Services

Video meeting . 15 mins
FREE
Priority DM . 2 days reply
FREE
Video meeting . 30 mins
$40
Popular
Video meeting . 30 mins
$40
Video meeting . 60 mins
$60
Priority DM . 2 days reply
FREE
Video meeting . 30 mins
$40
Video meeting . 30 mins
$40
Video meeting . 30 mins
$40

About me

• Enthusiastic Data Analyst/Engineer with 9+ years of experience in innovating, redefining, and inventing data solutions. A learner, creator, and enabler with a passion for learning. • Skilled in Modern Data Engineering, Analytics and Reporting tools such as Azure Analytics Services, Azure Synapse, Azure Data Platform, Microsoft Business Intelligence (MSBI), Microsoft Excel, Azure Data Factory, Microsoft Power-BI, Netezza, Cognos-BI. • Proficient in designing, modifying, testing, and implementing Modern Data Warehouse and ETL Workflows using SQL, SSIS, Azure Databricks and Azure Data Factory. • Expertise in SQL query optimization & performance tuning. • Knowledge in Analysis Services Tabular Models and Dimensional Modelling. • Proficient in developing various types of reports (Tabular, Matrix, Charts) using SSRS. • Proficient in collecting and cleansing data from various data sources using Power BI. • Proficient in data modelling and creating visually rich informative dashboards data visualizations using Power-Bi. Holds Microsoft certification in Power-Bi (70-778). • Strong expertise in creating complex calculations, measures, and KPIs using DAX. • Skilled in Power Bi reports administration such as distribution, sharing, security, RLS(row level security) and user access management. • Successfully contributed to a data migration project, leading the cloud migration of an on-premises database (Netezza) to Azure, resulted in a significant cost saving of 30%. • Excellent collaborative skills to establish partnerships across various stakeholders. • Ability to work independently and collaboratively depends on the requirement. • Mentored junior developers in the team, providing support, and sharing knowledge. Conducted thorough peer reviews to ensure the quality and accuracy of deliverables. • Exposure to data analysis using Python packages NumPy, Pandas, Matplotlib, etc. • Actively engaged in continuous learning on Data Engineering and AI technologies.