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Data Engineering and AI-focused analytics professional with a Master’s in Data Science & Analytics and experience at Capgemini supporting enterprise operations, data validation, workflow modernization, and production support. Skilled in building ETL/ELT pipelines and improving data quality via reconciliation, governance checks, and KPI-driven reporting, with hands-on exposure to ML/NLP and GenAI workflows including Transformers, embeddings, prompt engineering, and RAG-style systems.…Data Engineering and AI-focused analytics professional with a Master’s in Data Science & Analytics and experience at Capgemini supporting enterprise operations, data validation, workflow modernization, and production support. Skilled in building ETL/ELT pipelines and improving data quality via reconciliation, governance checks, and KPI-driven reporting, with hands-on exposure to ML/NLP and GenAI workflows including Transformers, embeddings, prompt engineering, and RAG-style systems.

Kashish Prasad

Data Engineer, Data Scientist, Software Engineer, +2

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Data Engineering and AI-focused analytics professional with a Master’s in Data Science & Analytics and experience at Capgemini supporting enterprise operations, data validation, workflow modernization, and production support. Skilled in building ETL/ELT pipelines and improving data quality via reconciliation, governance checks, and KPI-driven reporting, with hands-on exposure to ML/NLP and GenAI workflows including Transformers, embeddings, prompt engineering, and RAG-style systems.…Data Engineering and AI-focused analytics professional with a Master’s in Data Science & Analytics and experience at Capgemini supporting enterprise operations, data validation, workflow modernization, and production support. Skilled in building ETL/ELT pipelines and improving data quality via reconciliation, governance checks, and KPI-driven reporting, with hands-on exposure to ML/NLP and GenAI workflows including Transformers, embeddings, prompt engineering, and RAG-style systems.

Available to hire

Data Engineering and AI-focused analytics professional with a Master’s in Data Science & Analytics and experience at Capgemini supporting enterprise operations, data validation, workflow modernization, and production support.

Skilled in building ETL/ELT pipelines and improving data quality via reconciliation, governance checks, and KPI-driven reporting, with hands-on exposure to ML/NLP and GenAI workflows including Transformers, embeddings, prompt engineering, and RAG-style systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Analyst – GE Aviation SWAMP Renewals Support Team at Capgemini

October 1, 2022 - August 31, 2023

Supported enterprise contract renewals by partnering with US-based Sales, Finance, Delivery, Product, and Procurement teams in an Agile environment. Analyzed operational data across 100+ contracts, achieving 100% on-time renewals and reducing SLA breaches below 10%. Performed source-to-target ETL-style migrations from legacy AccessDB to PostgreSQL/PHP architecture across AWS/Azure environments to improve reporting scalability and reduce manual intervention by ~30%. Built SQL/Excel reconciliation and data governance checks to debug pipeline issues, resolve schema duplicates/inconsistencies, and reduce reporting rework by ~20–25%. Collaborated with application developers to document transformation rules, validate PostgreSQL workflows, and test end-to-end contract lifecycle stages. Developed KPI-driven Power BI dashboards and complex SQL queries for executive visibility into backlog aging and operational bottlenecks.

Software Engineer – McDonald’s Global Support L3.5 Team at Capgemini

October 1, 2021 - October 31, 2022

Provided L3.5 production and engineering support for the NP6 POS software ecosystem for global enterprise restaurant operations. Maintained >95% SLA adherence across high-volume, multi-region environments. Debugged and resolved complex issues using Java, Spring Boot, .NET, and React, including SQL diagnostics, REST API validation, and JSON/XML payload inspection to reduce incident resolution time by ~15%. Investigated 200+ production incidents with structured log analysis and root-cause/payload inspection to eliminate recurring backend errors and reduce repeat defects by ~20%. Supported DevOps/CI/CD workflows via regression testing and validation of AWS environments and NP6 configurations to prevent post-deployment disruptions. Implemented reusable validation playbooks in Jira/Confluence to streamline workflows and resolve data synchronization failures between client terminals and backend services.

Software Developer Intern at Bharat Heavy Electricals Limited (BHEL)

June 1, 2018 - July 31, 2018

Developed a database-backed C# / ASP.NET application with schema design, CRUD operations, and validation controls to replace manual workflows, reducing processing time by ~30–40%.