolidate vast data volumes and diverse data formats.
- Defining data storage and usage requirements
- Designing and developing suitable solutions, including SQL/NoSQL databases, enterprise data warehouses, data lakes, and lakehouses
- Integrating data storage solutions with corporate systems and third-party data sources
- Post-launch monitoring and support
Data governance
We help companies establish data governance frameworks, including policies, standards, processes, and supporting technologies, to ensure data quality and privacy as well as compliance with regulatory requirements like GDPR, HIPAA, or CCPA.
- Assessing existing data governance policies, security requirements, data infrastructure, and data management workflows
- Data governance framework development
- Delivering solutions for data quality management
- Introducing data security measures like data encryption at rest and in transit, data masking, and role-based access control
Data platform modernization
Our data engineering specialists help businesses modernize their data solutions to align with evolving data management needs.
- Evaluating existing data infrastructure
- Delivering solution performance optimizations and software updates
- Migrating on-premises solutions to cloud-based environments
- Data pipelines re-engineering
- Helping companies transition from legacy systems to modern data solutions
Need help with streamlining your data processes?
5x
reduction in incremental data load time
BI consulting for a CX company
Itransition helped a global CX company assess their BI architecture, reviewing their ELT process, data model and storage, and existing Power BI solution state, identifying root causes of performance degradation, and suggesting ways to optimize the solution. By following our guidelines, the client managed to eliminate system timeouts, reduce Power BI dataset size without losing analytical depth, and optimize their Power BI licensing costs.
BI consulting & data engineering support for a commercial bank
After assessing the client's data architecture and data management and reporting workflows, Itransition's team provided a roadmap and recommendations on how to enhance the existing data environment and implement a BI solution successfully. We also performed data modeling, engineered scalable data stores, redeveloped ETL operations, built a data warehouse, and conducted a detailed comparison of Power BI and Tableau to guide the client's BI platform selection.
~3x
dataset size reduction
BI system modernization for order management
Itransition's experts implemented a new ETL process, built a data warehouse, and migrated 150 reports, helping an international software technology company eliminate the issues caused by their legacy analytics solution. We built a modern BI ecosystem with the Microsoft tech stack, configured row-level security, and transformed legacy table reports into intuitive dashboards.
>95%
emissions reporting accuracy achieved
Emissions tracking platform for a maritime intelligence provider
Itransition implemented a platform for emissions tracking compliant with Sea Cargo Charter standards that combines a central management portal, a data processing center, and a Power BI-based reporting module. The solution ingests voyage data from multiple sources, validates it for anomalies, adapts the submitted data to the defined structure, and automatically updates a central data storage solution with voyage details to facilitate data analytics and reporting.
90x
faster data upload
BI for incident management
Itransition developed a unified, customizable BI solution and helped the client migrate from their database to Microsoft SQL Server. We equipped the solution with drag-and-drop capabilities, realized a multi-step data uploading process, enabling modular and batch data uploading, implemented NLP-powered classification of incident information, and introduced a mechanism for updating and synchronizing uploaded and stored data.
Itransition’s framework for implementing data engineering
solutions
1
Discovery
- Auditing existing data infrastructure
- Outlining current data flows, as well as data security and compliance practices
- Identifying data management needs, pain points, gaps, and goals
2
Architecture design & tech stack selection
- Performing conceptual and logical data modeling
- Establishing data integration and quality management policies and rules
- Designing ETL/ELT pipelines
- Selecting deployment models and appropriate tools
- Devising data access and usage policies
3
Project planning
- Creating a solution implementation roadmap
- Defining project scope, timeline, deliverables, and acceptance criteria
- Planning labor allocation across project tasks, as well as the required infrastructure, tools, and system access
- Identifying project risks and developing risk mitigation strategies
4
Solution development
- Building a data engineering solution
- Integrating the solution with the required systems
5
Testing & deployment
- Performing functional, performance, compatibility, and user acceptance testing
- Deploying the data solution to the production environment
6
Support & maintenance
- Transferring project documentation to the client
- Monitoring the data engineering solution post-launch
- Delivering user training and support
- Resolving post-deployment issues
Technologies & tools we use to deliver data engineering services
Data integration & quality management | Amazon MWAA Apache Airflow Apache NiFi AWS Data Exchange AWS Glue Azure Data Factory Azure Event Grid Azure Event Hubs Azure Functions Azure Stream Analytics Databricks Fivetran IBM InfoSphere Information Server Informatica PowerCenter Matillion Microsoft SQL Server Integration Services MuleSoft Anypoint Platform Oracle Data Integrator Pentaho Talend SnapLogic Striim |
|---|---|
Data storage & warehousing | Amazon Aurora Amazon DynamoDB Amazon EBS Amazon EFS Amazon ElastiCache Amazon RDS Amazon S3 Azure Cosmos DB Azure Data Lake Storage Azure SQL Database Azure Storage Google Cloud Bigtable Google Cloud Firestore Google Cloud Memorystore Google Cloud Spanner Google Cloud SQL Google Cloud Storage IBM Cloud Object Storage Microsoft SQL Server MySQL Oracle PostgreSQL SAP HANA Cloud Snowflake Teradata |
Data security management | Amazon GuardDuty AWS CloudTrail AWS Config AWS IAM AWS Secrets Manager AWS WAF Google Cloud IAM Google Cloud Key Management Service Google Cloud Sensitive Data Protection Google Web Security Scanner Microsoft Sentinel |
What makes Itransition a reliable data engineering partner
Extensive domain experience
For over 15 years, Itransition has been delivering tailored data solutions for companies across industries, including manufacturing, healthcare, retail, and finance. We handle projects of any scale, providing data services to startups, SMBs, and Fortune 500 enterprises.
Partnerships with leading technology providers
Our network of valued partners encompasses diverse tech companies, including leaders such as Microsoft and AWS, which makes us a reliable data engineering service provider which can deliver solutions that best fit the clients’ technical environment. We bring deep technical expertise backed by numerous certifications and follow data engineering best practices to avoid project bottlenecks and system downtime.
Focus on continuous innovation
With a company-wide R&D program and dedicated competency centers where BI is one of our focus areas, we explore emerging technologies and test their market applicability, building specialized expertise to create robust data engineering solutions for our clients and ensure high service quality.
Get expert data engineering assistance to use data to its full potential
Related services
Data management
We offer comprehensive data management services, supporting organizations across the entire data lifecycle and helping them collect, store, secure, and analyze data efficiently.
Data analytics
We deliver solutions that support descriptive, diagnostic, prescriptive, and predictive analytics to enable data-driven decision-making across diverse business functions.
Business intelligence
Our specialists implement scalable solutions that transform structured and unstructured data into actionable insights and deliver them via user-friendly dashboards and reports to help executives, managers, and operational staff make informed business decisions.
Artificial intelligence
We develop AI-driven solutions that automate routine business processes, such as document processing and content generation, enable advanced analytics, forecasting market trends or business outcomes, and facilitate self-service analytics through NLP capabilities.
Big data analytics
We build solutions for large-scale data integration, storage, analysis, and visualization to help companies manage massive datasets and derive actionable business insights from them.
FAQs
Data engineering involves building data pipelines and solutions for data transformation, storage, and delivery to downstream systems with the goal of establishing a robust data foundation for analysis, reporting, machine learning, and other purposes. Data engineering services help companies unlock the full value of data generated daily, which often remains scattered, siloed, and of poor quality, turning it into a valuable asset.
Collaborating with a data engineering services company instead of relying entirely on in-house data engineering teams provides numerous benefits:
- Team scalability to easily adjust data engineering capacity to varying project needs
- Access to niche expertise in the latest technologies and specific frameworks to solve complex data challenges
- Cost savings due to eliminating the need to hire and retain technical talent with specialized skills
- Lower talent management overhead, since there is no need to establish an IT culture with mentorship and training essential for retaining top-tier data engineering professionals
- Ability to delegate complex implementation activities to outsourcing specialists and focus on core operations
- Accelerated development process with no delays tied to recruitment
Data engineers create and maintain data pipelines, build the infrastructure for data extraction, transformation, and loading, implement new data validation techniques, build and optimize data storage solutions, and support the implementation of data governance policies. Data scientists, in turn, leverage advanced techniques and technologies, such as statistical analysis and machine learning algorithms, to identify patterns in data and extract meaningful insights.
The overall cost of a data engineering initiative depends on multiple factors, including the type of services being delivered and solutions being implemented, project scope and duration, data volume and quality, software integration complexity, data solution pricing, infrastructure costs for on-premises and cloud platforms, and user training needs. At Itransition, we offer flexible engagement models and pricing options to help you better manage your project expenditures. Contact us to get a ballpark estimation of your data engineering project.
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Pharmaceutical data analytics suite for a US multinational
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