
Ayufi Sk
@ayufisk
I build enterprise data platforms and GenAI pipelines that improve performance, governance, and operational efficiency.
What I'm looking for
At Altimetrik, I lead the architecture of enterprise data pipelines and Medallion Architecture solutions across ingestion, transformation, and serving layers. I also built a Microsoft Teams GenAI chatbot using RAG, Snowflake, Databricks Delta, and the OpenAI API.
Previously at Optum, I led a Delta Lake migration that improved data processing performance and query speed by 70%. I built healthcare ML models, data-quality pipelines, ETL/ELT workflows, and Airflow orchestration for distributed datasets.
My background also includes backend automation, REST APIs, AWS serverless systems, Elasticsearch, SQL optimization, and engineering leadership. I focus on scalable design, clear standards, reliable data quality, and mentoring teams across the data stack.
Experience
Work history, roles, and key accomplishments
Led architectural reviews and design sessions for end-to-end data pipelines, establishing team-wide standards. Architected and deployed an enterprise GenAI chatbot integrated with Microsoft Teams using RAG pattern.
Built and deployed supervised ML models for healthcare analytics. Directed migration of legacy data tables to Delta Lake, achieving 70% improvement in data processing performance.
Technology Analyst
Infosys
Oct 2020 - Jan 2022 (1 year 3 months)
Designed an Advanced Data Ingestion module integrating structured and unstructured data sources using Elasticsearch. Developed interactive backend applications and automation pipelines.
Developed Python and Bash automation scripts that streamlined backend operations, reducing operational overhead by 40%. Designed and deployed RESTful APIs and microservices using AWS Lambda and API Gateway.
Education
Degrees, certifications, and relevant coursework
West Bengal University of Technology
Bachelor of Technology, Computer Science
Grade: 8.0/10.0
Bachelor of Technology in Computer Science from West Bengal University of Technology, India, with a GPA of 8.0/10.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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