Lucky Um
Azure Data Engineer at Capgemini | Specialising in Python | Pyspark | SQL | Azure Databricks | Azure Data Factory (ADF) | ADLS | Data Pipelines | Azure Synapse Analytics | Azure Key Vault | ETL | EDA
- Role
- Azure Data Engineer Consultant at Capgemini
- Location
- Bengaluru, IN
- LinkedIn followers
- 500 followers
Experience
Azure Data Engineer Consultant
Aug 2024 — Present · Bangalore Urban, IN
GCW (Global Channel Warehouse) FastAPP: Data Engineer: • Designed and developed scalable backend components to support real-time and batch data ingestion from global sales and distribution channels. • Implemented ETL pipelines to clean, transform, and load channel data into the centralized warehouse using tools such as [e.g, Apache Spark, Airflow, SQL, Python]. • Developed RESTful APIs to expose warehouse data to internal teams and downstream systems. • Collaborated with cross-functional teams (data science, product, BI) to define data models and reporting structures. • Ensured data quality, integrity, and consistency across different channel sources. • Monitored and optimized system performance, including latency, throughput, and error rates. • Maintained documentation and provided support for onboarding new partners or sales channels into the GCW ecosystem. • Participated in sprint planning, code reviews, and deployment processes as part of the Agile development cycle. • Contributed to the security and compliance strategy by implementing role-based access control and data encryption policies.
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