Open to opportunities

Khizer Hayat

@khizerhayat

Message

Data Engineer and Microsoft Fabric specialist delivering scalable lakehouse pipelines and Power BI semantic models.

Pakistan

Message

What I'm looking for

I’m looking for a role where I can build scalable Fabric/Databricks data pipelines with strong governance, deliver reliable Power BI Direct Lake reporting, and continuously improve data quality, performance, and production stability.

I’m a results-driven Data Engineer and Microsoft Fabric Specialist with 3+ years of experience. I started as a Data Analyst and evolved into end-to-end data engineering, specializing in Microsoft Fabric’s lakehouse and warehouse solutions.

I design production-ready pipelines using medallion architecture (Bronze/Silver/Gold) and Delta Lake transformations, with batch and near-real-time ingestion. I’m strong in PySpark and advanced SQL, plus governance and security practices like RLS/CLS and sensitivity labels—while building low-latency Power BI Direct Lake semantic models and dashboards.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer – Microsoft Fabric

Current

Millennials Accounting and Bookkeeping

Jan 2024 - Present (2 years 7 months)

Designed and developed production-ready data pipelines on Microsoft Fabric, implementing medallion (Bronze/Silver/Gold) Lakehouse architecture on One Lake. Built batch and near-real-time ingestion using CDC/SCD patterns, optimized Delta Lake performance, and enforced governance with RLS/CLS and sensitivity labels.

Microsoft Fabric Data Fabric Lakehouse Delta Lake PySpark SQL CDC SCD Type 1 Audit Columns Upsert Logic Logging Monitoring Optimization Column Level Security (CLS)Sensitivity Labels

Data Analyst

Fatima Fertilizer Limited

Jun 2023 - Dec 2023 (6 months)

Managed and analyzed contracts and contractors inventory data, building ETL workflows to ingest and transform Oracle and flat-file sources. Developed dimensional models with SCD Type 1/2 patterns and created Power BI dashboards with advanced DAX for reporting.