As a data engineer, I have developed a deep passion for creating scalable and efficient data architecture. My expertise lies in building the data transformation in SQL(Snowflake) to create POWER BI strategic reports, and robust data pipelines and implementing complex ETL processes that enable organisations to take valuable decisions from their data.  In my current role, I am responsible for designing, building, and maintaining the ETL, Data transformation in SQL ,and strategic reports(end to end)  for a large FMCG system. I work closely with data scientists, analysts and other stakeholders to understand their data needs and translate them into scalable solutions. This involves designing and data models, optimising model performance, and creating Dynamic SQL queries to load incremental data load for ETL. My experience has also taught me the importance of data quality and governance. I am skilled in developing data quality frameworks that ensure data accuracy, completeness, and consistency required for a project. I have experience in implementing data security on Power BI reports based on role access. I have a strong technical background, with expertise in various data technologies such as, Snowflake, Azure data factory, Power BI. I am proficient in SQL.  In addition to my technical background, I am an excellent communicator and collaborator. I have experience working in cross-functional teams and presenting technical concepts to non-technical stakeholders. I am comfortable in an agile environment and have experience in using agile methodologies such as Scrum. I am constantly learning and staying up to date with the latest data technologies and industry trends. Overall, I am a passionate and dedicated data engineer in creating scalable, efficient and secure data architectures. I am confident in my ability to design and implement data solutions that can help organisations extract value from their data and make data driven decisions.