Personal details

Rajesh N. - Remote data engineer

Rajesh N.

Timezone: Kolkata (UTC+5.5)

About

I am having 10+ years of experience in Information technology industry including areas such as software engineering, cloud engineering, data migration,data modeling, data visualization,technical architecture designing and full stack application development.

Competencies:
– Focused, results-driven approach to solve problems
– Passionate about technology implementation, process optimization and business simplification
– Enthusiastic team player - love working within the team to meet objectives, share ideas, learn from others and help others
– Continuous Learner - passionate about learning and adapting new skills continuously
– Strong work-ethic with time management with adherence to corporate best practices
– Strong working knowledge of designing and implementing technical architecture solutions
– Experience with agile development process
– Experience with DevOps practices - Continuous Integration and Delivery

Work Experience

Senior Software Engineer
Mphatek System Pty Ltd | Jul 2017 - Present
Java
SQL
Django
Node.js
SSIS
Python 3
Spring Boot
Power BI
• Deployment on AWS EC2 • Data capturing and visualization solution using SQL Server, Python, Django, Plotly, Dash also Power BI • Automation of tasks using Node is , Python • Data migration from SQL to Big Data platform via Kafka integration in Java, Avro • Data modelling, Data integration, ELT pipeline creation, Data analysis using SQL, SSIS, Python • ETL module development using AWS EC2,S3,Lambda • Development and deployment of ETL modules for infrastructure monitoring Data lake using Python, Java ,Kafka
Project Associate
Cognizant Technology Solutions | Dec 2015 - Jun 2017
Java
Node.js
JavaScript
• Developed and deployed Data transformation and Data Integration module for Cloud Data migration project using Node Js • Enhancement and support for IBM Master Data Management Project using Java, EJB, SQL

Projects

Data Science & Engineering Django Portal
2021
SQL
Django
Python 3
The data science and engineering team maintains a data warehouse. The data stored is used for deriving and measuring the technical and operational stability of the bank. The data also is also used to report yearly performance in terms of team SLA adherence and availability. The web application built using Django helps out team members and external customers to capture data that gets stored and run analytics. The application has AWS integration for Email Notification. The application also has LDAP integration. Features : 1. Authentication using organizational AD Account 2. Data capturing via  Admin page with custom validation  3. Options to export data in csv,excel format 4. Plotly integrated for visualization of the analytics 5. Bootstrap4 integration for the front end 6. Email notification via AWS SNS integration using Python Boto3 CI/CD: Bitbucket used as code repository Deployment Configuration: DEV:Windows 2012 Server, Apache HTTPD 2.4, Python MOD_WSGI, SQL Server 2017 SIT:Windows 2019 Server EC2 instance , Apache HTTPD 2.4, Python MOD_WSGI, SQL Server 2017 PROD:Windows 2019 Server EC2 instance, Apache HTTPD 2.4, Python MOD_WSGI, SQL Server 2017

Education

Sikkim Manipal University Distance Education
Master of Computer Application・Computers
Feb 2013 - Aug 2018
NIIT
GNIIT Software Engineering・Software Engineering
Jun 2007 - Jun 2010