Technical know-how
Our Expertise
Deep skills on the platforms and tools that define the modern data landscape.
Technology Stack
Proficiency level on the main data technologies.
Lakehouse & Cloud DW
Databricks
Delta Lake
Snowflake
Azure Synapse
Amazon Redshift
Integration & ETL
Informatica IDMC
Informatica PowerCenter
Azure Data Factory
AWS Glue
Apache Airflow
Analytics & Visualization
Power BI
DAX / Power Query
SQL Sémantique
Databricks SQL
Snowflake Analytics
Streaming & Event-driven
Apache Kafka
Confluent Platform
Kafka Streams
Amazon Kinesis
Azure Event Hubs
Governance & Quality
Informatica MDM
Informatica DQ
Unity Catalog
Data Lineage
Great Expectations
Cloud & Backend
AWS (Glue, S3, Lambda)
Azure (ADF, ADLS)
Spring Boot
Docker / Kubernetes
Terraform
Certifications
Certifications & Qualifications
Certifications that attest our expertise on the leading platforms.
Databricks
- Data Engineer Associate
- Data Engineer Professional
- Platform Administrator
Snowflake
- SnowPro Core
- SnowPro Advanced: Data Engineer
Informatica
- IDMC Developer
- PowerCenter Developer
- MDM Implementation
Microsoft Azure
- Azure Data Engineer (DP-203)
- Azure Data Factory
Our Approach
A proven methodology for successful data projects.
01
Architecture Data First
We design the architecture before coding. Every technical choice is justified by business needs.
02
DataOps & CI/CD
Automated testing, pipeline versioning, continuous deployment. Data as code.
03
Cost Optimization
Cloud cost optimization at the heart of every project. We monitor your cloud credits.
04
Documentation & Transfer
Complete technical documentation and skills transfer to your internal teams.
Partner Ecosystem
Young Data is part of the data leaders ecosystem to offer you the best solutions on the market.
Databricks
Lakehouse Platform
Snowflake
Data Cloud
Informatica
IDMC & PowerCenter
Microsoft
Azure & Power BI
AWS
Amazon Web Services
Confluent
Kafka Platform
Spring
Boot & Cloud
Docker
Containerization
Terraform
IaC
Airflow
Orchestration