Krishna Manohar

Having 11 years of total IT experience, 6 Years of GCP experience, 2 year of Python development experience and 7 Years of Oracle PLSQL production support experience. Having 6 months of experience in using AI tools like VS Code Copilot and Gemini. Acted as offshore application team member for Development and supporting the system.

Good hands-on experience in GCP (Big query, Dataflow, Cloud storage, Airflow, using Logs and metrics). Good knowledge with Python (OPPS, Control flows etc). Automated the SQL queries for report generation.

Mentoring new team members through trainings and the customizations in the project. Code reviews. Ability to resolve critical issues on Production Environment and delivering fixes on time. Excellent analytical, problem solving, communication and interpersonal skills.

Release Manager / GCP Data Engineer at Cognizant (2024-12 – Present)

Working on VZ Pod VBG and Wireline ST Customer Core Data Products projects for Verizon client using Google Cloud Platform.

• Worked on Table validations using Pelican tool from Teradata to GCP
• Worked on Json changes as per the retrofite requirement and involved in the CI/CD pipeline to push them into higher environment
• Worked on MFT data issues
• Using Big Query as a Relational database and data warehouse for Developing scripts according to Teradata ETL Logic
• Investigating issues at a deep level to find the RCA and providing the resolution
• Exception Handling
• Helping other team members in their development
• Good team player

GCP Data Engineer / Release Manager at HCL (2022-07 – 2024-12)

Worked on Siebel and Voice 360 projects for Colt client. Colt is an application that uses Hana as a Database and Bods Jobs. As the project got migrated to Colt, developed everything in GCP Big Query looking at the Bods job. NMTS and Switch are applications that acts as an inventory for CLI's (phone numbers) which customers can purchase from Colt.

• Creating projects in GCP console
• Using Big Query as a Relational database and data warehouse for Developing Routines according to the Bods Job
• Using logs, metrics and creating alerts
• Exception Handling
• Helped other team members in their development
• Preparing release Notes for the mappings which are supposed to be deployed in UAT and Prod
• Ensuring the Code review of the wrapper and approval
• Ensuring that all the routines has been successfully deployed in the respective environments
• Making sure that correct data is present in the respective tables
• Investigating issues at a deep level to find the RCA and providing the resolution
• Good team player

GCP Data Engineer at TCS (2020-12 – 2022-06)

Worked on Credit IPV Sigma project for Duetsche Bank. Credit IPV is an application which calculates variance between the prices received against independent market prices. As part of this Credit IPV receives, books, curves and its associated trades which will be having trade values based.

After the application got migrated to cloud, a business requirement is received where an application must be deployed in containers using Kubernetes Engine and Big query is used as Relational DB for that application for analyzing the issues with the data.

• Creating projects in GCP console
• Using Big Query as a Relational database and data ware house for analyzing the upstream data
• Creating virtual machines
• Deploying containerized applications and managing using Kubernetes Engine
• Using logs, metrics and creating alerts
• Cloud Pub/Sub
• Python Functions
• Python Variables
• Python Control Flows
• Python Inheritance
• Exception Handling

GCP Data Engineer / PLSQL Production Support Engineer at Innova Solutions (2018-12 – 2020-12)

Worked on Credit IPV Sigma and IPV GME Sigma projects for Duetsche Bank. Credit IPV is an application which calculates variance between the prices received against independent market prices. IPV GME Sigma business requirement involved deploying an application in containers using Kubernetes Engine and Big query as Relational DB for that application.

• As part of SL3 Support, did SQL Development in fixing the prod issues by debugging large scale PLSQL code for the multiple projects
• As part of PLQL Developer, created Packages, Procedures, Functions, Triggers etc.
• As part of Test Engineer, tested the code in lower environments in order to meet business requirements
• As part of Release Manager, ensured that the code with lower environments is aligned with the code present in Production after deployment
• Creating projects in GCP console
• Creating virtual machines
• Deploying containerized applications and managing using Kubernetes Engine
• Using logs, metrics

PLSQL Production Support Engineer at Tech Mahindra (2013-08 – 2017-09)

Worked on Classic project for British Telecom. Classic is a system that handles Routers, child components configuration according to user's requirement. Apart from this Classic will be having new user stories coming and it will be having new releases for every two months. Classic also has Java, CB Technologies including SQL/PLSQL.

• As a PDMT (Product Data Management Tool) Engineer, configured Child parts with its respective routers, technical elements and commercial elements with its associated service types (GMPLS6C, GMPLS3C, GINAC, GONEV etc)
• As part of SQL & Unix production support, resolved issues with production environment using SQL Developer and Unix
• As part of PLQL Developer, created packages, procedures, triggers etc.
• As a Release Manager, ensured the files present in the DEV environments, CST environments, Test environments and pre-prod environment are aligned with same version of code before the deployment in prod
• As part of PLSQL & Unix production support, resolved issues with production environment using SQL Developer and Unix

B.Sc. in Computer Science – Vidyanjali Degree college affiliated to Vikrama Simhapuri University (2010-05 – 2013-03)