Naveen Bengaluru India

Naveen

API Testing Trainer in Bengaluru
Location
Bengaluru, India
Trainer Since
July, 2018
Data Science
Test Automation
API Testing
Cucumber
PySpark
Kufka
Docker
Kubernetes
Spring Boot
Rest API
Location
Bengaluru, India
Trainer Since
July, 2018
Data Science
Test Automation
API Testing
Cucumber
PySpark
Kufka
Docker
Kubernetes
Spring Boot
Rest API
Naveen - API Testing Trainer in Bengaluru, India | Edstellar
Naveen
About
Trainer for

API Testing Trainer in Bengaluru

About Naveen

Naveen is an accomplished corporate trainer with over six years of dedicated experience in the training industry. His expertise spans Data Science, Test Automation, API Testing, Cucumber, PySpark, Kafka, Docker, Kubernetes, Spring Boot, and REST API, making him a sought-after professional in the corporate training landscape.

With a strong foundation in Data Science, Naveen is proficient in transforming complex datasets into actionable insights, enabling organizations to make data-driven decisions. His deep understanding of statistical methods, machine learning algorithms, and data visualization techniques empowers participants to harness the full potential of data science in their respective fields.

In the realm of Test Automation, Naveen’s knowledge is extensive. He is adept at designing and implementing robust test automation frameworks that streamline the testing process, reduce manual efforts, and enhance the overall quality of software products. His practical approach to automation ensures that organizations can achieve higher efficiency and reliability in their testing procedures.

API Testing is another area in which Naveen excels. His expertise in API testing tools and methodologies ensures that APIs are thoroughly tested for functionality, performance, and security. By imparting best practices and hands-on training, Naveen equips teams with the skills needed to validate and verify their API endpoints effectively.

Naveen’s proficiency with Cucumber further enhances his training capabilities. He is skilled in utilizing this powerful tool to create clear and understandable test scenarios that bridge the gap between technical and non-technical stakeholders. His ability to integrate Cucumber into the testing lifecycle ensures seamless communication and collaboration within development teams.

Expanding his expertise, Naveen is also well-versed in PySpark, Kafka, Docker, Kubernetes, Spring Boot, and REST API. His knowledge in PySpark allows him to train teams on processing large datasets efficiently using distributed computing. With Kafka, he teaches participants how to manage real-time data streams effectively. His experience with Docker and Kubernetes equips professionals with the skills to containerize applications and manage their orchestration in complex environments. In Spring Boot, Naveen guides learners through building robust and scalable Java-based applications, while his understanding of REST API ensures that participants can develop and integrate APIs smoothly.

Naveen’s training sessions are known for their clarity, engagement, and practical relevance. He is committed to empowering professionals with the knowledge and skills necessary to excel in the fast-paced world of technology. With a passion for continuous learning and development, Naveen remains at the forefront of industry trends and advancements, ensuring that his training programs are always up-to-date and impactful.

Naveen is a Corporate Trainer For

Data Science

Training Since:
July, 2018

Test Automation

Training Since:
July, 2019

API Testing

Training Since:
July, 2018

Cucumber

Training Since:
July, 2019

PySpark

Training Since:
August, 2018

Kufka

Training Since:
August, 2018

Docker

Training Since:
August, 2018

Kubernetes

Training Since:
August, 2018

Spring Boot

Training Since:
August, 2018

Rest API

Training Since:
August, 2018

Work Experience

Corporate Trainer

Computer and Information Technology (IT):
May, 2010 - present

Roles & Responsibilities

  • Design, create, and conduct engaging training sessions and workshops to address specific skills and knowledge gaps within the organization
  • Collaborate with management and employees to identify training needs and evaluate the effectiveness of training programs through surveys, feedback, and performance metrics
  • Develop comprehensive training materials, including presentations, handouts, and online resources, to support various training methodologies and ensure content is relevant and up-to-date
  • Lead interactive training sessions that encourage participant engagement, foster a positive learning environment, and facilitate skill development through various instructional techniques
  • Providing feedback and coaching to improve performance, and continuously refine training programs based on evaluation results and industry trends

Senior Data Engineer

Computer and Information Technology (IT):
September, 2018 - December, 2021

Roles & Responsibilities

  • Developed and maintained scalable data pipelines to ensure the efficient collection, processing, and storage of large volumes of data from various sources
  • Enhanced and optimized existing data infrastructure, including databases and data warehouses, to improve performance, reliability, and scalability
  • Coordinated the integration of data from diverse sources, including internal databases, external APIs, and third-party services, ensuring data consistency and accuracy
  • Directed and managed complex data engineering projects, including the development of data models, ETL processes, and data warehousing solutions, while collaborating with cross-functional teams
  • Implemented data quality and security measures to protect sensitive information and ensure compliance with relevant regulations and standards

Big Data Developer

Computer and Information Technology (IT):
November, 2014 - August, 2018

Roles & Responsibilities

  • Developed and executed robust data pipelines using Big Data technologies such as Hadoop and Spark to handle and process large volumes of data efficiently
  • Refined data models, and wrote complex queries to ensure efficient data retrieval and processing
  • Combined and consolidated data from multiple sources, including databases, APIs, and real-time data streams, to build comprehensive datasets for analysis
  • Maintained data quality by implementing data validation, cleansing processes, and error-handling procedures
  • Worked closely with data scientists, analysts, and engineers to understand data requirements and deliver solutions that supported business objectives and decision-making processes

Java Software Developer

Computer and Information Technology (IT):
January, 2010 - September, 2013

Roles & Responsibilities

  • Maintained Java-based applications, including user interfaces, business logic, and backend systems, ensuring they met project requirements and industry standards
  • Reviewed and analyzed code written by peers to ensure quality, adherence to coding standards, and effective implementation of design patterns
  • Identified, diagnosed, and resolved software defects and performance issues, using debugging tools and techniques to maintain application stability and performance
  • Worked closely with other developers, analysts, and stakeholders to gather requirements, design solutions, and integrate software components
  • Created and updated technical documentation, including design specifications, user manuals, and system configuration guides, to support ongoing development and future maintenance

.NET Developer

Computer and Information Technology (IT):
June, 2009 - December, 2009

Roles & Responsibilities

  • Developed and maintained applications using the .NET framework, ensuring high performance and responsiveness across various platforms
  • Designed and implemented user interfaces and application features based on client requirements and specifications
  • Integrated various APIs and third-party services to enhance the functionality and interoperability of applications
  • Conducted code reviews and performed unit testing to identify and resolve bugs, ensuring code quality and reliability
  • Collaborated with cross-functional teams, including designers, project managers, and other developers, to deliver seamless and functional software solutions

Skills

Microsoft Power BI
Java
Azure Data Factory
Hibernate
Azure Data Lake
Cloud Computing
SQL
Python
PySpark
Big Data
DevOps
Selenium
Machine Learning
Artificial Intelligence
Hadoop
Data Science
Data Engineering
Microservices
AWS
Java Full Stack
Azure Data Factory
Artificial Intelligence (AI)
Azure Databricks
Hive
Apache Spark Streaming
Apache Spark
Maven
Selenium WebDriver
TestNG
JUnit
MongoDB

Education

Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya

Computer Science:
2005-2009

Projects

Posts

Courses

Data Science
Test Automation
API Testing
Cucumber
PySpark
Kufka
Docker
Kubernetes
Spring Boot
Rest API

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