About
Data Engineering & ETL
Design, build, and maintain scalable data pipelines and ETL/ELT workflows to ingest, transform, and deliver data across the enterprise Optimize pipeline performance, reliability, and monitoring; implement alerting for data quality issues and failures Work with structured, semi-structured, and unstructured data sources (APIs, databases, flat files, streaming)
Azure & Cloud Infrastructure
Hands-on experience with Azure data services: Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Azure SQL Deploy and manage cloud-based data infrastructure; leverage Azure DevOps for CI/CD of data workflows Apply cloud cost optimization best practices and enforce security/governance standards (RBAC, encryption, compliance)
Data Modeling
Design and implement dimensional and relational data models (star/snowflake schemas, normalized models) to support analytics and reporting Collaborate with data architects and business stakeholders to translate requirements into logical and physical data models
Languages
- English
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