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I am an Analytics and Data Engineering professional with experience at ZS Associates, working across data pipelines, SQL-based analytics, reporting, automation, and enterprise data platforms.

My work focuses on building reliable data systems, converting business questions into analytical solutions, and using AI and automation to improve decision-making and operational efficiency.

• Focused on Data Engineering, Analytics Engineering, Data Analytics, and Business Intelligence
• Building with SQL, Python, Databricks, Microsoft Fabric, AWS, Redshift, PostgreSQL, Tableau, and Power BI
• Exploring applied AI, GenAI, intelligent analytics, and workflow automation
• Interested in projects that combine technical delivery with measurable business value
• Also involved in research, patents, expert lectures, and technology education

SQL Python Databricks Microsoft Fabric Amazon Redshift PostgreSQL AWS S3 ETL/ELT Data Warehousing Data Modeling

Tableau Power BI Business Analytics Dashboarding KPI Design Reporting Automation Data Visualization

Generative AI AI Agents Prompt Engineering Workflow Automation Python Automation Applied Machine Learning

Git GitHub Flask REST APIs NGINX Linux CI/CD Fundamentals

• Microsoft Certified: Fabric Data Engineer Associate (DP-700)
• Databricks Certified Data Engineer Associate
• Databricks Generative AI Fundamentals
• Matillion ETL Foundation
• Claude Certified Architect

I am actively developing public projects in the following areas:

• End-to-end data engineering pipelines
• Databricks medallion architecture
• Microsoft Fabric lakehouse and analytics solutions
• Business intelligence and commercial analytics
• AI/GenAI applications for data workflows
• Automation tools for productivity and outreach

Client work is not published directly. Public repositories use independently created, synthetic, or open datasets and avoid confidential information.

A custom portfolio focused on Analytics, Data Engineering, enterprise data platforms, research, and technical delivery.

View Portfolio

An automation-focused platform for managing structured recruitment outreach, scheduling, user workflows, and delivery tracking.

Status: under active development.

A computer-vision-based interaction project retained for AI demonstrations and expert-lecture use cases.

Alongside industry work, I am interested in:

• AI and machine learning for commercial and healthcare analytics
• Data-driven optimization in the diabetes and CGM ecosystem
• Applied patents and product innovation
• Expert lectures, faculty development programs, and student mentoring

I am primarily interested in roles related to:

• Data Engineering
• Analytics Engineering
• Data Analytics and Business Intelligence
• Business Technology and Analytics Consulting
• AI/Data roles with strong engineering or business impact

• Portfolio: namanofficial10.github.io
• Email: namansharma.official.1@gmail.com

Building reliable data systems, meaningful analytics, and practical automation.