business intelligence (Data Analyst) | data engineer

Personal summary

🌟 Motivation We live in a data-driven world where most strategic decisions are made based on data analysis and interpretation, and I would love to be part of this world. I got into this field I believe I have good problemsolving skills and a holistic approach to looking toward the business and data life cycle. “I love to work on data processing, analysis, reporting, and visualization as it provides a great opportunity to understand the business very closely and it helps to provide meaningful insights and stories by curating the data into a form that is easier to understand”. 💼 Career Aspiration Business intelligence Consultant | Data engineering | Data analyst 👩‍💻 Skills Database : Oracle , MS SQL, MySQL, Hive, Azure Cloud DB ,Snowflake , SAP HANA Data modelling : Relational DB (OLTP), Star and Snowflake Kimball , Dimensional modelling Data analysis and visualisation : Excel, Tableau,, tableau server and cloud , Power BI Desktop ,SSRS,SSAS, Python (NumPy, Pandas) Data engineering: Azure data factory, Tableau Prep , Power query , PySpark , PLSQL, SSIS, Informatica

Skills

SQL10 PLSQL10 Tableau3 Microsoft Power BI2 Microsoft SQL-Server (MS SQL)3 Python1 pyspark1 Microsoft Azure1 azure data factory1 Data analysis4