Ravi K — DevOps Engineer
With 7 years of experience in Full Stack Data Engineering and 1.6 years in AI/GenAI, I specialize in building scalable, reliable, and cost-efficient data pipelines across Azure, AWS, and GCP. My expertise spans ETL development, data architecture, warehousing, and performance optimization using tools like Spark, Hadoop, Delta, dbt, Databricks, Python, SQL, and PySpark. I’m passionate about solving complex data challenges, ensuring strong data quality,data governance, security, and compliance, and delivering insightful dashboards and reports for better business decisions.In the AI space, I’ve worked on LLM evaluation, SFT, and RLHF, leveraging Azure Cognitive Services, AWS Bedrock, and SageMaker. I’m hands-on with OpenAI, Claude, and Copilot APIs, and experienced in RAG (Retrieval-Augmented Generation), LangChain, and AI workflow automation using GitHub Actions. My focus is on building practical AI solutions that bridge data engineering and intelligent automation.
Stackforce AI infers this person is a Data Engineering and AI specialist in the SaaS industry.
Experience: 7 yrs 2 mos
Career Highlights
- 7 years of experience in Full Stack Data Engineering.
- Expertise in building scalable data pipelines across major cloud platforms.
- Hands-on experience with AI solutions and data governance.
Work Experience
Automotive
Lead Data Engineer (1 yr 5 mos)
ConcertAI
AWS Data Engineer (1 yr 3 mos)
JLL
Azure Data Engineer 2 (1 yr 7 mos)
Azure Data Engineer (1 yr)
Brillio
Big Data Engineer (1 yr 11 mos)
Education
Bachelor of Technology - BTech at Gogte Institute of Technology