Our Services
Complete expertise across the entire data value chain, from cloud platforms to governance and analytics tools.
Data Engineering
Design, development and optimization of robust, scalable ETL/ELT data pipelines.
- Data pipeline architecture (batch & streaming)
- Data modeling (Kimball, Data Vault, One Big Table)
- Orchestration with Airflow, Databricks Workflows
- Performance and cloud cost optimization
- Legacy platform migration and modernization
- DataOps & CI/CD for data
Databricks
Unified Lakehouse architecture with Databricks: large-scale processing, ML and data governance in one place.
- Lakehouse & Delta Lake architecture
- Unity Catalog — centralized governance
- Optimized Spark (Photon engine)
- MLflow & Machine Learning
- Databricks SQL & Serverless
- Delta Live Tables (DLT)
Snowflake
Migration, architecture and cloud-native optimization on Snowflake for high-performance data warehouses.
- Snowflake architecture & migration
- Cost optimization (virtual warehouses, clustering)
- Data Sharing & Marketplace
- Snowpark (Python, Java)
- Dynamic Tables & Streams
- Security & advanced RBAC
Power BI
Professional Power BI reports and dashboards with advanced semantic modeling.
- Interactive reports & dashboards design
- Advanced DAX semantic modeling
- Power BI Service / Embedded deployment
- Dataflows Gen2 & Datamarts
- Power Query & M transformations
- Row-Level Security (RLS) & governance
Spring Boot
Java/Spring Boot microservice development for data-intensive architectures and data APIs.
- Spring Boot & Spring Cloud microservices
- REST & GraphQL APIs for data
- Integration with data platforms (Kafka, JDBC)
- Spring Security & JWT
- Unit & integration testing
- Docker / Kubernetes containerization
Kafka & Confluent
Real-time event-driven architecture and streaming with Apache Kafka and Confluent Platform.
- Kafka architecture & topic design
- Kafka Streams & ksqlDB
- Confluent Platform & Cloud
- Schema Registry & Avro/Protobuf
- Kafka Connect (sources & sinks)
- Monitoring & offset management
AWS
AWS data services: Glue, Redshift, S3, Lambda, Kinesis for modern cloud data architectures.
- AWS Glue (serverless ETL)
- Amazon Redshift & Redshift Spectrum
- S3 Data Lake architecture
- AWS Lambda & Step Functions
- Amazon Kinesis (streaming)
- Lake Formation & Athena
Informatica IDMC & On-Premise
Full Informatica expertise: IDMC cloud platform and on-premise solutions for integration and governance.
- Informatica IDMC (Cloud Data Integration)
- Informatica PowerCenter (on-premise)
- Cloud Data Quality & Profiling
- API & Application Integration
- Data Governance & Catalog
- PowerCenter → IDMC migration
MDM — Master Data Management
MDM solution implementation for a 360° view of your master data: customers, products, suppliers.
- MDM design & implementation
- Informatica MDM Hub
- Master data modeling
- Deduplication & matching processes
- Customer, product, supplier repositories
- MDM ↔ operational system integration
Data Quality
Audit, measurement and continuous improvement of your data quality for reliable decisions.
- Data quality audit & profiling
- Business rules & quality KPIs definition
- Tool implementation (Informatica DQ, Great Expectations)
- Data lineage & traceability
- Real-time quality dashboards
- Remediation processes
Analytics & BI
From operational reporting to advanced analytics, transform your data into actionable insights.
- BI architecture & semantic layer
- Self-service analytics
- Data-driven KPIs & OKRs
- Embedded analytics
- Automated reports & alerting
- Exploratory predictive analytics
Have a project in mind?
Contact us to discuss your needs and get a tailored proposal.
Talk to an expert