Harshit Pant
Application Engineer · Data Engineer · Microsoft Fabric Specialist
I am an Application Engineer with over five years of experience designing scalable enterprise data solutions. My work sits at the intersection of modern cloud architecture and real business impact — transforming complex, siloed data into trusted, automated analytics platforms.
My expertise spans the complete data lifecycle: from ingestion and transformation through modeling, validation, governance, and analytics enablement. I specialize in Microsoft Azure, Microsoft Fabric, Azure Data Factory, Azure Databricks, SQL, PySpark, Dataflows, Pipelines, Notebooks, and Eventstream.
Beyond the technical stack, I bring deep experience with enterprise integration patterns — having worked extensively with OpenText Content Server, SAP WRICEF, and ABAP to connect legacy enterprise systems with modern data platforms.
I believe great data engineering is invisible to the business — it just works, scales, and delivers trusted insights on demand. My approach prioritizes automation, observability, and building systems that outlast any individual contributor.
Full-Stack Data Engineering
Deep expertise across the complete Azure and Microsoft Fabric ecosystem.
Microsoft Fabric
Azure Services
Languages & Frameworks
Enterprise Systems
Data Patterns
DevOps & Governance
5+ Years of Growth
Microsoft Fabric & Real-Time Analytics
Designed enterprise Eventstream pipelines processing 2M+ events/day. Led Fabric Lakehouse migrations from legacy SQL warehouses. Implemented real-time operational alerting for business-critical workflows.
Azure Data Platform Architecture
Architected metadata-driven ADF frameworks supporting 200+ pipelines. Built medallion Lakehouse patterns with automated data quality gates and full CI/CD integration via Azure DevOps.
Enterprise Data Integration
Connected SAP and OpenText enterprise systems to Azure data platforms. Designed WRICEF components and ABAP data extraction layers. Automated weekly manual reporting cycles to daily freshness.
Data Modeling & SQL Engineering
Designed dimensional models for enterprise BI platforms. Built advanced T-SQL stored procedures, query optimization frameworks, and row-level security patterns for multi-tenant analytics.
Data Engineering Foundations
Started career building ETL pipelines for enterprise data warehouses. Developed strong foundations in SQL, data modeling, and cloud-first architecture principles on Azure.
Data Engineering Done Right
Five years of enterprise data work taught me that the best data platforms share one trait: they're invisible. The business just gets answers, on time, every time, without thinking about infrastructure.
I build systems that respect the business's need for speed and the engineer's need for reliability. Scalable architecture, automated quality, and clear documentation aren't nice-to-haves — they're the baseline.
Automation First
Every manual process is a liability. I design pipelines that run, recover, and report — without human intervention.
Data You Can Trust
Quality gates, schema validation, and lineage tracking built into every layer. Bad data never reaches the business.
Built to Scale
Architecture decisions made for tomorrow's volume, not today's. Parameterized, reusable, and cloud-native by design.
Observability
If you can't measure it, you can't trust it. Full monitoring, alerting, and audit trails on every production system.