Welcome to my Portfolio

I AM

image
Hello,

I'm Bibhuti bhusan sahoo

I'm a highly accomplished Full Stack Developer with a strong foundation in mathematics, holding a Master's degree in Computer Applications. My skill set spans a wide range, including Software Development, Data Science, and Blogging. I specialize in Java, Spring Boot, ReactJS, and SQL, excelling in crafting efficient SQL queries and seamlessly integrating data into Java applications using jQuery. My proficiency extends to tools like DBeaver, enabling me to connect and test queries across diverse database environments. I'm dedicated to optimizing data retrieval and system performance while upholding data integrity. With a solid foundation in MongoDB, I bring versatility to data management. My goal is to create innovative web solutions and robust software, continuously evolving my skills to stay at the forefront of technology.


Education
Indira Gandhi Institute of Technology

Master of Computer Application(2018-21)

Utkal University

Bachelor of Science(2014-17)

Prachi Academy High School

Matriculation(2012)


Experience
Full Stack Java Developer

Capgemini (Feb 2022 to Present)

Odoo Developer

Nettantra (Oct 2021 to Jan 2022)

Data Science and Advanced Analytics Virtual Experience Program

BCG

Data Analytics Consultant Virtual Internship

KPMG


My Skills
Spring Framwork
Java 8
FrontEnd: React Development
Database : MYSQL,MONGODB,SQL Script
Kafka and Rabbit MQ
Junit And Integration Testing
Swagger Doc.
Git
Bamboo And PCF
Tableau And Power BI

10

Awards Won

5

Total Experience

45

Projects Done

156

Event Attends

WHAT CAN I DO

Service Description
Java Full Stack Role
  • I developed Java modules using Spring Boot, Java 8 (Stream API, Collectors, Multithreading) for business rules and workflows.
  • I designed REST-based Microservices and created Single-page web applications with ReactJS, deploying them in development.
  • Employing Spring Core with DI, I built RESTful web services.
  • GIT ensured Source Control and Version Management.
  • Testing included Junit, Mockito, and Swagger, Postman for REST API.
  • I emphasized Junit integration testing and maintained well-structured code commits.
ReactJS Development
  • As a ReactJS developer, I specialize in building dynamic and responsive single-page web applications.
  • With a strong grasp of React and its ecosystem, I design and develop user-friendly interfaces that enhance the overall user experience.
  • Proficient in state management, routing, and component-based architecture, I ensure efficient data flow and seamless navigation.
  • My skills extend to integrating RESTful APIs, optimizing performance, and adhering to best practices.
  • Collaborative by nature, I work effectively in cross-functional teams, prioritize clean and maintainable code, and stay updated with emerging trends.
  • My goal is to create innovative, user-centric web solutions while continuously honing my expertise.
SQL Query Specialist
  • As an SQL Query Developer, I specialize in crafting efficient database queries to retrieve and manipulate data.
  • In our Java programs, I utilize jQuery to fetch and integrate data into various model layers, ensuring seamless data-driven functionality.
  • Extensively using tools like DBeaver, I establish connections across diverse database environments, including team development, core, and staging.
  • My role involves performing comprehensive testing on the queries I develop to ensure accuracy and reliability.
  • Additionally, I possess a foundational understanding of MongoDB, allowing for versatility in data management.
  • My goal is to optimize data retrieval and enhance system performance while maintaining data integrity across various platforms.
Agile Used Cases
  • We extensively use Agile methodology in our daily activities to ensure efficient project management and delivery.
  • We utilize Jira to track user stories, tasks, and project progress, enabling transparent and collaborative work.
  • Every sprint, we conduct retrospectives to reflect on our performance, identify areas for improvement, and make adjustments for the next iteration.
  • Version control is maintained using Bitbucket, which helps us manage code changes, collaborate on code reviews, and ensure code quality.
  • For code deployment, we rely on Bamboo, which automates the build and deployment processes, ensuring a smooth and reliable release cycle.
  • We monitor our applications and services using PCF (Pivotal Cloud Foundry) to maintain their health, performance, and scalability.
Odoo Development
  • Develop new modules into the Odoo ERP.
  • Integrate different 3rd party systems as modules into the Odoo ERP.
  • End to End implementation of the Odoo ERP system as per the business needs.
  • Customize and maintain existing modules of the Odoo ERP.
  • Please Do Checkout my Apps for Odoo App Store.
Machine Learning
  • Design and develop Machine Learning systems and schemes.
  • Perform statistical analysis and fine-tune models using test results.
  • Find available datasets online for training purposes.
  • Train and re-train ML systems and models as and when necessary.
  • Research, experiment with, and implement suitable ML algorithms and tools.
  • Analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by their success probability.
SOME OF WORK

Software Architecture & Design of Modern Large Scale Systems

 



Description

Are you ready to take your career to the next level?

Do you want to master Software Architecture and System Design?

You came to the right place!

In this practical course, you will learn how to architect real-life systems that scale to millions of daily users, as well as process and store petabytes of data.

If you aspire to become a Software Architect, or you are already a Software Architect, and you need a good refresher, this is your best resource.

This is also the perfect place for you to prepare and gain confidence for an upcoming System Design Interview.

Some of the things you will learn include:

  • Identifying the technical requirements of the systems without missing any details

  • Defining easy-to-use and robust APIs

  • Applying modern Architectural Building Blocks & techniques for High ScalabilityAvailability, and Performance

  • Following industry-proven Software Architecture Patterns & best practices

  • Architecting highly scalable systems for massive internet traffic and Big Data Processing

  • Thinking and making trade-offs like a true professional Software Architect

By the end of the course, you will have all the skills you need to take on an ambiguous and high-level requirement and go through all the stages of a system design, all the way to its final Software Architecture.

Although this course does not involve coding, it is a highly practical course that will give you the fundamental knowledge for building real-world systems.

All the techniques and patterns covered in the course are used by top software companies.

In addition to the video lectures, you will also find

  • Many resources related to the topics covered in the course.

  • Quizzes that will help you validate your progress and review the course material

  • External links to relevant articles and videos to enhance your learning experience

This course is perfect for you if:

  • You want to master Software Architecture, a topic that is not usually taught in colleges or coding bootcamps

  • You want to become a Software Architect or a senior member of technical staff, such as a Senior / Principal Software Engineer or Technical Lead.

  • You are preparing for a System Design Interview and want to increase your chances for success, as well as stand out from the crowd of candidates.

AWS Certified Solutions Architect


 

Appreciation Of Performance



 


Payment Gateway system Fintech

 


Learn the business side of the Payment Gateway system. A practitioner's course on Payment Gateway. Digital Payments

What you'll learn

  • Practical challenges, Business Negotiation and Strategies
  • Become a Payment Gateway Business practitioner.
  • Smart Tips for Strategy and Negotiations
  • Verified by VISA and Mastercard secure code
  • PCI DSS and Five Integration models
  • Chargeback and Refunds
  • Critical Evaluation Factors


Description

It will help you immensely if you are a Product or a Project manager, Strategic alliance lead, fresher to the payment gateway or digital payment industry, a trainer, or just curious to know about the Payment Gateway systems and strategies.

Please go through the curriculum thoroughly before purchasing the course"

A most important aspect of any digital and cash lite economy is its adoption by merchants and customers, and both prefer the simplest, cheapest and efficient system. Among such digital payment tools Payment Gateway is a preferred tool to accept online or card, not present transactions.


In this business-oriented course we will learn;

Basics of Payment Gateway, Parties in a PG, Type of Transactions, CP, CNP Three tiers, Transaction flow, PCI DSS in PG - Integration models, Chargeback and refunds, Processing Clearing Settlement, Fund Flow settlement. Critical Evaluation Factors, Risk, Verified by VISA and Mastercard secure code, Strategy and negotiations. Payment Processing

FinTech Digital Banking, Digital Finance, Financial Technology, Digital Payments

After completing and reflecting well on the discussed points, you will have a good understanding of Payment Gateway and QR Code business and its back end processes and challenges.

This course is part of the combo course on Payment Gateway and QR code titled "FinTech - Practitioner course on Payment Gateway and QR Code". Please opt for this course if you want to learn only about Payment Gateway and not QR code.

Look forward to meeting you in the course.

Spring Cloud Data Flow Cloud Native Data Stream Processing

 

Cloud Native Microservice based Streaming and Batch data processing for ETL, import/export, predictive analytics, etc

What you'll learn

  • Architecture of Spring Cloud Data Flow
  • Skipper Server, Spring Data Flow Server, Spring Data Flow Shell installation and configuration
  • Microservice based Streaming and Batch data processing
  • Examples with ETL, import/export, even streaming and predictive analytics
  • Examples with Twitter Sentiment Analysis, TensorFlow Object Detection
  • Install and Configure Spring Cloud Data Flow Ecosystem in Docker
  • Configure Grafana Dashboard for Stream Visualization

Description

  • Understand the technical architecture along with installation and configuration of Spring Cloud Data Flow Applications.
  • Create basic to advanced Streaming applications like time logger to TensorFlow Image Detection Stream Flow.


You will learn the following as part of this course.

  • Architecture of Spring Cloud Data Flow
  • Components of Spring Cloud Data Flow like Skipper Server, Spring Cloud Data Flow Server, Data Flow Shell
  • Using Data Flow Shell and Domain Specific Language (DSL)
  • Configuring and usage of message brokers like RabbitMQ, Kafka
  • Installation and configuration of Spring Cloud Data Flow Ecosystem in Amazon Web Service (AWS) EC2 Instances
  • Configuring Grafana Dashboard for Stream visualization
  • Configuration of Source, Sink and Processor
  • Creating custom Source, Sink and Processor application
  • Coding using Spring Tool Suite (STS) for custom code development
  • Working with Spring Data Flow WebUI and analyzing logs on runtimes

This course is designed to cover all aspects of Spring Cloud Data Flow from basic installation to configuration in Docker as well as creating all type of Streaming applications like ETL, import/export, Predictive Analytics, Streaming Event processing etc.,

Few working examples/usecases are covered to have better understanding like

Data extracting and interaction with JDBC database

Extracting Twitter Data (Tweets) from Twitter

Sentiment analysis, Language Analysis and HashTag Analysis on Tweets from Twitter

Object Detection/Prediction using TensorFlow processor

Pose Prediction using TensorFlow Processor

Hibernate, JPA (Java Persistence API) and Spring Data JPA using Spring and Spring Boot


 

What you'll learn


  • You will learn the basics of JPA and Hibernate - Entities, Relationships, Inheritance Mappings and Annotations
  • You will understand approaches to querying data using JPA and Hibernate - JPQL, Criteria API and Native Queries
  • You will understand JPA and Hibernate Relationships in depth - One to One, Many to One and Many to Many
  • You will use a variety of Spring Boot Starters - Spring Boot Starter Web, Starter Data Jpa, Starter Test
  • You will learn the basic of performance tuning your JPA application with Hibernate - Solve N+1 Queries Issue
  • You will learn the basics of caching - First Level Cache and Second Level Cache with EhCache
  • You will understand the basics of Spring Data JPA and Spring Data REST


Description


Hibernate is the most popular Java ORM framework.  Almost every Real World Project today uses JPA and Hibernate in combination with Spring Boot and Spring Data JPA.

Do you want to Learn JPA & Hibernate and use them in combination with Spring Boot and Spring Data JPA?  Do you want to Learn about Entities, Relationships, Entity Manager, JPQL, Native Queries, Inheritance Hierarchies, Criteria API, Transaction Management, Caching and Performance Tuning with JPA & Hibernate in combination with Spring Data JPA and Spring Data REST? 



WHAT OUR LEARNERS ARE SAYING:


5 STARS - I really loved this course. The instructor explains features of JPA and Hibernate clearly and also very deeply. Especially I liked explanation of the transaction management what I didn't seen in other courses.By the way this course helped me to develop the persistence layer of a commercial application for my customer.

5 STARS - Absolute brilliant course, I was struggling using books but this course helped me understand using code to demonstrate how Hibernate and JPA work. Each video builds on the next and is at a pace that does not overwhelm you. I thoroughly recommend this course if you need to improve your Hibernate and JPA knowledge.

5 STARS - It is really state of the art and how spring boot and hibernate are used nowadays! This course was very helpful in my new job, since in the project we use spring boot and hibernate. Thank you!

5 STARS - This course exceeded my expectations, I thought I knew about hibernate but I discovered I didn't, I really recommend this course.

5 STARS - Thanks Ranga for the wonderful course on Hibernate and JPA with Spring Boot! It's a long course and well worth it. Keep up the great work!



COURSE OVERVIEW


Hibernate is the most popular implementation of JPA. It was the most popular ORM framework option before JPA emerged and it provides additional features on top of JPA. We will use Hibernate as the JPA implementation in this course.

The Java Persistence API provides Java developers with an api for mapping java objects to relational data. In this course, you will learn about the Hibernate, JPA API, JPQL (Java Persistence query language), Java Persistence Criteria API and how you can perform ORM (Object Relational Mapping) with JPA and Hibernate. 


During this course


You will learn the basics of JPA and Hibernate - Entities, Relationships, Inheritance Mappings and Annotations

You will understand approaches to querying data using JPA and Hibernate - JPQL, Criteria API and Native Queries

You will understand JPA and Hibernate Relationships in depth - One to One, Many to One and Many to Many

You will use a variety of Spring Boot Starters - Spring Boot Starter Web, Starter Data Jpa, Starter Test

You will learn the basic of performance tuning your JPA application with Hibernate - Solve N+1 Queries Issue. 

You will learn the basics of caching - First Level Cache and Second Level Cache with EhCache

You will understand the basics of Spring Data JPA and Spring Data REST



COURSE HIGHLIGHTS


Journey from JDBC To JPA


Step01 - Setting up a project with JDBC, JPA, H2 and Web Dependencies

Step02 - Launching up H2 Console

Step03 - Creating a Database Table in H2

Step04 - Populate data into Person Table

Step05 - Implement findAll persons Spring JDBC Query Method

Step06 - Execute the findAll method using CommandLineRunner

Step07 - A Quick Review - JDBC vs Spring JDBC

Step08 - Whats in the background? Understanding Spring Boot Autoconfiguration

Step09 - Implementing findById Spring JDBC Query Method

Step10 - Implementing deleteById Spring JDBC Update Method

Step11 - Implementing insert and update Spring JDBC Update Methods

Step12 - Creating a custom Spring JDBC RowMapper

Step13 - Quick introduction to JPA

Step14 - Defining Person Entity

Step15 - Implementing findById JPA Repository Method

Step16 - Implementing insert and update JPA Repository Methods

Step17 - Implementing deleteById JPA Repository Method

Step18 - Implementing findAll using JPQL Named Query


JPA/Hibernate in Depth


Step01 - Create a JPA Project with H2 and Spring Boot

Step02 - Create JPA Entity Course

Step03 - Create findById using JPA Entity Manager

Step04 - Configuring application.properties to enable H2 console and additional logging

Step05 - Writing Unit Test for findById method

Step06 - Writing a deleteByID method to delete an Entity

Step07 - Writing Unit Test for deleteById method

Step08 - Writing a save method to update and insert an Entity

Step09 - Writing Unit Test for save method

Step10 - Quick Review and Debugging Tips

Step11 - Playing with Entity Manager

Step12 - Entity Manager Methods - clear and detach

Step13 - Entity Manager Methods - refresh

Step14 - A Quick Review of Entity Manager

Step15 - JPQL - Basics

Step16 - JPA and Hibernate Annotations - @Table

Step17 - JPA and Hibernate Annotations - @Column

Step18 - JPA and Hibernate Annotations - @UpdateTimestamp and @CreationTimestamp

Step19 - JPA and Hibernate Annotations - @NamedQuery and @NamedQueries

Step20 - Native Queries - Basics

Step21 - Entities and Relationships - An overview

Step22 - Defining Entities - Student, Passport and Review

Step23 - Introduction to One to One Relationship

Step24 - OneToOne Mapping - Insert Student with Passport

Step25 - OneToOne Mapping - Retrieving Student with Passport and Eager Fetch

Step26 - OneToOne Mapping - Lazy Fetch

Step27 - Session vs Transaction

Step28 - OneToOne Mapping - Bidirectional Relationship - Part 1

Step29 - OneToOne Mapping - Bidirectional Relationship - Part 2

Step30 - ManyToOne Mapping - Designing the database

Step31 - ManyToOne Mapping - Retrieving and inserting Reviews for Course

Step32 - ManyToOne Mapping - Generalizing Insert Reviews

Step33 - ManyToOne Mapping - Wrapping up

Step34 - ManyToMany Mapping - Table Design

Step35 - ManyToMany Mapping - Adding Annotations on Entities

Step36 - ManyToMany Mapping - Fixing two join tables problem

Step37 - ManyToMany Mapping - Customizing the Join Table

Step38 - ManyToMany Mapping - Insert Data and Write Join Query

Step39 - ManyToMany Mapping - Retrieve Data using JPA Relationships

Step40 - ManyToMany Mapping - Insert Student and Course

Step41 - Relationships between JPA Entities - A summary

Step42 - Introduction to Inheritance Hierarchies and Mappings

Step43 - JPA Inheritance Hierarchies and Mappings - Setting up entities

Step44 - JPA Inheritance Hierarchies and Mappings - Setting up a Repository

Step45 - JPA Inheritance Hierarchies and Mappings - Single Table

Step46 - JPA Inheritance Hierarchies and Mappings - Table Per Class

Step47 - JPA Inheritance Hierarchies and Mappings - Joined

Step48 - JPA Inheritance Hierarchies and Mappings - Mapped Super Class

Step49 - JPA Inheritance Hierarchies and Mappings - How to Choose?

Step50 - JPQL - Courses without Students

Step51 - JPQL - Courses with atleast 2 Students and order by

Step52 - JPQL - Courses like 100 Steps

Step53 - JPQL - Using Joins

Step54 - Criteria Query - Retrieving all courses

Step55 - Criteria Query - Courses like 100 Steps

Step56 - Criteria Query - Courses without Students

Step57 - Criteria Query - Using Joins

Step58 - Introduction to Transaction Management

Step59 - Transaction Management - ACID Properties

Step60 - Understanding Dirty, Phanthom and Non Repeatable Reads

Step61 - Understand 4 Isolation Levels

Step62 - Choosing between Isolation Levels

Step63 - Implementing Transaction Management - 3 Things to Decide

Step64 - Introduction to Spring Data JPA

Step65 - Testing the Spring Data JPA Repository with findById.

Step66 - Spring Data JPA Repository - CRUD Methosd

Step67 - Sorting using Spring Data JPA Repository

Step68 - Pagination using Spring Data JPA Repository 

Step69 - Custom Queries using Spring Data JPA Repository 

Step70 - Spring Data REST

Step71 - Introduction to Caching

Step72 - Hibernate and JPA Caching - First Level Cache

Step73 - Hibernate and JPA Caching - Basics of Second Level Cache with EhCache

Step74 - Hibernate and JPA Caching - Second Level Cache Part 2

Step75 - Hibernate Tips - Hibernate Soft Deletes - @SQLDelete and @Where

Step76 - Hibernate Soft Deletes - Part 2

Step77 - JPA Entity Life Cycle Methods

Step78 - Using Embedded and Embeddable with JPA

Step79 - Using Enums with JPA

Step80 - JPA Tip - Be cautious with toString method implementations

Step81 - JPA Tip - When do you use JPA?

Step82 - Performance Tuning - Measure before Tuning

Step83 - Performance Tuning - Indexes

Step84 - Performance Tuning - Use Appropriate Caching

Step85 - Performance Tuning - Eager vs Lazy Fetch

Step86 - Performance Tuning - Avoid N+1 Problems


Hibernate Tips & Tricks


When does Hibernate send updates to the database?

When do we need @Transactional in an Unit Test?

Do read only methods need a transaction?

Why do we use @DirtiesContext in an Unit Test?

How to connect to a different database with Spring Boot?

How do you approach designing great applications with JPA?

Good Practices for developing JPA Applications


Project Planning : Putting It All Together

 


Start Work With Me

Contact Us
Bibhuti Bhusan Sahoo
Bhubaneswar,India