Vishwanath Bengaluru India

Vishwanath

Microsoft SQL Database Trainer in Bengaluru
Location
Bengaluru, India
Trainer Since
January, 2023
Microsoft Azure Fundamentals
Microsoft SQL Database
Location
Bengaluru, India
Trainer Since
January, 2023
Microsoft Azure Fundamentals
Microsoft SQL Database

Microsoft SQL Database Trainer in Bengaluru

About Vishwanath

Vishwanath is a highly accomplished professional with expertise in Microsoft SQL database, Azure AI Certification, Python, and Data Science. With a strong foundation in these areas, he has consistently delivered exceptional solutions and insights that drive data-driven decision-making and business success.

As an expert in Microsoft SQL databases, He deeply understands database design, administration, and optimization. His SQL query optimization and database management proficiency enable him to develop efficient and scalable database architectures that effectively store and retrieve data. His expertise in the Microsoft SQL database empowers him to ensure data integrity, security, and accessibility, enabling organizations to make informed decisions based on reliable and accurate data.

In addition to his expertise in the Microsoft SQL database, Vishwanath also holds Azure AI Certification, showcasing his ability to leverage artificial intelligence technologies within the Azure ecosystem. He is skilled in developing AI-powered applications, implementing machine learning models, and utilizing Azure AI services to extract meaningful insights from data. His proficiency in Python, a popular programming language for data science, further enhances his capabilities as a Data Scientist. His expertise in data analysis, statistical modeling, and machine learning algorithms enables him to uncover valuable patterns and trends within complex datasets, providing organizations with actionable insights and predictive analytics that drive strategic decision-making.

Vishwanath is a Corporate Trainer For

Microsoft Azure Fundamentals

Training Since:
January, 2023

Microsoft SQL Database

Training Since:
January, 2023

Work Experience

Senior Data Engineer

Healthcare:
March, 2023 - present

Roles & Responsibilities

  • Creating and maintaining dashboards on Azure Data Explorer (ADX/Kusto)
  • Creating Azure Logic App workflows to get real-time data and ingest it into ADX
  • Managing and maintaining the Data Analytics platform
  • Reducing the overall cost of the platform by taking necessary actions using the insights from the dashboards
  • Designing and implementing scalable and efficient data architecture solutions to support data ingestion, processing, and storage
  • Integrating data from various sources, including structured and unstructured data, into the company's data systems, ensuring data quality and consistency
  • Developing and maintaining data transformation pipelines using technologies like Apache Spark or Hadoop, ensuring accurate and reliable data processing
  • Implementing data quality checks and validations to identify and resolve inconsistencies and anomalies ensures data accuracy and reliability

Platform Support Analyst (Data Engineer)

Media and Entertainment:
August, 2021 - March, 2023

Roles & Responsibilities

  • Created a support model for various BI Projects by collaborating with Team leads and Project Managers
  • Revised the support model based on the changing requirements and started supporting various projects like Merkle CXM BI, GFDR, Utilization, RCOE, and other internal projects
  • Solved the issues on these projects by correcting the reports (Azure Analysis Service, Power BI, and Tableau) or by correcting the logic used in the data pipelines (Azure Data Factory, Azure Synapse Analytics, and Azure Data Bricks)
  • Created technical documentation for all the projects with detailed issues and the existing solutions
  • All the issues on the reports are tracked through ServiceNow and will be updated for users using the same tool
  • Helped new hires to go through the projects and gave all the necessary access to the projects. Also gave initial knowledge transfer (KT) on the Projects
  • The Azure Data Factory pipeline (ADF) and Power BI reports were updated by implementing a new business logic. Delivered the changes within the scrum period
  • Documented all the Data Engineering and Visualization processes with technical details on Confluence and regularly updated with new versions
  • Monitored the ADF Triggers and other Azure scheduled jobs daily so that the latest data was available for reporting. Fixed the errors and job failures when they occurred

Data Engineer (Consultant)

Research and Development :
August, 2018 - July, 2021

Roles & Responsibilities

  • Backed developer for DATA BEE reporting platform. Created Data Models, Data Pipelines, Data Integrations, and Many SQL Server Objects like Tables, Views, Stored Procedures, Functions, and Complex queries for business logic
  • Achieved 99% uptime of the platform by maintaining data Pipelines
  • Created CISM Solution Finder (CISM is a Ticketing Tool) Machine Learning based solution. Here we helped engineers to save > 50% of their time by providing possible way of solutions also gave them the next ten days' forecast of no of tickets so that they could plan their work accordingly
  • Created many server architectures (Operation Models - OPM) for the new reporting platform DATA BEE. Finalized the architecture by doing a brainstorm with Tech Leads and Managers. This new Architecture increased the efficiency to 75% by reducing load times and errors
  • Created a data lake using SQL Server, which became a centralized storage for all reporting data sources. Reporting, Analytics, and many other teams can directly connect to this data lake and get the data. Also created APIs for accessing data for other teams

Skills

Microsoft SQL Server
SQL
Azure
Azure Data Factory
Azure Synapse Analytics
Power BI
Azure Analysis Service
Machine Learning
Data Science
Python
Programming
Azure AI
Artificial Intelligence
Time Management
Team Management
Communication Skills

Education

Bachelor of Engineering

Information Science:
2014-2018

Post Graduation

Artificial Intelligence and Machine Learning:
2020-2021

Projects

Work Place Reporting (WPR) - Internal Project.

Research and Development :
September 2018 - July 2021

MERKLE CXM BI (DENTSU GLOBAL BI PLATFORM)

Healthcare:
August 2021 - March 2023

DATA BEE PLATFORM

Research and Development :
August 2018 - July 2021

D365 F&O (Finance Reporting)

Healthcare:
August 2021 - March 2023

Timesheets Utilization

Healthcare:
October 2021 - March 2023

Posts

Work Place Reporting (WPR) - Internal Project.

Research and Development :
September 2018 - July 2021

MERKLE CXM BI (DENTSU GLOBAL BI PLATFORM)

Healthcare:
August 2021 - March 2023

DATA BEE PLATFORM

Research and Development :
August 2018 - July 2021

D365 F&O (Finance Reporting)

Healthcare:
August 2021 - March 2023

Timesheets Utilization

Healthcare:
October 2021 - March 2023

Courses

Microsoft Azure Fundamentals
Microsoft SQL Database

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