Krishna · ML Engineer · 6+ yrs
Mid-LevelAbout Krishna
Krishna is an experienced Data Engineer specializing in cloud platforms like Azure and AWS, with a strong focus on GenAI and Machine Learning. He has successfully led teams to deliver critical data solutions and has a proven ability to manage projects from inception to production. His technical expertise is complemented by multiple awards recognizing his contributions to the field.
Core expertise
Additional skills(14)
Why hire Krishna?
Led teams of 5+ Data Scientists/Engineers to build GenAI tools.
Delivered 2 projects from scratch to production in Azure.
Managed a team of 4 for the Central Data Catalogue Project.
Recognized with multiple awards for technical excellence.
Drove 18 GenAI projects for clients, enhancing business value.
Implemented Automated Alerts for pipeline failures, ensuring data reliability.
Achieved the Excellence Award by Director, India, along with 3 other performance awards.
Project highlights(6)
GenAI Tools Development – Senior Data Engineer
Overview: Developed GenAI Tools for business and an internal RAG Framework for clients of a leading Venture Builder. Responsibilities: Led a team of 5 Data Scientists/Engineers to build GenAI Tools, working from scratch on 18 GenAI Projects for various clients.
Key outcomes:
Delivered 18 GenAI Projects for clients.
Developed a reusable internal RAG Framework.
Central Data Catalogue Project – Data Engineering Specialist
Overview: Managed a key project for a global aerospace company focused on data cataloging and data quality. Responsibilities: Managed a team of 4 in India, implemented Automated Alerts for pipeline failures to ensure data reliability.
Key outcomes:
Achieved the Excellence Award by Director, India.
Implemented Automated Alerts for pipeline failures.
Consumer Goods Data Analytics – Data Engineer
Overview: Delivered data analytics solutions for a global consumer goods client. Responsibilities: Completed 2 projects from Scratch to Production in Azure, mentored 2 interns in data engineering practices.
Key outcomes:
Completed 2 projects from scratch to production in Azure.
Delivered industrialised ETLs for critical BI reports.
Project 4 – DATA ENGINEER
- Delivered data analytics solutions for a global consumer goods client.
- Completed 2 projects from Scratch to Production in Azure.
- Mentored 2 interns in data engineering practices.
- Developed and delivered Industrialised ETLs for Critical BI Reports Functionalities including Writeback and Baseline Rule Engine.
Key outcomes:
Completed 2 projects from scratch to production in Azure.
Mentored 2 interns.
Delivered industrialised ETLs for critical BI reports.
Project 5 – SOFTWARE ENGINEER - BACKEND AND INFRA
- Contributed to a startup focused on bike rentals, managing backend development and infrastructure.
- Involved in App Backend dev, API and infrastructure design management.
- Worked with AWS Cloud services and implemented dynamic load balancing.
6+ years of industry experience
- •Consumer Goods Data Analytics— Data EngineerAzure · ETL · Data Factory · SQL
- •Project— DATA ENGINEERAzure · ETL · Data Factory · SQL
At a Glance
Single contract. Billed in USD.
Typically responds within 4 business hours.
Top Skills
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Krishna
Data Engineer