Kiruba Sankar S

Accomplished Technical Architect offering 20 years' experience in comprehensive design and development of infrastructure and architecture for software projects. Attentive collaborator and communicator from project conception to completion. Creative in devising solutions to improve business operations and meet clients' technical needs. Seasoned team leader possessing the technical and interpersonal skills to provide exceptional project deliverables.

• Practice lead for the Data engineering team.
• Data pipeline in GCP using airflow, dataflow, dataproc, pubsub, cloud run jobs and bigquery
• Django application with nginx+ gunicorn+ postgresql deployed on Ubuntu server.
• Implemented CI/CD pipelines for Django and NodeJS projects.
• All projects are implemented with distributed source code management GIT.
• Data Modeling for Master Database Management system.
• Recruiting new members for team.
• Planning road map for upgrading the application software and servers.
• Planning the technical enhancement of the application for code optimization and automation.
• Performance improvement for websites related to SEO and web page vitals.
• Migrating legacy application (lotus notes application) to Master database management system, Document Management System.
• Coding, Study the new requirement and prepare functional specification, design document, development, and test as well as prepare Test Plan.
• Integrate multiple applications using web services.
• Gained good exposure of planning and execution of all phases of software life cycle starting with requirement analysis, module design, development, testing, implementation and maintenance.

• Around Seventeen years of diversified experience in design, development, Implementation and Testing web development, Database modeling, Database Management, Reporting, GroupWare technologies.
• Created a data pipeline using GCP dataflow and apache beam.
• Have created applications multiple applications with Django python framework.
• Having very strong skills in Database modeling, Database Management and Object Relational Mapping.
• Done server migrations from On-Premises to cloud.
• Created the complete set up of the linux environment.
• Expert on identifying the area of improvement for better application performance.
• Identified the and automate the manual task
• Good team handling by encouraging the team members, identifying the problematic areas and guide them in improving there skills.

• End to end development and implementation of Master database management.
• Troubleshoot performance issues.
• Integrate applications with master database management system using web service and SQL queries.
• Made a proto type using Django web frame work for displaying the records from MDM and DMS.

Professional Data Engineering GCP:

https://www.credly.com/badges/7271d85a-6828-4cf7-bf66-7c21ef8eacfe/linked_in_profile

PROJECT TITLE: DATA PIPELINE USING GCP

PROJECT DESCRIPTION:  This project focuses on maintaining and optimizing existing data pipelines built on Apache Airflow, which run on Google Cloud's managed service, Cloud Composer. The pipelines facilitate seamless data movement, transformation, and orchestration across various data sources, ensuring high availability and reliability. Google BigQuery serves as the target data warehouse, enabling efficient storage, processing, and analytics at scale. The project involves monitoring pipeline performance, troubleshooting failures, implementing enhancements, and ensuring compliance with data governance policies to support business intelligence, reporting, and advanced analytics use cases.

Client:

Yeti

Software:

Google cloud provider

Role:

My role in the project is to architect the solution and create a POC for credit scoring using a custom model.

Duration:

March2022 to September 2022

Responsibilities:

• Analyze the required services needed for the data pipeline.
• Analyze the suitable file formats.
• Best possible architecture for creating the batch process and streaming process.

PROJECT TITLE: DATA PIPELINE USING GCP

PROJECT DESCRIPTION:  This project is a POC on GCP dataflow where we customize the data pipeline using apache beam. The project is created in such a way the dataflow gets triggered using cloud functions whenever a new file arrives at the cloud storage. The services used in this project are BigQuery, cloud functions, Dataflow, Pubsub, cloud storage, firestore and cloud monitoring. The data pipeline is customized using apache beam to read and modify the avro files.

Project highlight: The project is created as a batch service where the data flow is triggered only at the time of file arrival so we have a cost saving.

Client:

Relevantz Technologies

Software:

Google cloud provider

Role:

My role in the project is to architect the solution and create a POC for credit scoring using a custom model.

Duration:

March2022 to September 2022

Responsibilities:

• Analyze the required services needed for the data pipeline.
• Analyze the suitable file formats.
• Best possible architecture for creating the batch process and streaming process.

PROJECT TITLE: INVENSISLEARNING

PROJECT DESCRIPTION:  This portal is learning site developed by invensis where users enroll and attend the training on the scheduled date.

• Back end architect change in the categorising the course.
• Server side implementations of Gzip and proxing the requests with http2.
• Implementing lazy loading for faster page load.
• Server catching using redis.
• Adding the payment option using various currency.
• Implemented CI/CD for the project using bitbucket.

Client:

Invensis Technologies

Software:

Reactjs, Nextjs, Laravel, apache, OVH cloud.

Role:

My role in the project is improve the performance of the project and building architecture of designing the change requested by organization. Implemented CI/CD Pipeline for the project.

Duration:

Feb2021 to April 2021

Responsibilities:

• Study the existing environment
• Improve the system environment.
• Improve the page speed to get the better ranking in google page speed
• Automated data crawling from Indeed for fetching related job openings.
• Development, Deployment and maintenance in environment created in OVH cloud.

PROJECT TITLE: ONBOARDING-PORTAL

PROJECT DESCRIPTION:  This portal is used by sales officers for registering the onboarding details related to the client.

The details that are caputed are:

• structure account which will have multiple
• entities under the customers,
• entity details The details that are captured will go for a one level workflow to the supervisors of the sales employee.
• KYC details of the customers.
• Print optin to print the KYC using easy PDF and upload the signed KYC which will go to DMS (Onbase).

Client:

Amicporp Management

Software:

Django, bootstrap, PostgreSQL, MS SQL 2012, ONBASE, gunicorn, nginx, AWS (EC2)

Role:

My role in the project is end to end which includes

• Decision on Framework and designing the application
• Development using Django frame work and bootstrap 4.
• Server set up with Ubuntu, gunicorn, nginx.
• Implemented CI/CD pipeline using gitlabs.

Duration:

June 2019 to March 2020