Data Pipeline Development: Design, build, and maintain robust ETL/ELT pipelines for efficient data ingestion, transformation, and integration from diverse sources.
Data Warehousing: Architect and optimize data warehouse solutions using Snowflake, ensuring scalability, performance, and reliability.
Streaming Data Pipelines: Develop and manage real-time data streaming pipelines using technologies such as Kafka and Debezium.
ERP Integration: Collaborate with ERP system teams to ensure seamless integration of enterprise data into the data ecosystem. Understand SSO, embedded reporting scenarios.
BI and Reporting: Work with BI tools (e.g., OAS, Domo, etc) to enable embedded reporting solutions and provide actionable insights.
Data Modeling: Design scalable data models (e.g., star schema, snowflake schema) to support analytics and reporting needs.
Collaboration: Partner with cross-functional teams including to understand requirements and deliver tailored solutions.
System Monitoring & Optimization: Monitor system performance, troubleshoot issues, and implement optimizations to enhance efficiency.