With over 12 years of experience, I specialize in the design and implementation of Data Warehouse/LakeHouse and analytical systems. My expertise encompasses the full spectrum of data management processes, including the extraction, transformation, and cleansing of data from diverse structured and unstructured sources. I have developed robust Lakehouse and ETL solutions leveraging both Microsoft Azure (including ADLS, Synapse Analytics, Data Factory, Azure SQL) and AWS (S3,Glue, EMR, Athena) platforms, ensuring scalable and efficient data handling.Proficient in handling big data loads utilizing Spark via Databricks for advanced data processing.I also bring foundational DevOps skills for cloud infrastructure setup, alongside experience in developing CI/CD workflows using GitHub Actions, ensuring streamlined and efficient deployment pipelines.My capabilities extend to the creation and deployment of analytical reporting applications across various tools, such as Microsoft PowerBI, SAP Analysis for Office, SAP BEx, and BOBJ 4.x enabling insightful data visualization and decision-making support.In addition to my technical proficiencies, I have a strong background in the SAP BI stack, focusing on enterprise Data Warehousing. This includes hands-on experience with SAP HANA, SAP BW, and BODS, along with SQL development using both Oracle RedLake and Microsoft SQL Server.Skills: - Enterprise Data Warehouse/Lakehouse modeling.- Complex ETL/ELT implementation.- Advanced SQL Development (MS SQL/Oracle/noSQL).- Azure Cloud platform(Azure Data Lake Storage, Azure Data Factory, Azure SQL, Synapse Analytics, Azure Key Vault).- Spark data processing using Databricks.- Python for data engineering.- GitHub Actions CI/CD workflows development- AWS Cloud platform (S3, Glue, EMR, Lambda).- Power BI Data Modeling and Reporting(DAX, Power Query, Dashboards Design).- SAP Suite(SAP BW/BW on HANA, SAP HANA, SAP ECC data extraction).
