Azure Data Engineer, Databricks, Spark, MCSE- Data Management and Analytics, MCSA-Machine Learning, Power BI
Mukesh is an experienced data analytics professional with more than 11 years of experience primarily focused on data engineering, data science, and advanced visualization.
Active Certifications:
• Microsoft Certified Solution Expert(MCSE)-Data management and analytics(70-466, 70-467)
• Microsoft Certified Solution Associate(MCSA)-Machine Learning(70-774, 70-773)
• Microsoft Certified Solution Associate(MCSA)-BI Reporting(70-778)
• Azure Data Engineer Associate(DP-200)
• Databricks Academy Accreditation - Delta Lake Essentials
• Databricks Academy Accreditation - SQL Analyst Associate
Core Technical Expertise:
Database: SQL Server 2008/2012/2016/2017, Oracle 10G, MySQL
Azure Data Platform: HDInsight, Azure SQL, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Functions, Cosmos DB, Azure Blobs, Azure Databricks, Azure DevOps.
Machine Learning: Azure Machine Learning Studio, Microsoft Machine Learning Server(R)
Big Data: Databricks, Spark, Delta Lake, Hive
Microsoft BI Services: SSIS, SSRS, SSAS(Tabular)
Programming: SQL, DAX, C#, R, Python, HQL
Development Tools:SSMS,BIDS/SSDT 2008/2010/2015,RTVS 2017,VS 2017/2019, Azure Data Studio
Visualization Tools: Power BI, PowerView, Performance Point Services (PPS), Databricks SQL.
Functional Expertise:
Automation expert
Excellent communication skill
Master Data Management
Enterprise Data Integration and BI
Data warehouse development
Data warehouse automation
Requirement Analysis
Project Management
What I can do:
1-Audit your existing data systems and suggest areas for improvement.
2-Implement new data strategy within your company which includes identifying the business questions you would like to answer with your data, understanding available data and its structure, suggesting the best solution for your business needs, and implementing it.
3-Solve your particular data challenge using Power BI, Power Query, SSAS, DAX, SQL, and M language.
4-Build a modern, dynamic, and real-time management reporting
Work Terms
30+ Hrs/Week
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