As a Data Engineer at Infosys, I specialize in designing and implementing data warehousing environments and developing scalable and reliable data solutions. Working with the Business Intelligence team and operational stakeholders, I design and implement both the data presentation layer available to the user community, as well as the underlying technical architecture of the data warehousing environment. I have experience in independently analyzing and solving complex issues in real-time, providing end-to-end problem resolution. Additionally, I have developed ETL processes that transform raw data into SQL databases and have used cloud technologies such as Azure SQL server.
Before joining Infosys, I worked as a Data Analyst at Amneal Pharmaceuticals and Cipla Pharmaceuticals, where I gained end-to-end experience in designing and deploying data visualizations using Power BI. I also gathered business requirements from JRD sessions, designed logical models based on business requirements, optimized stored procedures, and developed and deployed database objects in SQL Server. I have experience in analyzing historical data and extracting required data to support management decisions, as well as in monitoring and resolving deadlocks in SQL Server databases with locks, isolation levels, and SQL Profiler.
In addition to my technical skills, I am proficient in Python Panda, Naumpy, Metplotlib, and Seaborn for data gathering, wrangling, analysis, and visualization. I also have experience in hypothesis testing and A/B testing.
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