Dynamic data engineer with 3 years of expertise in Azure cloud technologies, Scala, SQL, and Python. Demonstrated ability in system integration, database design, optimization, and data pipeline development. Skilled in Azure Data Factory, Azure Data Lake Storage, Azure SQL, and Azure Databricks. Proficient in relational and dimensional modelling, big data technologies, and the full software development lifecycle (SDLC). Excels at leveraging cloud platforms to enhance efficiency and performance, delivering innovative solutions in collaborative environments. Proven track record in large-scale client business development and delivery engagements.
Client: Unilever Project: UDL
Employer: Capgemini Technology Services. Duration: Aug 2022 – Till Date
Role: Associate Consultant
Work Location: Gurgaon (INDIA)
Technologies: Azure Data Lake, Azure Data Factory, Azure Blob Storage, Azure Databricks (PySpark), Logic App, DevOps.
Unilever is interested in creating a Universal Data Lake which acts as a single source of truth because they are getting their data from different source systems in different teams. So, they are facing the challenge of data redundancy and network, to overcome this problem they launched this UDL project.
Cloud Exposure: Azure Data Factory, Azure Data Lake, Blob Storage, Databricks, Azure SQL, Logic App and DevOps
Development: OOP (Python, PySpark), Database Programming (SQL)
Big Data: Relational/Dimensional Modeling, Data Warehousing
Process: ELT, ETL and Data Modelling