Testimonials
Services
Priority DM . 2 days reply
Have a query? Ping here.
Prefer texting over calls? Ask me anything at your own pace.
Video meeting . 90 mins
Claude Certification Mock Exam & Review
Attempt. Review. Understand. Improve.
Package . 4 products
Azure Data Engineering Career Accelerator
From CV to Cloud Data Engineer — guided end to end
Interview preparation & Tips
Video Meeting
1
Let's connect 👋🏼
Video Meeting
1
Career guidance
Video Meeting
1
Resume review
Video Meeting
1
Video meeting . 45 mins
Video meeting . 45 mins
5
Video meeting . 45 mins
Claude Certification Mock Exam Only
Attempt. Review. Understand. Improve.
Video meeting . 60 mins
Claude Certification Prep & 1:1 Tutoring
Personalized prep for Claude Architect certification
Full Exam Preparation . 8 products
Claude Certified Architect Prep Accelerator
Personalized prep roadmap for Claude Architect certification
Have a query? Ping here.
Priority DM
5
Claude Certification Mock Exam & Review
Video Meeting
1
Claude Certification Prep & 1:1 Tutoring
Video Meeting
2
Video meeting . 30 mins
Video meeting . 30 mins
About me
Data & AI Engineer with 7+ years of experience designing and building scalable, reliable and high-performance data platforms and AI-driven solutions across Microsoft Fabric, Azure, Databricks, Snowflake and AWS.
Specialised in modern data architectures, particularly the Medallion (Bronze-Silver-Gold) pattern, with hands-on expertise in metadata-driven ingestion frameworks, incremental pipelines and schema-evolution-resilient transformations using PySpark, Delta Lake and Spark SQL.
Recent Data Engineering work includes optimizing large-scale file and data processing pipelines to reduce execution time and operational effort by 60%+, building Bronze ingestion with incremental upserts, hashed natural keys, watermark processing, deduplication, soft-delete handling and standardized audit columns. Experience also includes modernizing complex MS SQL Server stored procedures into Spark-optimized Silver and Gold transformations on Microsoft Fabric Lakehouse and designing schema-drift-aware merge logic for evolving sources.
Alongside Data Engineering, hands-on experience building Generative AI and Agentic AI solutions using LLMs, LangGraph, RAG, OpenAI APIs and MCP. Designed multi-agent architectures with specialised agents, orchestration, conditional routing, tool calling, state management and structured outputs while integrating LLM reasoning with enterprise data and deterministic analytical logic.
Recent Agentic AI work includes an ESG Intelligence solution with specialised agents for data collection, regulatory tracking, carbon accounting, risk analysis, auditing, ROI analysis, reporting and stakeholder insights. Also developed research agents combining planning, search, financial and ESG tools, synthesis and automated report generation.
Strong in cross-functional collaboration with business, analytics and ML/AI teams to deliver trusted data products for reporting, dashboards, ML and AI workloads. Additional experience includes batch and real-time ingestion, CI/CD with Jenkins, Bitbucket and Terraform, Snowpark Python UDFs, Streamlit/React applications, Power BI and Tableau.
Passionate about Data Engineering, Generative AI and Agentic AI with a focus on building practical enterprise solutions that combine robust data foundations with intelligent systems. Experienced in modernising legacy systems, solving complex technical problems and mentoring teams.
Currently pursuing an MBA at IIM Shillong to complement technical depth with strategic and business acumen.