Rajiv Jamshedpur India
Rajiv
Google BigQuery Trainer in Jamshedpur
Location
Jamshedpur, India
Trainer Since
April, 2018
Google BigQuery
Amazon Web Service
.NET Framework
Location
Jamshedpur, India
Trainer Since
April, 2018
Google BigQuery
Amazon Web Service
.NET Framework
Rajiv - Google BigQuery Trainer in Jamshedpur, India | Edstellar
Rajiv
About
Trainer for

Google BigQuery Trainer in Jamshedpur

About Rajiv

Rajiv is a highly skilled and experienced cloud computing professional specializing in Google BigQuery, Amazon Web Services (AWS), and .NET development. With a deep understanding of these technologies, he has successfully delivered numerous projects and solutions that have driven significant business value for his clients. As an expert in GCP BigQuery,  he possesses a profound knowledge of data warehousing and analytics. He has demonstrated his expertise in designing and implementing scalable data architectures, optimizing query performance, and leveraging advanced analytical functions to extract valuable insights from large datasets. His proficiency in managing data pipelines, integrating various data sources, and building robust ETL processes has enabled organizations to make data-driven decisions and gain a competitive edge.

Furthermore, Rajiv's extensive experience with Amazon Web Services has positioned him as a reliable resource for cloud-based solutions. He has a proven track record of designing and deploying highly available, scalable, and secure applications on AWS. Whether leveraging AWS services like EC2, S3, and Lambda or configuring complex networking and security architectures, Rajiv has consistently delivered solutions that meet his client's requirements while adhering to best practices and industry standards. In addition to his cloud expertise, He is well-versed in .NET development, making him a versatile professional who can handle end-to-end application development. He has a strong command of the .NET framework, C#, and related technologies, enabling him to build robust and efficient web applications, APIs, and services. With his expertise in cloud-native development, He has effectively utilized .NET to create scalable and performant solutions that integrate seamlessly with cloud platforms like GCP and AWS.

Overall, Rajiv's combination of skills in GCP Big Query, Amazon Web Services, and .NET development makes him a valuable asset for any organization seeking to leverage the power of cloud computing and data analytics. His ability to design and implement scalable, efficient, and secure solutions has consistently contributed to the success of his client's projects.

Rajiv is a Corporate Trainer For

Google BigQuery

Training Since:
April, 2020

Amazon Web Service

Training Since:
April, 2021

.NET Framework

Training Since:
June, 2021

Work Experience

Corporate Trainer

Manufacturing:
October, 2022 - present

Roles & Responsibilities

  • Conduct technical consultancy and solution design for clients in the manufacturing sector, specifically focusing on the steel industry. Involves analyzing existing systems, identifying areas for improvement, and providing recommendations for technical solutions that align with business objectives
  • Deliver training sessions on Dotnet programming language, covering fundamental concepts and advanced topics. Includes creating comprehensive training materials, developing hands-on exercises, and guiding participants through practical coding exercises to enhance understanding and proficiency in Dotnet development
  • Provide training on cloud technologies, specifically AWS (Amazon Web Services) and GCP (Google Cloud Platform). Involves educating participants on various cloud services and best practices for cloud architecture and guiding them in deploying applications and managing cloud resources effectively
  • Conduct training sessions on the Internet of Things (IoT), focusing on its application in manufacturing. Includes explaining the underlying principles of IoT, discussing relevant use cases, and guiding participants in designing and implementing IoT solutions that improve operational efficiency and enable data-driven decision-making
  • Customize training programs to meet client's specific needs and requirements in the manufacturing sector, ensuring that the content and delivery methods align with organizational goals and challenges. Involves assessing the participants' skill levels, understanding learning objectives, and tailoring the training materials and activities accordingly
  • Stay updated with the latest advancements and trends in the technical domains of expertise, including manufacturing, Dotnet, cloud technologies (AWS, GCP), and IoT. Continuously expand knowledge and skills through self-learning, attending relevant industry conferences, and networking with experts in the field
  • Enables the corporate trainer to provide up-to-date and relevant insights during training sessions, keeping participants informed about the latest developments in their respective domains

Senior Technologist

Steel:
February, 1999 - August, 2021

Roles & Responsibilities

  • Developed and implemented automation strategies aligned with the business objectives of Tata Steel to improve operational efficiency and productivity
  • Identified opportunities for process automation and implemented robotic process automation (RPA) solutions to streamline and optimize workflows
  • Assessed emerging automation technologies and tools, conducted feasibility studies, and made recommendations for their adoption in Tata Steel's operations
  • Led automation projects from conception to deployment, ensuring adherence to project timelines, budgets, and quality standards
  • Collaborated with cross-functional teams, including operations, IT, and business units, to understand their requirements, gathered feedback, and drove the successful implementation of automation initiatives

Skills

Cloud
AWS
GCP
IOT
Dotnet
Time Management
Team Management
Communication Skills

Education

Bengal Engineering College

Computer Science:
1989-1992

Projects

Posts

Courses

Google BigQuery
Amazon Web Service
.NET Framework

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